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DBMS > GraphDB vs. Heroic vs. PouchDB vs. searchxml

System Properties Comparison GraphDB vs. Heroic vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonHeroic  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionEnterprise-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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Time Series DBMSDocument storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.ontotext.comgithub.com/­spotify/­heroicpouchdb.comwww.searchxml.net/­category/­products
Technical documentationgraphdb.ontotext.com/­documentationspotify.github.io/­heroicpouchdb.com/­guideswww.searchxml.net/­support/­handouts
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextSpotifyApache Software Foundationinformationpartners gmbh
Initial release2000201420122015
Current release10.4, October 20237.1.1, June 20191.0
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0Open Sourcecommercial
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 languageJavaJavaJavaScriptC++
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes infovia Elasticsearchyes infovia viewsyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnonono
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynoView functions in JavaScriptyes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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.noDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
GraphDB infoformer name: OWLIMHeroicPouchDBsearchxml
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» 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
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 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
GraphDB infoformer name: OWLIMHeroicPouchDBsearchxml
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Recent citations in the news

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Ontotext's GraphDB 10 Brings Modern Data Architectures to the Mainstream with Better Resilience and Еаsier Operations
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