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DBMS > EventStoreDB vs. InterSystems Caché vs. Kinetica vs. NSDb

System Properties Comparison EventStoreDB vs. InterSystems Caché vs. Kinetica vs. NSDb

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.A multi-model DBMS and application serverFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelEvent StoreKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitewww.eventstore.comwww.intersystems.com/­products/­cachewww.kinetica.comnsdb.io
Technical documentationdevelopers.eventstore.comdocs.intersystems.comdocs.kinetica.comnsdb.io/­Architecture
DeveloperEvent Store LimitedInterSystemsKinetica
Initial release2012199720122017
Current release21.2, February 20212018.1.4, May 20207.1, August 2021
License infoCommercial or Open SourceOpen SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, Scala
Server operating systemsLinux
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemedepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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.yesnono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
C++
Java
C++
Java
JavaScript (Node.js)
Python
Java
Scala
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles on table level

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More resources
EventStoreDBInterSystems CachéKineticaNSDb
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