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DBMS > JanusGraph vs. Kinetica vs. OpenTSDB vs. Oracle Rdb vs. PostgreSQL

System Properties Comparison JanusGraph vs. Kinetica vs. OpenTSDB vs. Oracle Rdb vs. PostgreSQL

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonOpenTSDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsScalable Time Series DBMS based on HBaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitejanusgraph.orgwww.kinetica.comopentsdb.netwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.postgresql.org
Technical documentationdocs.janusgraph.orgdocs.kinetica.comopentsdb.net/­docs/­build/­html/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.postgresql.org/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusKineticacurrently maintained by Yahoo and other contributorsOracle, originally developed by Digital Equipment Corporation (DEC)PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20172012201119841989 info1989: Postgres, 1996: PostgreSQL
Current release0.6.3, February 20237.1, August 20217.4.1.1, 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoLGPLcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC
Server operating systemsLinux
OS X
Unix
Windows
LinuxLinux
Windows
HP Open VMSFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes infostandard with numerous extensions
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding infobased on HBasepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationselectable replication factor infobased on HBaseSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBaseImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnonono
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelnofine grained access rights according to SQL-standard

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