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DBMS > Badger vs. Greenplum vs. SQream DB vs. TerarkDB

System Properties Comparison Badger vs. Greenplum vs. SQream DB vs. TerarkDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGreenplum  Xexclude from comparisonSQream DB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.a GPU-based, columnar RDBMS for big data analytics workloadsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegithub.com/­dgraph-io/­badgergreenplum.orgsqream.comgithub.com/­bytedance/­terarkdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.greenplum.orgdocs.sqream.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperDGraph LabsPivotal Software Inc.SQream TechnologiesByteDance, originally Terark
Initial release2017200520172016
Current release7.0.0, September 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, CUDA, Haskell, Java, ScalaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesno
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 infosince Version 4.2no
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
C++ API
Java API
Supported programming languagesGoC
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyesuser defined functions in Pythonno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
BadgerGreenplumSQream DBTerarkDB
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