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DBMS > Badger vs. GeoMesa vs. NSDb vs. StarRocks

System Properties Comparison Badger vs. GeoMesa vs. NSDb vs. StarRocks

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeoMesa  Xexclude from comparisonNSDb  Xexclude from comparisonStarRocks  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelKey-value storeSpatial DBMSTime Series DBMSRelational 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orgnsdb.iowww.starrocks.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architecturedocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDGraph LabsCCRi and othersThe Linux Foundation infosince Feb 2023
Initial release2017201420172020
Current release4.0.5, February 20242.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaJava, ScalaC++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes: int, bigint, decimal, stringyes
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 indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
MySQL protocol
Supported programming languagesGoJava
Scala
Java
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
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 storageRole based access control and fine grained access rights

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More resources
BadgerGeoMesaNSDbStarRocks
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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