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DBMS > Elasticsearch vs. GraphDB vs. TinkerGraph

System Properties Comparison Elasticsearch vs. GraphDB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engine
Vector DBMS
Graph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.81
Rank#9  Overall
#1  Search engines
#1  Vector DBMS
Score2.59
Rank#96  Overall
#7  Graph DBMS
#3  RDF stores
Score0.05
Rank#356  Overall
#37  Graph DBMS
Websitewww.elastic.co/­elasticsearchwww.ontotext.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgraphdb.ontotext.com/­documentation
DeveloperElasticOntotext
Initial release201020002009
Current release8.6, January 202310.4, October 2023
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java VM
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and OWL/RDFS-schema support; RDF shapesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes infoAll search fields are automatically indexedyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLSQL-like query languagestored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsJava API
RESTful HTTP/JSON API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
TinkerPop 3
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Groovy
Java
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integritynoyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.no

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More resources
ElasticsearchGraphDB infoformer name: OWLIMTinkerGraph
DB-Engines blog posts

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2 March 2016, Paul Andlinger

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Recent citations in the news

GitHub releases Vulcanizer, a new Golang Library for operating Elasticsearch
17 May 2025, Packt

OpenSearch in 2025: Much more than an Elasticsearch fork
28 April 2025, InfoWorld

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, Amazon Web Services

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, devclass

Elasticsearch Now Available as a Native Grounding Engine on Google Cloud’s Vertex AI Platform
9 April 2025, Business Wire

provided by Google News

Semantic Web Company and Ontotext merge to form Graphwise
23 October 2024, Blocks and Files

Semantic Web Company and Ontotext Merge to Create Knowledge Graph and AI Powerhouse Graphwise
23 October 2024, PR Newswire

Semantic Knowledge Graphing Market to Reach USD 5.07 Billion by 2032, Driven by AI Adoption, Contextual Data Analytics, and Industry-Wide Digital Transformation | SNS Insider
17 April 2025, GlobeNewswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
18 December 2019, KDnuggets

A Content Management Platform and a Graph Database Come Together in the New Company: Graphwise
28 October 2024, TheRecursive.com

provided by Google News

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, Amazon Web Services

Automated testing of Amazon Neptune data access with Apache TinkerPop Gremlin
28 September 2022, Amazon Web Services

Figure 6: Performance of Dijkstra's algorithm in Property Graph...
7 February 2018, ResearchGate

Exploring new features of Apache TinkerPop 3.7.x in Amazon Neptune
7 June 2024, Amazon Web Services

Introducing Gremlin query hints for Amazon Neptune
26 February 2019, Amazon Web Services

provided by Google News



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