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DBMS > Citus vs. ITTIA vs. RethinkDB vs. Teradata Aster

System Properties Comparison Citus vs. ITTIA vs. RethinkDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonITTIA  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLEdge Time Series DBMS with Real-Time Stream ProcessingDBMS for the Web with a mechanism to push updated query results to applications in realtime.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.citusdata.comwww.ittia.comrethinkdb.com
Technical documentationdocs.citusdata.comrethinkdb.com/­docs
DeveloperITTIA L.L.C.The Linux Foundation infosince July 2017Teradata
Initial release2010200720092005
Current release8.1, December 20188.72.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows
Linux
Data schemeyesFixed schemaschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalyes infostring, binary, float, bool, date, geometryyes
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 functionalitynonoyes infoin Aster File Store
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesnoyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
JavaScript (Node.js)
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesR packages
TriggersyesnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardDatabase file passwordsyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
CitusITTIARethinkDBTeradata Aster
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