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DBMS > BigObject vs. Kdb vs. Kinetica vs. OrigoDB vs. RavenDB

System Properties Comparison BigObject vs. Kdb vs. Kinetica vs. OrigoDB vs. RavenDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMS
Vector DBMS
Relational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitebigobject.iokx.comwww.kinetica.comorigodb.comravendb.net
Technical documentationdocs.bigobject.iocode.kx.comdocs.kinetica.comorigodb.com/­docsravendb.net/­docs
DeveloperBigObject, Inc.Kx Systems, a division of First Derivatives plcKineticaRobert Friberg et alHibernating Rhinos
Initial release20152000 infokdb was released 2000, kdb+ in 200320122009 infounder the name LiveDB2010
Current release3.6, May 20187.1, August 20215.4, July 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree 32-bit versioncommercialOpen SourceOpen Source infoAGPL version 3, commercial license available
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 languageqC, C++C#C#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Solaris
Windows
LinuxLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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.noyesnono infocan be achieved using .NET
Secondary indexesyesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)SQL-like DML and DDL statementsnoSQL-like query language (RQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuauser defined functionsuser defined functionsyesyes
Triggersnoyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnorights management via user accountsAccess rights for users and roles on table levelRole based authorizationAuthorization levels configured per client per database
More information provided by the system vendor
BigObjectKdbKineticaOrigoDBRavenDB
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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More resources
BigObjectKdbKineticaOrigoDBRavenDB
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