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

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

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMS
Vector DBMS
Document store
Graph DBMS
Key-value store
Relational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitekx.comorientdb.orgsplicemachine.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcode.kx.comwww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperKx Systems, a division of First Derivatives plcOrientDB LTD; CallidusCloud; SAPSplice MachineYandex
Initial release2000 infokdb was released 2000, kdb+ in 2003201020142019
Current release3.6, May 20183.2.29, March 20243.1, March 2021
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0; 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 languageqJavaJava
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 language, no joinsyesSQL-like query language (YQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJava, Javascriptyes infoJavano
Triggersyes infowith viewsHooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingno infocould be achieved with distributed queriesYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesno
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users
More information provided by the system vendor
KdbOrientDBSplice MachineYDB
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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KdbOrientDBSplice MachineYDB
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