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DBMS > Badger vs. BigchainDB vs. HBase vs. SQream DB vs. TimesTen

System Properties Comparison Badger vs. BigchainDB vs. HBase vs. SQream DB vs. TimesTen

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonHBase  Xexclude from comparisonSQream DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsWide-column store based on Apache Hadoop and on concepts of BigTablea GPU-based, columnar RDBMS for big data analytics workloadsIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeDocument storeWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comhbase.apache.orgsqream.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latesthbase.apache.org/­book.htmldocs.sqream.comdocs.oracle.com/­database/­timesten-18.1
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by PowersetSQream TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20172016200820171998
Current release2.3.4, January 20212022.1.6, December 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoPythonJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Unix
Windows infousing Cygwin
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenonooptions to bring your own types, AVROyes, ANSI Standard SQL Typesyes
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 indexesnononoyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
.Net
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javauser defined functions in PythonPL/SQL
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
BadgerBigchainDBHBaseSQream DBTimesTen
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