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DBMS > Badger vs. FatDB vs. GeoMesa vs. Hazelcast

System Properties Comparison Badger vs. FatDB vs. GeoMesa vs. Hazelcast

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonHazelcast  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A .NET NoSQL DBMS that can integrate with and extend SQL Server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A widely adopted in-memory data grid
Primary database modelKey-value storeDocument store
Key-value store
Spatial DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orghazelcast.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlhazelcast.org/­imdg/­docs
DeveloperDGraph LabsFatCloudCCRi and othersHazelcast
Initial release2017201220142008
Current release4.0.5, February 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#ScalaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsAll OS with a Java VM
Data schemeschema-freeschema-freeyesschema-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.nonoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServernoSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGoC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infovia applicationsnoyes infoEvent Listeners, Executor Services
Triggersnoyes infovia applicationsnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factordepending on storage layeryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
depending on storage layerImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoone or two-phase-commit; repeatable reads; read commited
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 layeryes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storageRole-based access control

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More resources
BadgerFatDBGeoMesaHazelcast
DB-Engines blog posts

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