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DBMS > GeoMesa vs. GridGain vs. Riak TS vs. Weaviate

System Properties Comparison GeoMesa vs. GridGain vs. Riak TS vs. Weaviate

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonRiak TS  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgniteRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSpatial DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.geomesa.orgwww.gridgain.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latestweaviate.io/­developers/­weaviate
DeveloperCCRi and othersGridGain Systems, Inc.Open Source, formerly Basho TechnologiesWeaviate B.V.
Initial release2014200720152019
Current release5.0.1, July 2024GridGain 8.5.13.0.0, September 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial, open sourceOpen SourceOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .Net, Python, REST, SQLErlangGo
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
OS X
Data schemeyesyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes 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.noyesnono
Secondary indexesyesyesrestrictedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLyes, limitedGraphQL is used as query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
Native Erlang Interface
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)Erlangno
Triggersnoyes (cache interceptors and events)yes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryes (replicated cache)selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.depending on storage layeryesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access control
Security Hooks for custom implementations
noAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GeoMesaGridGainRiak TSWeaviate
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
GeoMesaGridGainRiak TSWeaviate
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