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

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

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBlazegraph  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTDengine  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.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.A high performance, scalable Wide Column DBMSTime Series DBMS and big data platform
Primary database modelRelational DBMSGraph DBMS
RDF store
Document storeWide column storeTime Series DBMS
Secondary database modelsTime Series DBMSRelational 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
Score0.60
Rank#246  Overall
#39  Document stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitepinot.apache.orgblazegraph.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.pinot.apache.orgwiki.blazegraph.comdocs.percona.com/­percona-distribution-for-mongodbdocs.tdengine.com
DeveloperApache Software Foundation and contributorsBlazegraphPerconaAlex KashirinTDEngine, previously Taos Data
Initial release20152006201520202019
Current release1.0.0, September 20232.1.5, March 20193.4.10-2.10, November 20170.5, April 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoGPL Version 2Open Source infoGPL V3Open Source infoAGPL V3, also commercial editions available
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
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languagenoSQL-like query languageStandard SQL with extensions for time-series applications
APIs and other access methodsJDBCJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
proprietary protocol using JSONProprietary protocol
Thrift
JDBC
RESTful HTTP API
Supported programming languagesGo
Java
Python
.Net
C
C++
Java
JavaScript
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++C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesJavaScriptnono
Triggersnononoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yes infovia In-Memory Engineno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users and rolesyes
More information provided by the system vendor
Apache PinotBlazegraphPercona Server for MongoDBSWC-DB infoSuper Wide Column DatabaseTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Apache PinotBlazegraphPercona Server for MongoDBSWC-DB infoSuper Wide Column DatabaseTDengine
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