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DBMS > Badger vs. EXASOL vs. GeoMesa vs. NSDb

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

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoMesa  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.High-performance, in-memory, MPP database specifically designed for in-memory analytics.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 Kubernetes
Primary database modelKey-value storeRelational DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.exasol.comwww.geomesa.orgnsdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.exasol.com/­resourceswww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architecture
DeveloperDGraph LabsExasolCCRi and others
Initial release2017200020142017
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 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, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes: int, bigint, decimal, string
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 indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
Supported programming languagesGoJava
Lua
Python
R
Java
Scala
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on storage layerEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesdepending on storage layer
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardyes infodepending on the DBMS used for storage

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More resources
BadgerEXASOLGeoMesaNSDb
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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