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DBMS > Citus vs. GridGain vs. Kinetica vs. Microsoft Access vs. SiriDB

System Properties Comparison Citus vs. GridGain vs. Kinetica vs. Microsoft Access vs. SiriDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGridGain  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGridGain is an in-memory computing platform, built on Apache IgniteFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open Source Time Series DBMS
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.citusdata.comwww.gridgain.comwww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.com
Technical documentationdocs.citusdata.comwww.gridgain.com/­docs/­index.htmldocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperGridGain Systems, Inc.KineticaMicrosoftCesbit
Initial release20102007201219922017
Current release8.1, December 2018GridGain 8.5.17.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial, open sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .Net, Python, REST, SQLC, C++C++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
LinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoNumeric data
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 functionalityyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes (compute grid and cache interceptors can be used instead)user defined functionsyes infosince Access 2010 using the ACE-engineno
Triggersyesyes (cache interceptors and events)yes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)Source-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
Access rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003simple rights management via user accounts

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More resources
CitusGridGainKineticaMicrosoft AccessSiriDB
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