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DBMS > Elasticsearch vs. FoundationDB vs. GraphDB vs. Memgraph

System Properties Comparison Elasticsearch vs. FoundationDB vs. GraphDB vs. Memgraph

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFoundationDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMemgraph  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
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 metricOrdered key-value store. Core features are complimented by layers.Enterprise-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.An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelSearch engineDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­apple/­foundationdbwww.ontotext.commemgraph.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlapple.github.io/­foundationdbgraphdb.ontotext.com/­documentationmemgraph.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMediumLinkedInTwitterFacebookGitHubDiscord
DeveloperElasticFoundationDBOntotextMemgraph Ltd
Initial release2010201320002017
Current release8.6, January 20236.2.28, November 202010.4, October 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoBSL 1.1; commercial license for enterprise edition available
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.
Implementation languageJavaC++JavaC and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free infosome layers support schemasschema-free and OWL/RDFS-schema support; RDF shapesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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 indexednoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlystored 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
Bolt protocol
Cypher query language
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesin SQL-layer onlywell-defined plugin interfaces; JavaScript server-side extensibility
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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, allLinearizable consistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyes infoConstraint checkingyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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 controlnoDefault 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.Users, roles and permissions
More information provided by the system vendor
ElasticsearchFoundationDBGraphDB infoformer name: OWLIMMemgraph
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
You can check out our pricing model and licenses on the company website .
» more
News

Case study: Policy Enforcement Automation With Semantics
2 May 2024

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26 April 2024

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19 April 2024

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10 April 2024

Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI
3 April 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchFoundationDBGraphDB infoformer name: OWLIMMemgraph
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