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DBMS > EventStoreDB vs. Kinetica vs. TigerGraph

System Properties Comparison EventStoreDB vs. Kinetica vs. TigerGraph

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonKinetica  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Fully vectorized database across both GPUs and CPUsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelEvent StoreRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.eventstore.comwww.kinetica.comwww.tigergraph.com
Technical documentationdevelopers.eventstore.comdocs.kinetica.comdocs.tigergraph.com
DeveloperEvent Store LimitedKinetica
Initial release201220122017
Current release21.2, February 20217.1, August 2021
License infoCommercial or Open SourceOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++
Server operating systemsLinux
Windows
LinuxLinux
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.nono
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control

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More resources
EventStoreDBKineticaTigerGraph
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