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DBMS > Apache Pinot vs. EventStoreDB vs. TigerGraph

System Properties Comparison Apache Pinot vs. EventStoreDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSEvent StoreGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitepinot.apache.orgwww.eventstore.comwww.tigergraph.com
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.comdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsEvent Store Limited
Initial release201520122017
Current release1.0.0, September 202321.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
SQL infoSupport of SQLSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsJDBCGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
C++
Java
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Foreign keys infoReferential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRole-based access control

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More resources
Apache PinotEventStoreDBTigerGraph
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