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DBMS > EventStoreDB vs. Hyprcubd vs. Kinetica

System Properties Comparison EventStoreDB vs. Hyprcubd vs. Kinetica

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonKinetica  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Serverless Time Series DBMSFully vectorized database across both GPUs and CPUs
Primary database modelEvent StoreTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitewww.eventstore.comhyprcubd.com (offline)www.kinetica.com
Technical documentationdevelopers.eventstore.comdocs.kinetica.com
DeveloperEvent Store LimitedHyprcubd, Inc.Kinetica
Initial release20122012
Current release21.2, February 20217.1, August 2021
License infoCommercial or Open SourceOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++
Server operating systemsLinux
Windows
hostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsgRPC (https)JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
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 methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datanoyes
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controltoken accessAccess rights for users and roles on table level

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More resources
EventStoreDBHyprcubdKinetica
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