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DBMS > Badger vs. Citus vs. FeatureBase vs. SpaceTime

System Properties Comparison Badger vs. Citus vs. FeatureBase vs. SpaceTime

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCitus  Xexclude from comparisonFeatureBase  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.SpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelKey-value storeRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Websitegithub.com/­dgraph-io/­badgerwww.citusdata.comwww.featurebase.comwww.mireo.com/­spacetime
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.citusdata.comdocs.featurebase.com
DeveloperDGraph LabsMolecula and Pilosa Open Source ContributorsMireo
Initial release2017201020172020
Current release8.1, December 20182022, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL, commercial license also availablecommercialcommercial
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 languageGoCGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Linux
Data schemeschema-freeyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsSQL queriesA subset of ANSI SQL is implemented
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
C#
C++
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes

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More resources
BadgerCitusFeatureBaseSpaceTime
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