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DBMS > GeoMesa vs. IRONdb vs. NSDb vs. Weaviate

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

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonIRONdb  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, 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 modelSpatial DBMSTime Series DBMSTime Series DBMSVector 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
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.geomesa.orgwww.circonus.com/solutions/time-series-database/nsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.circonus.com/irondb/category/getting-startednsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperCCRi and othersCirconus LLC.Weaviate B.V.
Initial release2014201720172019
Current release4.0.5, February 2024V0.10.20, January 20181.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen 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 languageScalaC and C++Java, ScalaGo
Server operating systemsLinuxLinux
macOS
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes: 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 indexesyesnoall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageGraphQL is used as query language
APIs and other access methodsHTTP APIgRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes, in Luanono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerAutomatic, metric affinity per nodeShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency per node, eventual consistency across nodesEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.depending on storage layernoyes
User concepts infoAccess controlyes infodepending on the DBMS used for storagenoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GeoMesaIRONdbNSDbWeaviate
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...
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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. ​
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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
GeoMesaIRONdbNSDbWeaviate
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