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DBMS > GridGain vs. Milvus vs. Weaviate

System Properties Comparison GridGain vs. Milvus vs. Weaviate

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMilvus  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA DBMS designed for efficient storage of vector data and vector similarity searchesA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelKey-value store
Relational DBMS
Search engineSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#124  Overall
#25  Key-value stores
#61  Relational DBMS
Score0.55
Rank#253  Overall
#17  Search engines
Score0.31
Rank#292  Overall
#20  Search engines
Websitewww.gridgain.commilvus.iogithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationwww.gridgain.com/­docs/­latestmilvus.io/­docs/­overview.mdweaviate.io/­developers/­weaviate/­current
DeveloperGridGain Systems, Inc.SeMI Technologies B.V.
Initial release200720192017
Current releaseGridGain 8.5.12.0, January 20221.0.3, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
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 languageJava, C++, .NetC++, GoGo
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesNumeric and Stringyes 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.yesnono
Secondary indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoGraphQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded 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 dataACIDnono
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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoOpenID Connect Discovery
More information provided by the system vendor
GridGainMilvusWeaviate
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
GridGainMilvusWeaviate
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

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 2022, GlobeNewswire

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

GridGain Appoints Eoin O'Connor as New President and CEO
2 August 2022, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

GridGain Expands SaaS Portfolio, Makes GridGain Nebula Available to All Apache Ignite Users
28 October 2021, GlobeNewswire

provided by Google 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

Job opportunities

Regional Vice President of Sales - North America
GridGain Systems, Chicago, IL

Technical Product Manager
GridGain Systems, Pittsburgh, PA

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GridGain Systems, Pittsburgh, PA

Senior Consultant - (USA/Remote)
GridGain Systems, Chicago, IL

Director of Partners/Channels
GridGain Systems, Chicago, IL

Developer Advocate
Zilliz, San Francisco, CA

Head of Developer Relations
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