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DBMS > GigaSpaces vs. GraphDB vs. RisingWave

System Properties Comparison GigaSpaces vs. GraphDB vs. RisingWave

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEnterprise-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 distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.gigaspaces.comwww.ontotext.comwww.risingwave.com/­database
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgraphdb.ontotext.com/­documentationdocs.risingwave.com/­docs/­current/­intro
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperGigaspaces TechnologiesOntotextRisingWave Labs
Initial release200020002022
Current release15.5, September 202010.4, October 20231.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaRust
Server operating systemsLinux
macOS
Solaris
Windows
All OS with a Java VM
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityUDFs in Python or Java
Triggersyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access 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.Users and Roles
More information provided by the system vendor
GigaSpacesGraphDB infoformer name: OWLIMRisingWave
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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More resources
GigaSpacesGraphDB infoformer name: OWLIMRisingWave
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