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DBMS > Badger vs. Firebolt vs. GeoMesa vs. WakandaDB

System Properties Comparison Badger vs. Firebolt vs. GeoMesa vs. WakandaDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebolt  Xexclude from comparisonGeoMesa  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSSpatial DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­dgraph-io/­badgerwww.firebolt.iowww.geomesa.orgwakanda.github.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.firebolt.iowww.geomesa.org/­documentation/­stable/­user/­index.htmlwakanda.github.io/­doc
DeveloperDGraph LabsFirebolt Analytics Inc.CCRi and othersWakanda SAS
Initial release2017202020142012
Current release5.0.0, May 20242.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methods.Net
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGoGo
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.nodepending on storage layerno
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageyes

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More resources
BadgerFireboltGeoMesaWakandaDB
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