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DBMS > Badger vs. FatDB vs. GeoMesa vs. LevelDB vs. Sphinx

System Properties Comparison Badger vs. FatDB vs. GeoMesa vs. LevelDB vs. Sphinx

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonLevelDB  Xexclude from comparisonSphinx  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeDocument store
Key-value store
Spatial DBMSKey-value storeSearch engine
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
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orggithub.com/­google/­leveldbsphinxsearch.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsphinxsearch.com/­docs
DeveloperDGraph LabsFatCloudCCRi and othersGoogleSphinx Technologies Inc.
Initial release20172012201420112001
Current release5.0.0, May 20241.23, February 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0Open Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#ScalaC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
WindowsIllumos
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesnono
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 indexesnoyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnono infoVia inetgration in SQL ServernonoSQL-like query language (SphinxQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocol
Supported programming languagesGoC#C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infovia applicationsnonono
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layernoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factordepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
depending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layer
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storagenono

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More resources
BadgerFatDBGeoMesaLevelDBSphinx
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