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DBMS > Milvus vs. TempoIQ vs. Weaviate

System Properties Comparison Milvus vs. TempoIQ vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonTempoIQ infoformerly TempoDB  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)A cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelSearch engineTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#253  Overall
#17  Search engines
Score0.31
Rank#292  Overall
#20  Search engines
Websitemilvus.iotempoiq.com (offline)github.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mdweaviate.io/­developers/­weaviate/­current
DeveloperTempoIQSeMI Technologies B.V.
Initial release201920122017
Current release2.0, January 20221.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, GoGo
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateNumeric and Stringyesyes 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 indexesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIHTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynonono
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.nonono
User concepts infoAccess controlnosimple authentication-based access controlOpenID Connect Discovery
More information provided by the system vendor
MilvusTempoIQ infoformerly TempoDBWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
As a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
A ll companies that have data. ​
» more
Market metricsAs of March 2022, 9.8k+ GitHub stars 1.4k+ Github forks 871k+ docker pulls 2k+ community...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Managed...
» more
Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MilvusTempoIQ infoformerly TempoDBWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Zilliz Vector Database Research Featured at VLDB 2022
30 September 2022, Datanami

Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022
19 September 2022, insideBIGDATA

Zilliz, the startup behind the Milvus open source vector database for AI apps, raises $60M, relocates to SF
24 August 2022, TechCrunch

Frank Liu, Director of Operations at Zilliz - Interview Series
9 September 2022, Unite.AI

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
3 August 2022, Business Wire

provided by Google News

Amsterdam-based startup SeMI Technologies raises €14.1M for its open-source vector search engine Weaviate
23 February 2022, Silicon Canals

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

SeMI Technologies introduces an all-new business model for vector search
1 September 2022, Yahoo Finance

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

provided by Google News

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