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DBMS > Kinetica vs. Milvus vs. TerarkDB

System Properties Comparison Kinetica vs. Milvus vs. TerarkDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMilvus  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searchesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSMultivalue DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#204  Overall
#100  Relational DBMS
Score0.28
Rank#271  Overall
#11  Multivalue DBMS
Score0.02
Rank#341  Overall
#53  Key-value stores
Websitewww.kinetica.commilvus.iogithub.com/­Terark/­terarkdb
Technical documentationwww.kinetica.com/­docsmilvus.io/­docs/­overview.mdgithub.com/­Terark/­terarkdb/­wiki
DeveloperKineticaTerark
Initial release201220192016
Current release7.1, August 20211.0, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemsLinuxLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyno
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelnono
More information provided by the system vendor
KineticaMilvusTerarkDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
KineticaMilvusTerarkDB
Recent citations in the news

GPU Database Market 2025: Strong Sales Outlook Ahead | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox – Puck77
22 October 2021, Puck77

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

GPU Database Market 2021-2028: Major Trends and Key Developments | Kinetica, Omnisci, Sqream, Neo4j – Puck77
22 October 2021, Puck77

Kinetica Vectorized Database Available on Microsoft Azure as a Cloud Service
22 October 2021, Integration Developers

“Global GPU Database Market SWOT Analysis 2021 by Top Manufacturers: Kinetica , Omnisci , Sqream , Neo4j , Nvidia , Brytlyt , Jedox , Blazegraph , Blazingdb , Zilliz , Heterodb , H2o.Ai , Fastdata.Io , Fuzzy Logix , Graphistry , Anaconda , etc….” – Puck77
21 October 2021, Puck77

provided by Google News

What Is Vector Similarity Search? | Business Applications of Vector Search
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Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
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