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DBMS > EventStoreDB vs. GeoMesa vs. GridGain vs. Heroic

System Properties Comparison EventStoreDB vs. GeoMesa vs. GridGain vs. Heroic

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.GridGain is an in-memory computing platform, built on Apache IgniteTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
Primary database modelEvent StoreSpatial DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
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
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Websitewww.eventstore.comwww.geomesa.orgwww.gridgain.comgithub.com/­spotify/­heroic
Technical documentationdevelopers.eventstore.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroic
DeveloperEvent Store LimitedCCRi and othersGridGain Systems, Inc.Spotify
Initial release2012201420072014
Current release21.2, February 20215.0.1, July 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0commercial, open sourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava, C++, .Net, Python, REST, SQLJava
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)no
Triggersnoyes (cache interceptors and events)no
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 layeryes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access control
Security Hooks for custom implementations

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More resources
EventStoreDBGeoMesaGridGainHeroic
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