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DBMS > GeoMesa vs. NSDb vs. ObjectBox vs. Weaviate

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonNSDb  Xexclude from comparisonObjectBox  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGeoMesa 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 KubernetesExtremely fast embedded database for small devices, IoT and MobileAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSpatial DBMSTime Series DBMSObject oriented DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.geomesa.orgnsdb.ioobjectbox.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architecturedocs.objectbox.ioweaviate.io/­developers/­weaviate
DeveloperCCRi and othersObjectBox LimitedWeaviate B.V.
Initial release2014201720172019
Current release4.0.5, February 20241.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache License 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 languageScalaJava, ScalaC and C++Go
Server operating systemsLinux
macOS
Android
iOS
Linux
macOS
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes 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 indexesyesall fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsgRPC
HTTP REST
WebSocket
Proprietary native APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeronline/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GeoMesaNSDbObjectBoxWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GeoMesaNSDbObjectBoxWeaviate
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