safepeak
in my previous review of safepeak new i covered the first 4 things i noticed in the new safepeak (check out my article “sqlauthority news – safepeak releases a major update: safepeak version 2. 1 for sql server performance acceleration”) :
so we tested safepeak. after some problem during installation we encountered connection problems of safepeak to sql server that were not configuration related .
however, while safepeak works well with sql server oltp apps, it does not play well with olap databases. you can still use safepeak, but you will need to specially configure clr objects with safepeak .
pinal has written several blog posts about the various features in safepeak. you can also read more about safepeak architecture on the vendor website .
for those who would like to learn more on safepeak architecture and how it works, i suggest to read this vendor’s webpage: safepeak architecture .
safepeak develops a technology for acceleration and scale of database by automated dynamic caching .
safepeak improves a large microsoft crm dymamics deployment. 70% cache hit ratio .
with the closure of scalebase inc (2015), safepeak board of directors decided to close safepeak' s operations and no longer support sales and provide technical support .
in the new version, safepeak brought a new feature called “logon trigger” to solve the above challenge. by special click of a button safepeak can deploy a special server logon trigger (with a clr object) on your sql server that actually monitors all connections and informs safepeak on any connection that is coming not from safepeak. in safepeak dashboard there is an interface that allows to control which logins can be ignored based on login names and ips, while the rest will invoke cache cleanup of safepeak and actually locks safepeak cache until this connection will not be closed. important to note, that this does not interrupt any logins, only informs safepeak on such connection .
high availability: safepeak cluster edition preserves data by offering high availability and instant failover from one safepeak instance to another if deployed in a two - node, hot - standby configuration .
“safepeak improved website response time by 380% during load and 126% on average. ”
overall, i am very impressed with safepeak as a novel product. safepeak is a great acceleration solution for users who want immediate results for sites with performance, scalability and peak spikes challenges .
this website doesn' t belong to safepeak technologies ltd, nor it is operated by it .
safepeak / dcf technologies develops a technology for acceleration and scale of database by automated dynamic caching .
the cache is also updated whenever the data becomes invalid – all database queries, not just the read queries, are routed through safepeak to sql server and safepeak analyzes t - sql queries for data - modification events and then refreshes the relevant cache items. since data modifications not seen by safepeak can effectively corrupt the cache, the new version of safepeak also contains a feature called logon trigger, which intimates safepeak about a direct connection to sql server and if needed, refresh the entire cache .
if you have an application with many parts, many servers many possible locations that can actually update the database, or the sql server is accessible to many dbas or software engineers, each can access some database directly and do some changes without going thru safepeak – this can create a potential corruption of the data stored in safepeak cache. to make sure safepeak cache is correct it needs to get all updates to arrive to safepeak, and if a dba will access the database directly and do some changes, for example, then safepeak will simply not know about it and will not clean safepeak cache .
safepeak accelerates response time by 60% the gamepulse data integration, analysis and reporting solution by eedar .
safepeak improves sharepoint 2007 infrastracture scalabilitity by more than 150% : a benchmark by a large telco .
mamram graduate with over 15 years experience in managing and developing software. precise, symantec, safepeak and
since then i had a chance to play with safepeak some more and here is what i found .
ability to grant permissions to someone without changing its configuration and only use safepeak as performance analysis tool .
safepeak brings micro - second response time applications and websites working on sql server 2005, 2008, 2012 .
in 2013 safepeak partnered with aws to enable amazon web services customers to scale and accelerate sql server databases. in 2015 safepeak partnered with microsoft azure to enable azure cloud customers to scale and accelerate sql server based cloud applications .
safepeak for sql server provides dbas with plug and play result - set caching that significantly improves response time and performance of sql server queries. this demo provides an overview of the safepeak environment. additional information can be found at urltoken
safepeak technologies, formally dcf technologies ltd. develops software safepeak dynamic caching, a smart and automated distributed proxy cache between application servers and database servers to accelerate data access and retrieval, with no need to change existing databases or applications .
safepeak is a caching proxy that resides between the application and the database. it is unique in the way it requires neither code changes nor database changes. the only change required is routing the application through safepeak instead of the database .
from this point safepeak is in auto - pilot, learns the traffic patterns and does caching of whatever is possible .
