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DBMS > Kdb vs. Milvus vs. NSDb vs. OpenQM

System Properties Comparison Kdb vs. Milvus vs. NSDb vs. OpenQM

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionHigh performance Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelTime Series DBMS
Vector DBMS
Vector DBMSTime Series DBMSMultivalue 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
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitekx.commilvus.ionsdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationcode.kx.commilvus.io/­docs/­overview.mdnsdb.io/­Architecture
DeveloperKx Systems, a division of First Derivatives plcRocket Software, originally Martin Phillips
Initial release2000 infokdb was released 2000, kdb+ in 2003201920171993
Current release3.6, May 20182.4.4, May 20243.4-12
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPLv2, extended 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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageqC++, GoJava, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyes infowith some exceptions
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes: int, bigint, decimal, string
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.yesnonoyes
Secondary indexesyes infotable attribute 'grouped'noall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (q)noSQL-like query languageno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlrights management via user accountsRole based access control and fine grained access rightsAccess rights can be defined down to the item level
More information provided by the system vendor
KdbMilvusNSDbOpenQM infoalso called QM
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...
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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
KdbMilvusNSDbOpenQM infoalso called QM
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