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DBMS > Blazegraph vs. Ignite vs. OushuDB vs. Stardog

System Properties Comparison Blazegraph vs. Ignite vs. OushuDB vs. Stardog

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonIgnite  Xexclude from comparisonOushuDB  Xexclude from comparisonStardog  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteblazegraph.comignite.apache.orgwww.oushu.com/­product/­oushuDBwww.stardog.com
Technical documentationwiki.blazegraph.comapacheignite.readme.io/­docswww.oushu.com/­documentationdocs.stardog.com
DeveloperBlazegraphApache Software FoundationOushuStardog-Union
Initial release200620152010
Current release2.1.5, March 2019Apache Ignite 2.64.0.1, August 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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.yesno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLFull-featured ANSI SQL supportYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes (cache interceptors and events)yesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyes infoRelationships in Graphsnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Security Hooks for custom implementationsKerberos, SSL and role based accessAccess rights for users and roles

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More resources
BlazegraphIgniteOushuDBStardog
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19 August 2023, MarkTechPost

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Harnessing GPUs Delivers a Big Speedup for Graph Analytics
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