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DBMS > Apache Pinot vs. Blazegraph vs. GridDB vs. Percona Server for MongoDB vs. SWC-DB

System Properties Comparison Apache Pinot vs. Blazegraph vs. GridDB vs. Percona Server for MongoDB vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonGridDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Scalable in-memory time series database optimized for IoT and Big DataA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSDocument storeWide column store
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitepinot.apache.orgblazegraph.comgriddb.netwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.pinot.apache.orgwiki.blazegraph.comdocs.griddb.netdocs.percona.com/­percona-distribution-for-mongodb
DeveloperApache Software Foundation and contributorsBlazegraphToshiba CorporationPerconaAlex Kashirin
Initial release20152006201320152020
Current release1.0.0, September 20232.1.5, March 20195.1, August 20223.4.10-2.10, November 20170.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C++C++
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows
LinuxLinuxLinux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageSQL92, SQL-like TQL (Toshiba Query Language)noSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
proprietary protocol using JSONProprietary protocol
Thrift
Supported programming languagesGo
Java
Python
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++
Server-side scripts infoStored proceduresyesnoJavaScriptno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno
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 infovia In-Memory Engineno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per databaseAccess rights for users and roles
More information provided by the system vendor
Apache PinotBlazegraphGridDBPercona Server for MongoDBSWC-DB infoSuper Wide Column Database
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Apache PinotBlazegraphGridDBPercona Server for MongoDBSWC-DB infoSuper Wide Column Database
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