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DBMS > Blazegraph vs. Milvus vs. Weaviate vs. XTDB

System Properties Comparison Blazegraph vs. Milvus vs. Weaviate vs. XTDB

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonMilvus  Xexclude from comparisonWeaviate  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A DBMS designed for efficient storage of vector data and vector similarity searchesAn AI-native realtime vector database engine that integrates scalable machine learning models.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Vector DBMSVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteblazegraph.commilvus.iogithub.com/­weaviate/­weaviate
weaviate.io
github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwiki.blazegraph.commilvus.io/­docs/­overview.mdweaviate.io/­developers/­weaviatewww.xtdb.com/­docs
DeveloperBlazegraphWeaviate B.V.Juxt Ltd.
Initial release2006201920192019
Current release2.1.5, March 20192.3.4, January 20241.19, May 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache Version 2.0Open Source infocommercial license available with Weaviate EnterpriseOpen Source infoMIT License
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 languageJavaC++, GoGoClojure
Server operating systemsLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyes infoRDF literal typesVector, Numeric and Stringyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes, extensible-data-notation format
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 indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoGraphQL is used as query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Clojure
Java
Server-side scripts infoStored proceduresyesnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role based access control and fine grained access rightsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BlazegraphMilvusWeaviateXTDB infoformerly named Crux
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...
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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,...
» 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
BlazegraphMilvusWeaviateXTDB infoformerly named Crux
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