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DBMS > AgensGraph vs. EXASOL vs. Spark SQL vs. Weaviate

System Properties Comparison AgensGraph vs. EXASOL vs. Spark SQL vs. Weaviate

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEXASOL  Xexclude from comparisonSpark SQL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spark SQL is a component on top of 'Spark Core' for structured data processingAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitebitnine.net/­agensgraphwww.exasol.comspark.apache.org/­sqlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationbitnine.net/­documentationwww.exasol.com/­resourcesspark.apache.org/­docs/­latest/­sql-programming-guide.htmlweaviate.io/­developers/­weaviate
DeveloperBitnine Global Inc.ExasolApache Software FoundationWeaviate B.V.
Initial release2016200020142019
Current release2.1, December 20183.5.0 ( 2.13), September 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 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.
Implementation languageCScalaGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsGraphQL is used as query language
APIs and other access methodsCypher Query Language
JDBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Java
Lua
Python
R
Java
Python
R
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AgensGraphEXASOLSpark SQLWeaviate
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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More resources
AgensGraphEXASOLSpark SQLWeaviate
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2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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