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DBMS > Badger vs. BigObject vs. Citus vs. H2 vs. Quasardb

System Properties Comparison Badger vs. BigObject vs. Citus vs. H2 vs. Quasardb

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonCitus  Xexclude from comparisonH2  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerbigobject.iowww.citusdata.comwww.h2database.comquasar.ai
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iodocs.citusdata.comwww.h2database.com/­html/­main.htmldoc.quasar.ai/­master
DeveloperDGraph LabsBigObject, Inc.Thomas Muellerquasardb
Initial release20172015201020052009
Current release8.1, December 20182.2.220, July 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoAGPL, commercial license also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infointeger and binary
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.nonoyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infostandard, with numerous extensionsyesSQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HTTP API
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures and User-Defined Functionsno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infoother methods possible by using 3rd party extensionsWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infoTransient mode
User concepts infoAccess controlnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
BadgerBigObjectCitusH2Quasardb
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