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DBMS > AgensGraph vs. GeoMesa vs. NSDb vs. Weaviate

System Properties Comparison AgensGraph vs. GeoMesa vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
Relational DBMS
Spatial DBMSTime Series 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
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitebitnine.net/­agensgraphwww.geomesa.orgnsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationbitnine.net/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperBitnine Global Inc.CCRi and othersWeaviate B.V.
Initial release2016201420172019
Current release2.1, December 20184.0.5, February 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache License 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.
Implementation languageCScalaJava, ScalaGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
Data schemedepending on used data modelyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, 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.nononono
Secondary indexesyesyesall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsCypher Query Language
JDBC
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layeryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AgensGraphGeoMesaNSDbWeaviate
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...
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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
AgensGraphGeoMesaNSDbWeaviate
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