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DBMS > Ingres vs. JanusGraph vs. Milvus vs. Weaviate

System Properties Comparison Ingres vs. JanusGraph vs. Milvus vs. Weaviate

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMilvus  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionWell established RDBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A DBMS designed for efficient storage of vector data and vector similarity searchesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSGraph DBMSVector DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.actian.com/­databases/­ingresjanusgraph.orgmilvus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.actian.com/­ingresdocs.janusgraph.orgmilvus.io/­docs/­overview.mdweaviate.io/­developers/­weaviate
DeveloperActian CorporationLinux Foundation; originally developed as Titan by AureliusWeaviate B.V.
Initial release1974 infooriginally developed at University Berkely in early 1970s201720192019
Current release11.2, May 20220.6.3, February 20232.3.4, January 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open 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 languageCJavaC++, GoGo
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesVector, Numeric 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.no infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnonoGraphQL is used as query language
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rightsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
IngresJanusGraph infosuccessor of TitanMilvusWeaviate
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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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...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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All companies that have data. ​
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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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...
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More resources
IngresJanusGraph infosuccessor of TitanMilvusWeaviate
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