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DBMS > Alibaba Cloud Table Store vs. Infobright vs. JaguarDB vs. OrigoDB vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. Infobright vs. JaguarDB vs. OrigoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonInfobright  Xexclude from comparisonJaguarDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendPerformant, highly scalable DBMS for AI and IoT applicationsA fully ACID in-memory object graph databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeRelational DBMSKey-value store
Vector DBMS
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeignitetech.com/­softwarelibrary/­infobrightdbwww.jaguardb.comorigodb.comsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.jaguardb.com/­support.htmlorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperAlibabaIgnite Technologies Inc.; formerly InfoBright Inc.DataJaguar, Inc.Robert Friberg et alSplice Machine
Initial release2016200520152009 infounder the name LiveDB2014
Current release3.3 July 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoGPL V3.0Open SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ infothe server part. Clients available in other languagesC#Java
Server operating systemshostedLinux
Windows
LinuxLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes
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.nononono infocan be achieved using .NET
Secondary indexesnono infoKnowledge Grid Technology used insteadyesyesyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnononoyesyes infoJava
Triggersnononoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesrights management via user accountsRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud Table StoreInfobrightJaguarDBOrigoDBSplice Machine
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