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DBMS > Badger vs. Citus vs. StarRocks

System Properties Comparison Badger vs. Citus vs. StarRocks

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCitus  Xexclude from comparisonStarRocks  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 PostgreSQLAn 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 storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#321  Overall
#47  Key-value stores
Score1.98
Rank#114  Overall
#55  Relational DBMS
Score1.06
Rank#175  Overall
#79  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.citusdata.comwww.starrocks.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.citusdata.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDGraph LabsThe Linux Foundation infosince Feb 2023
Initial release201720102020
Current release8.1, December 20183.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
MySQL protocol
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensions
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 integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
BadgerCitusStarRocks
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