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DBMS > Kinetica vs. RavenDB vs. Splice Machine vs. SQL.JS vs. Transbase

System Properties Comparison Kinetica vs. RavenDB vs. Splice Machine vs. SQL.JS vs. Transbase

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRavenDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScriptA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.kinetica.comravendb.netsplicemachine.comsql.js.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.kinetica.comravendb.net/­docssplicemachine.com/­how-it-workssql.js.org/­documentation/­index.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperKineticaHibernating RhinosSplice MachineAlon Zakai infoenhancements implemented by othersTransaction Software GmbH
Initial release20122010201420121987
Current release7.1, August 20215.4, July 20223.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, commercial license availableOpen Sourcecommercial infofree development license
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 languageC, C++C#JavaJavaScriptC and C++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (RQL)yesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
JavaScript APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScriptC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes infoJavanoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesno
User concepts infoAccess controlAccess rights for users and roles on table levelAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
KineticaRavenDBSplice MachineSQL.JSTransbase
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