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DBMS > Badger vs. GeoMesa vs. GridGain vs. Heroic

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridGain  Xexclude from comparisonHeroic  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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 modelKey-value storeSpatial DBMSKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orgwww.gridgain.comgithub.com/­spotify/­heroic
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gridgain.com/­docs/­index.htmlspotify.github.io/­heroic
DeveloperDGraph LabsCCRi and othersGridGain Systems, Inc.Spotify
Initial release2017201420072014
Current release5.0.0, May 2024GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercialOpen 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 languageGoScalaJava, C++, .NetJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyes infovia Elasticsearch
SQL infoSupport of SQLnonoANSI-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 languagesGoC#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.nodepending on storage layeryesno
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageSecurity Hooks for custom implementations

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More resources
BadgerGeoMesaGridGainHeroic
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