3) very easily – for each of your sql instances you create an instance on safepeak (not real sql instance, but a instance that points to your sql server instance). if your sql server is a cluster, you simply place your cluster virtual ip (vip) to safepeak. then safepeak points always to your active sql server .
to accelerate queryies response time safepeak caches the results of queries and returns a response in few microseconds speed. safepeak ensures data delivery and high availability for mission - critical sql server applications and safeguards against unpredictable traffic spikes and surges of usage .
disclaimer: safepeak no longer provides technical and sales support. the technology is free for use with no responsibility and liability .
safepeak requires that all traffic to the database will go via safepeak, so in real - time when an update arrives it learns it, and then cleans the cache from the effected cached results, based on understanding which tables will be updated .
mamram graduate with years of experience in managing and developing software. precise, symantec, taboola, safepeak, revize and valooto
on the dashboard screen in safepeak you will be able to see those connections and then decide what to do with them .
adaptability: safepeak is highly adaptable to meet a wide variety of different application and deployment needs. no changes are required in the application to deploy and integrate safepeak. further, it provides powerful schema mapping and in - depth database usage analytics information .
extreme speed: safepeak relies on patent - pending in - memory caching technology to achieve throughput of tens of thousands of transactions per second with response times measured in microseconds. extreme speed is further achieved because safepeak brings performance - critical data closer to the application .
the stats are being updated every 15 minutes and safepeak dashboard allows going back in time and investigating what happened within any time frame .
the application should be pointed (via connection string or etc \ hosts file or a change of dns record) to the safepeak server instead of the database. if you have jobs running on sql server using the agent then you may need to define an “alias” to the agent that will route all the jobs via safepeak (but only if want safepeak to be aware on any updates they may perform) .
safepeak just works! one of the most complicated and smart, yet so simple, software commercial products in the it market .
webcast: sql server 2014 in - memory oltp and safepeak in - memory caching presented on: july 30, 2014. find out more about the two major in - memory technologies: the sql server 2014 in - memory oltp and safepeak in - memory caching. replay webcast
the safepeak product is especially designed for real life applicaitons, not just read - only. for example, microsoft crm dynamics, microsoft sharepoint – all are good examples for applications that do lots of reads and lots of writes (but more read - intensive) that benefit safepeak .
on transactional applications, there are many such repeatable queries and safepeak can reduce the overhead of executing them against the database over and over again .
safepeak can be installed in minutes to any existing application, including packaged and third - party applications, and fine - tuned in hours. safepeak automates dynamic caching of sql server databases, cutting the database response time to microseconds, all without requiring any changes to the application or database .
vladi vexler is safepeak' s founder, its ceo & president and the cto visionary behind safepeak products and strategy. vladi has extensive experience in building startups, designing complex software products and platforms and delivering them to the market in the big - data, cloud, enterprise and web arenas .
the data on the sql server is always up - to - date and the cache items that remain in safepeak memory are always up to date .
2) sure. any application that works with sql server. sharepoint too. here is a case study what safepeak can do to your sharepoint :
safepeak technologies ltd. (us) developed a plug and play software solutions. the company was founded in 2007 and was headquartered westwood, ma .
configuration of this feature in safepeak dashboard can be done here: settings - > sql instances management - > click on instance - > logon trigger tab .
safepeak sits between the application and the database, servers, so that all the database calls go through it. it stores the result sets returned by the database in ram, as is. when a recurring query or sp execution with the same parameters is passed through safepeak, it will reply from ram in a fraction of a millisecond instead of sending the query to the database. safepeak employs traffic analysis to identify queries that are repeatable and will benefit from caching .
testing out a trial version of safepeak for read intensive web application implemented using sql server as back end database. the only interaction between web application and database is through stored procedures. as of now, i do not see any decrease in database activity or safepeak using cached data to serve the data request. will keep you posted .
safepeak’s team made sure to protect the application and database from potential glitches of software and hardware. basically, in single - mode installation the worst case of any failure the traffic will be sent directly to the database server. in cluster installation, safepeak second, the passive server takes over (virtual ip) and becomes the active one .
we very much appreciate the feedback and points that have been raised. i want to provide some additional information that could be useful in understanding and using safepeak more effectively .
i also did a 5 minute video review of safepeak a couple of weeks ago where i saw some good results in my testing. you can find the video here :
adding a database instance to safepeak requires mixed authentication on the database but again, it is simple and takes few seconds. from this point safepeak analyzes the schema and creates the relations, graph, a procedure that takes between seconds to an hour and is a one - time operation. once this is completed, you are good to go .
