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DBMS > Databricks vs. Stardog vs. TinkerGraph vs. Weaviate

System Properties Comparison Databricks vs. Stardog vs. TinkerGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score0.08
Rank#345  Overall
#34  Graph DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.databricks.comwww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlingithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.databricks.comdocs.stardog.comweaviate.io/­developers/­weaviate
DeveloperDatabricksStardog-UnionWeaviate B.V.
Initial release2013201020092019
Current release7.3.0, May 20201.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemshostedLinux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema supportschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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 infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLwith Databricks SQLYes, compatible with all major SQL variants through dedicated BI/SQL ServernoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions and aggregates, HTTP Server extensions in Javanono
Triggersyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-Clusternoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusternoneEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatabricksStardogTinkerGraphWeaviate
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Weaviate 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...
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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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More resources
DatabricksStardogTinkerGraphWeaviate
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