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DBMS > Apache Phoenix vs. BigObject vs. Citus vs. Ingres vs. ITTIA

System Properties Comparison Apache Phoenix vs. BigObject vs. Citus vs. Ingres vs. ITTIA

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigObject  Xexclude from comparisonCitus  Xexclude from comparisonIngres  Xexclude from comparisonITTIA  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for real-time computations and queriesScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLWell established RDBMSEdge Time Series DBMS with Real-Time Stream Processing
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Websitephoenix.apache.orgbigobject.iowww.citusdata.comwww.actian.com/­databases/­ingreswww.ittia.com
Technical documentationphoenix.apache.orgdocs.bigobject.iodocs.citusdata.comdocs.actian.com/­ingres
DeveloperApache Software FoundationBigObject, Inc.Actian CorporationITTIA L.L.C.
Initial release2014201520101974 infooriginally developed at University Berkely in early 1970s2007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 201811.2, May 20228.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoAGPL, commercial license also availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCC and C++
Server operating systemsLinux
Unix
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Interval
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.nonoyes infospecific XML type available, but no XML query functionalityno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infostandard, with numerous extensionsyesyes
APIs and other access methodsJDBCfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication infoother methods possible by using 3rd party extensionsIngres Replicatoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes infoMVCCyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardDatabase file passwords

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More resources
Apache PhoenixBigObjectCitusIngresITTIA
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