while there are specific environments that will clearly benefit from safepeak, such as sql servers with high selectivity and read - intensive databases, it is designed for oltp applications. such environments that seem to get the most out of safepeak’s acceleration are e - commerce, cloud and hosted apps, large sharepoint and crm dynamics implementations, erp & crm applications .
there is fine tuning that can be done to improve performance in relation to stored procedures that perform dynamic sql (inform safepeak which objects are being accessed) and the same operation is required for clr and encrypted objects. the application will continue to work without the configuration, but the effectiveness of safepeak decreases. basically within one hour the application will be accelerated .
testing safepeak at the moment. there are several things to manage during installation process (framework not correctly installed, iis role not correctly installed) before i could use the tool .
as a customers, we use safepeak as a solution for our performance tool. we use it on our microsoft crm dynamics 4 use by 1000 call center people. safepeak give us 40% - 70% better performance for sql selects. the solution worth then other we test before. very easy to implement and very easy to test if it do the job…. and it do! !! the team of safepeak are very helpful and can help a dba team to solve a lot of applications performance problems. use it, my recommendation .
safepeak is an automated dynamic caching software solution for sql server databases and applications to accelerate performance and to boost scalability. database queries and stored procedures are accelerated to micro - second levels .
massimo pezzini, vp at gartner: unique plug & play, automated nature of safepeak, enables immediate improvement in application performance. a key differentiator vis - א - vis existing solutions .
we are always looking for ways to improve the user experience and performance for our customers and welcome all to try safepeak. please send us questions, ideas and comments to info @ urltoken
safepeak is a plug - and - play software solution for increasing the scalability and acceleration of performance, especially at peaks of usage, for mission - critical applications and sql server databases .
safepeak’s solution to the performance problem is to store the result sets returned by the database in ram, as is. when a recurring query or sp execution with the same parameters is passed through safepeak, it will reply from ram in a fraction of a millisecond instead of sending the query to the database, thus significantly reducing resources from the database server and the database storage .
1) the price depends on your environment, number of databases, instances and if you need safepeak single or cluster installation. options for monthly subscription and a permanent license both are available .
safepeak is a great sql server performance acceleration solution for users who want immediate results for sites with performance, scalability and peak spikes challenges. especially if your apps are packaged or 3 rd party, since no code changes are done. safepeak can significantly increase response times, by reducing network roundtrip to the database, decreasing cpu resource usage, eliminating i / o and storage access .
in order to achieve this behavior, safepeak reads and analyzes the tds protocol (the protocol between the application and the sql server), making it transparent to any application working with sql server .
safepeak technologies ltd, originally named as dcf technologies ltd, is a big - data software company founded in 2007 in israel by vladi vexler, who served as company ceo, president and cto .
safepeak technologies partnered with many value added distributors and technology partners from usa (such as amazon web - services, microsoft azure, cogito na and others), israel (ness, valinor), europe and hong - kong .
index constantly checks hot and trending companies for their latest activity. we haven' t gotten to this company yet, but if you follow it you' ll be the the first to know when safepeak technologies makes some noise .
it is simple, plug - and - play, and easily integrates into the current architecture. if you have an important sql server website or enterprise application whose performance affects company sales and productivity – then it is definitely worth giving safepeak a try .
safepeak installation is quick and simple, and is completed in few minutes. it requires a different server than the database with windows 2008 64bit or windows 2008r2 (vmware, microsoft hyper - v or any cloud virtual instance / server are supported as well) .
safepeak self - learning technology analyses the db schemas, detects sql patterns and activates
dynamic caching
( patent pending), storing queries results in ram, while maintaining 100% data integrity by identification and application of data changes (dml / ddl) in real - time .
safepeak is a plug - and - play dynamic database caching solution, designed to improve data access performance for applications built on sql server. it offloads the read queries and stored procedures which perform “select” by dynamically caching in - memory result sets, thereby reducing read response time and overall database load .
ted spence, cio at eedar: caching is essential for a product with significant data volume and numerous queries. instead of to building our own caching strategy, safepeak offered us a perfect match: an “out - of - the - box” solution, that instantly improved our response time by 60% !
