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DBMS > Milvus vs. Oracle Berkeley DB vs. SWC-DB vs. Weaviate

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

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 high performance, scalable Wide Column DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelVector DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Wide column storeVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitemilvus.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationmilvus.io/­docs/­overview.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmlweaviate.io/­developers/­weaviate
DeveloperOracle infooriginally developed by Sleepycat, which was acquired by OracleAlex KashirinWeaviate B.V.
Initial release2019199420202019
Current release2.3.4, January 202418.1.40, May 20200.5, April 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoGPL V3Open Source infocommercial license available with Weaviate Enterprise
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 Milvus
Implementation languageC++, GoC, Java, C++ (depending on the Berkeley DB edition)C++Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateVector, Numeric 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 editionnono
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 availableSQL-like query languageGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIProprietary protocol
Thrift
GraphQL 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
C++JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
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
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesnoyes
User concepts infoAccess controlRole based access control and fine grained access rightsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MilvusOracle Berkeley DBSWC-DB infoSuper Wide Column DatabaseWeaviate
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....
» more
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
MilvusOracle Berkeley DBSWC-DB infoSuper Wide Column DatabaseWeaviate
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