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DBMS > Kinetica vs. Milvus vs. SQream DB vs. TiDB

System Properties Comparison Kinetica vs. Milvus vs. SQream DB vs. TiDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMilvus  Xexclude from comparisonSQream DB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searchesa GPU-based, columnar RDBMS for big data analytics workloadsTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelRelational DBMSVector DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score4.09
Rank#72  Overall
#38  Relational DBMS
Websitewww.kinetica.commilvus.iosqream.compingcap.com
Technical documentationdocs.kinetica.commilvus.io/­docs/­overview.mddocs.sqream.comdocs.pingcap.com/­tidb/­stable
DeveloperKineticaSQream TechnologiesPingCAP, Inc.
Initial release2012201920172016
Current release7.1, August 20212.4.4, May 20242022.1.6, December 20228.2.0, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
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 MilvusTiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageC, C++C++, GoC++, CUDA, Haskell, Java, ScalaGo, Rust
Server operating systemsLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes, ANSI Standard SQL Typesyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API.Net
JDBC
ODBC
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions in Pythonno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal and vertical partitioninghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights for users and roles on table levelRole based access control and fine grained access rightsFine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMilvusSQream DBTiDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
TiDB is ideal for transactional applications that require extreme scalability and...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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More resources
KineticaMilvusSQream DBTiDB
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