safepeak' s sql server acceleration solution reduces database load by 60% to 90% and increases overall throughput by over 100% . it accelerates custom and third - party document management, crm, erp, and other enterprise applications, as well as ecommerce, public and private cloud applications, and web servers .
safepeak solution is hosted either within your cloud servers, hosted servers or your enterprise servers, as part of the application architecture. connection of the application is done via change of connection strings or adding reroute line in the c: \ windows \ system32 \ drivers \ etc \ hosts file on all application servers .
safepeak enhances scalability by offloading the read (
select
) queries, and stored procedures which perform
select
of information, from operational databases, significantly increasing database capacity for handling transactional queries and updates. sql server load is cut by x4 - x10 times, freeing resources for transactions that actually perform data changes. overall database throughput is increased, transaction efficiency is enhanced, scalability is achieved, while leveraging existing hardware and software. it is especially appropriate for internet applications that experience unpredictable and varying peaks of usage. in addition, safepeak helps to ensure real - time performance and high availability for traditional businesses running oltp applications .
given how important performance is these days among sql server critical applications, i was excited to look into a new product by safepeak technologies that aims to immediately resolve, in a plug - and - play way, the performance, scalability and peaks challenges of sql server applications on the cloud, hosting servers and enterprise data centers .
the idea behind safepeak is that simple – repeatable queries should not be executed against the database, the result sets can be stored in ram and can be returned immediately, in fractions of a millisecond, without the need to validate the syntax, calculate the execution plan, read io blocks from the disk and perform data aggregation .
safepeak itself is not flexible / dynamic enough for our needs (big - size online shop). you cannot directly configure which sql statements to cache. default is to cache all possible patterns and you have to disable caching for specified patterns or tables. in an database with dozens of tables and much more statements this is nearly impossible to handle .
a: mark: other than file system and os? hmm… let’s see: pci - based cards that cache block - device level cache, e. g. emc vfcache, sandisk fusion - io, netapp flash cache. native network protocols (cifs and nfs) caches. local database caching, e. g. , safepeak, timesten, windows azure caching .
automated dynamic caching: safepeak automatically accelerates applications, working with sql server databases, by dynamically caching in - memory results of frequently accessed and performance critical data. the cached data is dynamically changing in real - time on arrival of updates / inserts / delets (dml, ddl) commands and stored procedures – while keeping the cached data 100% reliable and up to date .
we started setting up a test environment for safepeak but ended up abandoning the effort due to the way the engine handles dynamic sql. there’s a lot of configuration overhead for any handling of dynamic sql and a lot of wholesale dumping of tables from the cache. you also have to route all jobs, ssis packages, etc through it — anything that modifies data. for a very specialized sort of environment, though, it looks promising. i’d like to have gotten further with it .
safepeak solved this complicated challenge with patent - pending algorithms with three parts: 1) automatic analysis algorithm of the database schema and creation of a relations, graph between all the objects in the database: tables, views, triggers, functions, stored procedures, etc. ; 2) a self - adaptive algorithm that studies the application traffic, creates patterns of queries and understands their dependant objects; 3) real - time analysis of the tds and the t - sql queries upon arrival of data modification event, and then flushing or refreshing in real - time the relevant cache items results .
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accelerates most sql server applications (cutom or 3rd - party): websites, saas app, social network, crm, or other critical applications (dynamics, sharepoint) with performance issues .
delivers microsecond query speed by dynamically serving result - sets from in - memory cache .
reduces database load by 50 - 90% and increase overall availability and scalability .
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automated result set dynamic caching technology brings performance, speed, scalability and throughput of in - memory databases to any existing and 3rd party applications and websites working on sql server 2000, 2005, 2008, and 2012 .
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while most sql server shops ask me about performance monitoring and alert solutions, to allow them to identify and analyze performance bottlenecks, this unique product actually can resolve them and increase performance in dramatic ways .
the benefits of such a solution are obvious: quick integration, immediate roi, no complex projects and most importantly, minimal downtime for production systems .
as far as i know, this is the only true plug & play caching solution available on the market today and it can provide instant acceleration to any cloud, hosted or business sql server application .
the main challenge with database caching is to understand in real time when data is no longer valid and should be evicted from the cache. data can become obsolete for numerous reasons: dml, ddl, executing complex stored procedures, triggers etc .
the nice, easy browser - based gui allows both product management and also provides tools for performance bottlenecks identifications and analysis .
