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DBMS > Milvus vs. Oracle Berkeley DB vs. Weaviate

System Properties Comparison Milvus vs. Oracle Berkeley DB vs. Weaviate

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesWidely used in-process key-value storeA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#250  Overall
#17  Search engines
Score2.98
Rank#106  Overall
#19  Key-value stores
#3  Native XML DBMS
Score0.16
Rank#300  Overall
#20  Search engines
Websitemilvus.iowww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlgithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmlweaviate.io/­developers/­weaviate/­current
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleSeMI Technologies B.V.
Initial release201919942017
Current release2.0, January 202218.1.40, May 20201.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen 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 languageC++, GoC, Java, C++ (depending on the Berkeley DB edition)Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateNumeric and Stringnoyes 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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
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 datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.noyesno
User concepts infoAccess controlnonoOpenID Connect Discovery
More information provided by the system vendor
MilvusOracle Berkeley DBWeaviate
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
MilvusOracle Berkeley DBWeaviate
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

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1 September 2022, PR Newswire UK

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