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DBMS > Citus vs. Ehcache vs. Microsoft Azure Table Storage vs. Rockset vs. Sadas Engine

System Properties Comparison Citus vs. Ehcache vs. Microsoft Azure Table Storage vs. Rockset vs. Sadas Engine

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted Java cache with tiered storage optionsA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDBSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSKey-value storeWide column storeDocument storeRelational DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.citusdata.comwww.ehcache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesrockset.comwww.sadasengine.com
Technical documentationdocs.citusdata.comwww.ehcache.org/­documentationdocs.rockset.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperTerracotta Inc, owned by Software AGMicrosoftRocksetSADAS s.r.l.
Initial release20102009201220192006
Current release8.1, December 20183.10.0, March 20228.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++C++
Server operating systemsLinuxAll OS with a Java VMhostedhostedAIX
Linux
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yes infospecific XML type available, but no XML query functionalitynonono infoingestion from XML files supportedno
Secondary indexesyesnonoall fields are automatically indexedyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoRead-only SQL queries, including JOINsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheRESTful HTTP APIHTTP RESTJDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nononono
Triggersyesyes infoCache Event Listenersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding infoImplicit feature of the cloud serviceAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby using Terracotta Serveryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users, groups and roles according to SQL-standard

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More resources
CitusEhcacheMicrosoft Azure Table StorageRocksetSadas Engine
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