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DBMS > AllegroGraph vs. Kinetica vs. OpenSearch vs. TimescaleDB

System Properties Comparison AllegroGraph vs. Kinetica vs. OpenSearch vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKinetica  Xexclude from comparisonOpenSearch  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFully vectorized database across both GPUs and CPUsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websiteallegrograph.comwww.kinetica.comgithub.com/­opensearch-project
opensearch.org
www.timescale.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.kinetica.comopensearch.org/­docs/­latestdocs.timescale.com
DeveloperFranz Inc.KineticaAmazon Web ServicesTimescale
Initial release2004201220212017
Current release8.0, December 20237.1, August 20212.5.0, January 20232.15.0, May 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC, C++JavaC
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.no infobulk load of XML files possiblenoyes
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoby using the 'percolation' featureyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphKineticaOpenSearchTimescaleDB
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more
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AllegroGraphKineticaOpenSearchTimescaleDB
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