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DBMS > GeoMesa vs. GigaSpaces vs. GridDB vs. YottaDB

System Properties Comparison GeoMesa vs. GigaSpaces vs. GridDB vs. YottaDB

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataA fast and solid embedded Key-value store
Primary database modelSpatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.geomesa.orgwww.gigaspaces.comgriddb.netyottadb.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netyottadb.com/­resources/­documentation
DeveloperCCRi and othersGigaspaces TechnologiesToshiba CorporationYottaDB, LLC
Initial release2014200020132001
Current release5.0.0, May 202415.5, September 20205.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .NetC++C
Server operating systemsLinux
macOS
Solaris
Windows
LinuxDocker
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampno
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)by using the Octo plugin
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at container leveloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 layeryesyesyes
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access controlAccess rights for users can be defined per databaseUsers and groups based on OS-security mechanisms
More information provided by the system vendor
GeoMesaGigaSpacesGridDBYottaDB
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
GeoMesaGigaSpacesGridDBYottaDB
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