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DBMS > Elasticsearch vs. GeoMesa vs. GridDB vs. Prometheus

System Properties Comparison Elasticsearch vs. GeoMesa vs. GridDB vs. Prometheus

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable in-memory time series database optimized for IoT and Big DataOpen-source Time Series DBMS and monitoring system
Primary database modelSearch engineSpatial DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.elastic.co/­elasticsearchwww.geomesa.orggriddb.netprometheus.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netprometheus.io/­docs
DeveloperElasticCCRi and othersToshiba Corporation
Initial release2010201420132015
Current release8.6, January 20235.0.0, May 20245.1, August 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0
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 languageJavaScalaC++Go
Server operating systemsAll OS with a Java VMLinuxLinux
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infoAll search fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesnonono
Triggersyes infoby using the 'percolation' featurenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop ConnectoryesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, alldepending on storage layerImmediate consistency within container, eventual consistency across containersnone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at container levelno
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.Memcached and Redis integrationdepending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users can be defined per databaseno
More information provided by the system vendor
ElasticsearchGeoMesaGridDBPrometheus
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
ElasticsearchGeoMesaGridDBPrometheus
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