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DBMS > Blazegraph vs. GridGain vs. HBase vs. NuoDB

System Properties Comparison Blazegraph vs. GridGain vs. HBase vs. NuoDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonGridGain  Xexclude from comparisonHBase  Xexclude from comparisonNuoDB  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 IgniteWide-column store based on Apache Hadoop and on concepts of BigTableNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Wide column storeRelational DBMS
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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteblazegraph.comwww.gridgain.comhbase.apache.orgwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationwiki.blazegraph.comwww.gridgain.com/­docs/­index.htmlhbase.apache.org/­book.htmldoc.nuodb.com
DeveloperBlazegraphGridGain Systems, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetDassault Systèmes infooriginally NuoDB, Inc.
Initial release2006200720082013
Current release2.1.5, March 2019GridGain 8.5.12.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache version 2commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesoptions to bring your own types, AVROyes
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.yesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageANSI-99 for query and DML statements, subset of DDLnoyes
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
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)yes infoCoprocessors in JavaJava, SQL
Triggersnoyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication
Source-replica replication
yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.yesyesyes infoTemporary table
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Security Hooks for custom implementationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACStandard SQL roles/ privileges, Administrative Users

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BlazegraphGridGainHBaseNuoDB
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