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DBMS > Milvus vs. TempoIQ vs. Vitess vs. Weaviate

System Properties Comparison Milvus vs. TempoIQ vs. Vitess vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVitess  Xexclude from comparisonWeaviate  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable, distributed, cloud-native DBMS, extending MySQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitemilvus.iotempoiq.com (offline)vitess.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdvitess.io/­docsweaviate.io/­developers/­weaviate
DeveloperTempoIQThe Linux Foundation, PlanetScaleWeaviate B.V.
Initial release2019201220132019
Current release2.3.4, January 202415.0.2, December 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageC++, GoGoGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Data schemeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyes infowith proprietary extensionsGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIHTTP APIADO.NET
JDBC
MySQL protocol
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxno
Triggersnoyes infoRealtime Alertsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesnoyesyes
User concepts infoAccess controlRole based access control and fine grained access rightssimple authentication-based access controlUsers with fine-grained authorization concept infono user groups or rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvusTempoIQ infoformerly TempoDBVitessWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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As a database supporting the development of generative AI and semantic search applications...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
All companies that have data. ​
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
MilvusTempoIQ infoformerly TempoDBVitessWeaviate
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