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DBMS > Apache Phoenix vs. GraphDB vs. GridGain vs. SWC-DB

System Properties Comparison Apache Phoenix vs. GraphDB vs. GridGain vs. SWC-DB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-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.GridGain is an in-memory computing platform, built on Apache IgniteA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Relational DBMS
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitephoenix.apache.orgwww.ontotext.comwww.gridgain.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationphoenix.apache.orggraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperApache Software FoundationOntotextGridGain Systems, Inc.Alex Kashirin
Initial release2014200020072020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.4, October 2023GridGain 8.5.10.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .NetC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-free and OWL/RDFS-schema support; RDF shapesyesschema-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.nonoyesno
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLSQL-like query language
APIs and other access methodsJDBCGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Server-side scripts infoStored proceduresuser defined functionswell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyDefault 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.Security Hooks for custom implementations
More information provided by the system vendor
Apache PhoenixGraphDB infoformer name: OWLIMGridGainSWC-DB infoSuper Wide Column Database
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
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