the product provides a structured way to see performance information starting with the instance level all the way through the query execution .
on each level the product shows the amount read and records the average response time, the cached response time .
option 1 will also work but will not give result in decimals so option 2 is the right answer .
after that i noticed that evaluation on a minimal traffic test system is not very significant. so i have to run a test in hight traffic production enviroment .
the opposite way to enable all patterns and / or tables to be cacheable and a more dynamic pr configurable way to define when cache expires and on what exact updates cache expires would be much more practicable for our needs .
we have customers with very complex database schemas and large databases using applications like sharepoint 2007, microsoft dynamics crm and nav which have hundreds and even thousands of tables, views, procedures and queries .
with many systems very little configuration is required (like dynamics crm and nav), while applications that have many procedures with dynamic sql or clr objects can take several hours to fine tune, requiring around 3 - 6 minutes of configuration per each active dynamic / clr procedure .
you can choose to automatically (default) activate cache to all “cacheable patterns” or to start with no patterns automatic activation and then activate them manually. this is done in the settings - > sql instances management - > instance name - > instance configuration – > “automatically apply patterns” checkbox .
in the cache management module you can find the objects you are interested in by filtering, using search free text and re - ordering results. by default the most active objects are always shown on the top (tables on the tables screen, sql patterns on the patterns screen etc .). you can re - order things differently by clicking any column name .
in tables screen you can easily find and “check” the tables you are interested in, and then click “show patterns”. this will show you only sql patterns that access those tables .
you can also enter free text and click “search” and then see only objects that match your criteria .
for each sql query, you have the ability to configure its cache timeout and schedule cache cleanup at certain hours .
for each pattern the system automatically identified its “dependencies”: the tables and views it reads from. the cache item will be cleaned from memory on the arrival of an update command to one of those tables. this is how data reliability is achieved .
you have the option to change this default behavior by removing one of the dependent objects. this allows you to have items in cache for a specifically defined time even if the data behind it is already obsolete .
1) the cost of the product. 2) does this product only work with sql server or does it also help sharepoint? 3) we have clustered environment, how does this product fit into it ?
looking forward to answer of these queries and may be other have similar questions .
please, ping me an email to alexs @ urltoken to get more details .
thanks for your answer, i will pass this info to sr. dba – david m .
i sent you email regarding that replication error issue, which you were facing and i am awaiting your response on the same .
i found it simple to install and configure and got great reductions in page load times and database resource consumption with very little effort .
nice video. i like it is in high quality. the best part was sql tuna – that product looked very interesting .
here is my quick question to you – 1) am i correct that this application uses cacheing mechanism? 2) if yes, what happens if underlying data changes? – i know the answer will be well – the product will adopt and clear cache for the same. 3) if data is changing too much – this product will be continuous busy just maintaining itself and will be additional load on system. my perosonal opinion is that this product should be good for only read only workload – am i correct sir ?
the product uses a patent pending mechanism for caching results of queires in memory. the queries can be complicated reports, it can be stored procedures and it can be small but very frequently asked queries. even client cursors can be cached too .
thanks for the question. i will try to get back to you soon .
btw, i am not sure about my next mumbai trip but trust me it will be there .
the images are too small – i like the video in earlier comment but why that video is not in the blog post .
pinal dave is a sql server performance tuning expert and an independent consultant. he has authored 11 sql server database books, 21 pluralsight courses and has written over 4000 articles on the database technology on his blog at a https: / / blog. sqlauthority. com. along with 16 + years of hands on experience he holds a masters of science degree and a number of database certifications .
pinal is also a crossfit level 1 trainer (cf - l1) and crossfit level 2 trainer (cf - l2) .
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thanks pinal and infoq for bringing this nice post together. safepeek indeed looks very promising. java67
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between years 2008 and 2012 the company received venture funding of approximately 2 million dollars from xenia ventures, private investors (angels) and office of the chief scientist (israel) .
following the technology acquizition aggrement (january 2014), a complex effort led by vladi vexler and tuvia barlev, vladi joined scalebase (usa boston based big - data startup) where he headed the technology and product marketing .
former idf pilot, president of precise, ceo of attunity, svp veritas and chairman of softlib and brightinfo .
a seasoned serial entrepreneur with years high - technology leadership in telecommunications, storage, e - commerce, and clean energy. co - founded and served as ceo / executive chairman for actelis networks; superfish; adyounet; and leyden energy. prior to founding actelis, mr. barlev was head of the r & d organization at teledata (acquired by adc in 1998) .
the winner of best story and winner of ipad 2 is: jason brimhall (usa) with a story about a proc with a fair amount of business logic and performance problems both in the sql, the network and io .
the random 3 participants won the second prize of $ 100 gift card on urltoken are: michael corey (usa), hakim ali (usa) and alex bernal (usa) .
