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DBMS > Blazegraph vs. LeanXcale vs. Solr vs. Weaviate

System Properties Comparison Blazegraph vs. LeanXcale vs. Solr vs. Weaviate

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonLeanXcale  Xexclude from comparisonSolr  Xexclude from comparisonWeaviate  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA widely used distributed, scalable search engine based on Apache LuceneAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Search engineVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteblazegraph.comwww.leanxcale.comsolr.apache.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwiki.blazegraph.comsolr.apache.org/­resources.htmlweaviate.io/­developers/­weaviate
DeveloperBlazegraphLeanXcaleApache Software FoundationWeaviate B.V.
Initial release2006201520062019
Current release2.1.5, March 20199.6.0, April 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialOpen Source infoApache Version 2Open 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.
Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infoRDF literal typesyes infosupports customizable data types and automatic typingyes 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.yesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSPARQL is used as query languageyes infothrough Apache DerbySolr Parallel SQL InterfaceGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Java API
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
Java
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)yesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
BlazegraphLeanXcaleSolrWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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BlazegraphLeanXcaleSolrWeaviate
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