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DBMS > Badger vs. BigchainDB vs. GeoMesa vs. GeoSpock

System Properties Comparison Badger vs. BigchainDB vs. GeoMesa vs. GeoSpock

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial and temporal data processing engine for extreme data scale
Primary database modelKey-value storeDocument storeSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.geomesa.orggeospock.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperDGraph LabsCCRi and othersGeoSpock
Initial release201720162014
Current release5.0.0, May 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonScalaJava, Javascript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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
Secondary indexesnoyestemporal, categorical
SQL infoSupport of SQLnononoANSI SQL for query only (using Presto)
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factordepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layerno
User concepts infoAccess controlnoyesyes infodepending on the DBMS used for storageAccess rights for users can be defined per table

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More resources
BadgerBigchainDBGeoMesaGeoSpock
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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