5 participants won a printed copy of a book of mine (book reviews of sql wait stats joes 2 pros: sql performance tuning techniques using wait statistics, types & queues) are: patrick kansa (usa), wagner bianchi (usa), riyas. v. k (india), farzana patwa (usa) and wagner crivelini (brazil) .
i recently started working on an issue where performance has been going down couple of times a day during peak hours. there are around 400 + tables in database, out of which 8 are most important tables. all of these 8 tables has around 60 indexes on them each (rounding up here. .). out of these 60 indexes - 20 indexes have 0 reads (seeks + scans + lookups) - around 10 indexes have less than 100 reads. the writes on these indexes are 1. 5 + million (user _ updates). these numbers can be used since sql server has been running for 230 days. what has happened here is the developers had been running profiles to capture workloads and using dta to create indexes, which has led to many * useless * indexes being created. moreover, all of these indexes are created on single column - exactly as suggested by dta. we dropped all the unnecessary indexes, (after testing workloads and checking with vendor - this was the toughest part :) ) and the issue which happened almost daily, is happening once a week (still need more investigation... )
development decided to add a table for performing validations. this table was to have a record for each record of our credit card transaction processing system. records could be archived after 3 days. we collected data. on day 3 the automated job kicked off to delete, based on date, and the process took 9 hours to complete and caused various issues. it wasn' t until we fought the system for a few weeks and finally rearchitected the delete solution to generate a list of ids to be deleted, initially based on the composite primary key and secondarily based on the index of date, then deleted those that matched that list that we could perform the operation in minutes, rather than hours .
robert pearl, president and founder of pearl knowledge solutions, inc. , and a sql server mvp, has over 12 + years of experience as a senior dba / engineer and performance tuning expert. robert is a sql server community evangelist, has published several articles on sql server, maintains the pearlknows blog at ssc. com, and covers local nyc events .
the data is show now on all arriving queries, both read queries (that can be cached), but also any types of updates like dmls, ddls, dcls, and even session settings queries .
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combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e. g. for a simultaneous processing of several programs
network - specific arrangements or communication protocols supporting networked applications in which an application is distributed across nodes in the network for distributed storage of data in a network, e. g. network file system [ nfs ], transport mechanisms for storage area networks [ san ] or network attached storage [ nas ]
network - specific arrangements or communication protocols supporting networked applications for the provision of proxy services, e. g. intermediate processing or storage in the network
network - specific arrangements or communication protocols supporting networked applications for the provision of proxy services, e. g. intermediate processing or storage in the network for storing data temporarily at an intermediate stage, e. g. caching
distributed intermediate devices, i. e. intermediate device interaction with other intermediate devices on the same level
a distributed cache data system includes a cache adapter configured to reserve a designated portion of memory in at least one node in a networked cluster of machines as a contiguous space. the designated portion of memory forms a cache and the designated portion of memory includes data cells configured to store data. the cache adapter is configured to interface with the data and a distributed file system and the cache adapter is further configured to provide an interface for external clients to access the data. the cache adapter is configured to communicate to clients via a web server, and the cache adapter is further configured to direct data access requests to appropriate the data. a related process of distributing cache data is disclosed as well .
the present invention provides systems and methods for increased scalability and decreased latency of cloud computing using a cloud - based distributed persistence and cache data model, with a structured query language (sql) application interface .
this manual intervention is needed to overcome physical limits on the amount of data that can be stored within the physical boundaries of a single machine or an external data array. before the advent of the web 2. 0 and its massive data scale, the above scenario could work forever as the computing power of a single machine with multicore computer processing units grew faster than the data growth of most organizations; however, the data scale for current applications is growing exponentially on a daily basis, and the above premise does not hold true. the above shortcomings, in addition to extremely prohibitive license and support costs, make relational databases disadvantageous for present and future cloud based applications with a data scale that is in exabyte and zettabyte .
