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DBMS > Badger vs. BigchainDB vs. dBASE vs. Kinetica vs. OmniSci

System Properties Comparison Badger vs. BigchainDB vs. dBASE vs. Kinetica vs. OmniSci

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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 assetsdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.GPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#291  Overall
#46  Key-value stores
Score0.68
Rank#184  Overall
#28  Document stores
Score13.50
Rank#37  Overall
#23  Relational DBMS
Score0.56
Rank#200  Overall
#97  Relational DBMS
Score1.86
Rank#117  Overall
#56  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.dbase.comwww.kinetica.comwww.omnisci.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasewww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperDGraph LabsAsthon TateKineticaMapD Technologies, Inc.
Initial release20172016197920122016
Current releasedBASE PLUS 11, December 20166.0V4
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialcommercialOpen Source infoApache Version 2; enterprise edition available
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 languageGoPythonC, C++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsyes
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.user defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factornoneMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlnoyesAccess rights for users and rolesAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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BadgerBigchainDBdBASEKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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