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DBMS > Dgraph vs. Elasticsearch vs. Stardog vs. TimescaleDB

System Properties Comparison Dgraph vs. Elasticsearch vs. Stardog vs. TimescaleDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA 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 Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMSSearch engineGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitedgraph.iowww.elastic.co/­elasticsearchwww.stardog.comwww.timescale.com
Technical documentationdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.stardog.comdocs.timescale.com
DeveloperDgraph Labs, Inc.ElasticStardog-UnionTimescale
Initial release2016201020102017
Current release8.6, January 20237.3.0, May 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic Licensecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and OWL/RDFS-schema supportyes
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.nonono infoImport/export of XML data possibleyes
Secondary indexesyesyes infoAll search fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infofull PostgreSQL SQL syntax
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions and aggregates, HTTP Server extensions in Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoby using the 'percolation' featureyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesMulti-source replication in HA-ClusterSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.Memcached and Redis integrationyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
DgraphElasticsearchStardogTimescaleDB
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