cassandra provides a structured key - value store with eventual consistency. keys map to multiple values, which are grouped into column families. the column families are fixed when a cassandra database is created, but columns can be added to a family at any time. furthermore, columns are added only to specified keys, so different keys can have different numbers of columns in any given family .
the values from a column family for each key are stored together, making cassandra a hybrid between a column - oriented dbms and a row - oriented store .
apache couchdb, commonly referred to as couchdb, is a free open source document - oriented database written in the erlang programming language. it is a nosql product designed for local replication and to scale vertically along a wide range of devices. couchdb is supported by commercial enterprises couchone and cloudant .
hypertable is an open source database inspired by publications on the design of google' s bigtable. the project is based on the experience of engineers who were solving large - scale data - intensive tasks. hypertable runs on top of a distributed file system (dfs) such as the apache hadoop dfs, glusterfs, or the kosmos file system (kfs). it is written almost entirely in c + + for performance .
tokyo cabinet is a library of routines for managing a database. the database is a simple data file containing records, each a pair of a key and a value. every key and value are serial bytes with variable length. both binary data and character string can be used as a key and a value. there is neither the concept of data tables nor data types. records are organized in hash table, b + tree, or fixed - length array. tokyo cabinet was developed as the successor of gdbm and qdbm .
drizzle can be thought of as a counter - approach to the problems that key / value stores are meant to solve. drizzle began life as a spin - off of the mysql (6. 0) relational database. over the last few months, its developers have removed a host of non - core features (including views, triggers, prepared statements, stored procedures, query cache, acl, and a number of data types), with the aim of creating a leaner, simpler, faster database system. drizzle can still store relational data; and the aim is to build a semi - relational database platform tailored to web - and cloud - based apps running on systems with 16 cores or more .
the biggest drawback of distributed key / value databases such as the foregoing for applications with complex object graphs is the latency in response time and the lack of functionality that one takes for granted in any off the shelf generic relational database. most if not all of the social networking applications today entail extremely complicated object graphs .
bigtable is a compressed, high performance, and proprietary database system built on google file system, chubby lock service, sstable and a few other google programs; it is currently not distributed or used outside of google, although google offers access to it as part of their google app engine .
hbase is an open source, non - relational, distributed database modeled after google' s bigtable and is written in java. it is developed as part of apache software foundation' s hadoop project and runs on top of hadoop distributed file system, providing bigtable - like capabilities for hadoop. it provides a fault - tolerant way of storing large quantities of sparse data .
all three mainstream approaches to interaction between structured data and applications (along with cache) have pros and cons. the present invention provides a solution for the new cloud based paradigm by presenting, in a single package, a datastore that is both fully functional relationally and fully distributable in a cloud .
the present invention provides systems and methods for increased scalability and decreased latency in the database tier for cloud computing. these include systems comprising a cache adapter capable of storing data in either a relational, or non - relational (structured, or unstructured) database format, wherein the cache adapter is in communication with a distributed file system on the backend of the data cache for data persistence and a client cache on the front end of the client database (cache) for data synchs from the distributed file system .
the accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention that together with the description serve to explain the principles of the invention .
fig. 1 is a diagram depicting data flow between the cache adapter and the client in an embodiment of the present invention .
fig. 2 is a diagram depicting data flow and synchronization between the distributed file system and the client, utilizing the cache adapter in an embodiment of the present invention .
fig. 3 is a flow chart of data flow following a client request made using an embodiment of the present invention .
fig. 4 is a flow chart of data flow following a client login to establish a user persona using an embodiment of the present invention .
fig. 5 is a diagram depicting data cells in an embodiment of the present invention .
fig. 6 is a diagram depicting a user subscription to one or more vertical applications in an embodiment of the present invention .
fig. 7 is a diagram depicting the architecture of certain embodiments of the present invention where clients are communicating with the single instance of the database .
fig. 8 is a diagram depicting the backend synchronization of user data in a data cell with a client machine database according to an embodiment of the present invention.
safepeak technologies is a software company founded in 2007 in israel . it markets products for big data related to relational database management systems . 
safepeak technologies is a software company founded in 2007 in israel. it markets products for big data related to relational database management systems.
safepeak technologies is a software company founded in 2007 in israel. it markets products for big data related to relational database management systems.