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DBMS > Badger vs. GeoMesa vs. Splice Machine

System Properties Comparison Badger vs. GeoMesa vs. Splice Machine

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGeoMesa  Xexclude from comparisonSplice Machine  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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeSpatial DBMSRelational DBMS
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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.geomesa.orgsplicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.geomesa.org/­documentation/­stable/­user/­index.htmlsplicemachine.com/­how-it-works
DeveloperDGraph LabsCCRi and othersSplice Machine
Initial release201720142014
Current release5.0.0, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
Supported programming languagesGoC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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 layeryes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerGeoMesaSplice Machine
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