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DBMS > IBM Db2 warehouse vs. Kdb vs. Milvus vs. UniData,UniVerse

System Properties Comparison IBM Db2 warehouse vs. Kdb vs. Milvus vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonKdb  Xexclude from comparisonMilvus  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionCloud-based data warehousing serviceHigh performance Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Vector DBMSMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitewww.ibm.com/­products/­db2/­warehousekx.commilvus.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationcode.kx.commilvus.io/­docs/­overview.mddocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperIBMKx Systems, a division of First Derivatives plcRocket Software
Initial release20142000 infokdb was released 2000, kdb+ in 200320191985
Current release3.6, May 20182.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageqC++, GoC
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringoptional
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.no infoImport/export of XML data possibleyesno
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLyesSQL-like query language (q)noyes
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresPL/SQL, SQL PLuser defined functionsnoyes
Triggersyesyes infowith viewsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlfine grained access rights according to SQL-standardrights management via user accountsRole based access control and fine grained access rightsAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBKdbMilvusUniData,UniVerse
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsupon request
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBKdbMilvusUniData,UniVerse
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