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DBMS > Kdb vs. openGemini vs. OrientDB vs. Splice Machine

System Properties Comparison Kdb vs. openGemini vs. OrientDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonopenGemini  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh performance Time Series DBMSAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMS
Vector DBMS
Time Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score3.02
Rank#88  Overall
#16  Document stores
#6  Graph DBMS
#12  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitekx.comwww.opengemini.org
github.com/­openGemini
orientdb.orgsplicemachine.com
Technical documentationcode.kx.comdocs.opengemini.org/­guidewww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperKx Systems, a division of First Derivatives plcHuawei and openGemini communityOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release2000 infokdb was released 2000, kdb+ in 2003202220102014
Current release3.6, May 20181.1, July 20233.2.29, March 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
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 languageqGoJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyesyes
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 indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)SQL-like query languageSQL-like query language, no joinsyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP RESTTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava, Javascriptyes infoJava
Triggersyes infowith viewsnoHooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnono infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlrights management via user accountsAdministrators and common users accountsAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
KdbopenGeminiOrientDBSplice Machine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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KdbopenGeminiOrientDBSplice Machine
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