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DBMS > Badger vs. GeoMesa vs. Heroic vs. PostGIS vs. Warp 10

System Properties Comparison Badger vs. GeoMesa vs. Heroic vs. PostGIS vs. Warp 10

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeoMesa  Xexclude from comparisonHeroic  Xexclude from comparisonPostGIS  Xexclude from comparisonWarp 10  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpatial extension of PostgreSQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeSpatial DBMSTime Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orggithub.com/­spotify/­heroicpostgis.netwww.warp10.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlspotify.github.io/­heroicpostgis.net/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperDGraph LabsCCRi and othersSpotifySenX
Initial release20172014201420052015
Current release4.0.5, February 20243.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoApache 2.0Open Source infoGPL v2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaJavaCJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyesno
Secondary indexesnoyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Server-side scripts infoStored proceduresnononouser defined functionsyes infoWarpScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingyes infobased on PostgreSQLSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layeryesyes infobased on PostgreSQLselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layernonoyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyes infobased on PostgreSQLMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BadgerGeoMesaHeroicPostGISWarp 10
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