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DBMS > Blazegraph vs. GridGain vs. Ignite vs. OrientDB

System Properties Comparison Blazegraph vs. GridGain vs. Ignite vs. OrientDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonOrientDB  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.GridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Key-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteblazegraph.comwww.gridgain.comignite.apache.orgorientdb.org
Technical documentationwiki.blazegraph.comwww.gridgain.com/­docs/­index.htmlapacheignite.readme.io/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperBlazegraphGridGain Systems, Inc.Apache Software FoundationOrientDB LTD; CallidusCloud; SAP
Initial release2006200720152010
Current release2.1.5, March 2019GridGain 8.5.1Apache Ignite 2.63.2.29, March 2024
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++, Java, .NetJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joins
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
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)Java, Javascript
Triggersnoyes (cache interceptors and events)yes (cache interceptors and events)Hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)yes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)no infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes inforelationship 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 implementationsSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurable

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More resources
BlazegraphGridGainIgniteOrientDB
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