DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Badger vs. BigchainDB vs. dBASE vs. Kdb+ vs. OmniSci

System Properties Comparison Badger vs. BigchainDB vs. dBASE vs. Kdb+ vs. OmniSci

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisondBASE  Xexclude from comparisonKdb+  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.High performance Time Series DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational 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
Score5.27
Rank#57  Overall
#2  Time Series DBMS
Score1.86
Rank#117  Overall
#56  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.dbase.comkx.comwww.omnisci.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestwww.dbase.com/­support/­knowledgebasecode.kx.comdocs.omnisci.com/­latest
DeveloperDGraph LabsAsthon TateKx Systems, a division of First Derivatives plcMapD Technologies, Inc.
Initial release2017201619792000 infokdb was released 2000, kdb+ in 20032016
Current releasedBASE PLUS 11, December 20163.6, May 2018V4
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialcommercial infofree 32-bit versionOpen 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 languageGoPythonqC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Solaris
Windows
Linux
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.nonoyesno
Secondary indexesnoyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLnononoSQL-like query language (q)yes
APIs and other access methodsCLI Client
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Thrift
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
dBase proprietary IDEC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
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 infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioningSharding 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 methodsnononono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate 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.noyesyes
User concepts infoAccess controlnoyesAccess rights for users and rolesrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerBigchainDBdBASEKdb+OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerBigchainDBdBASEKdb+OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

DB-Engines Ranking coverage expanded to 169 database management systems
3 June 2013, Paul Andlinger

show all

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

show all

Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

provided by Google News

Blockchain Market Is Booming Worldwide | AlphaPoint Corporation, Amazon Web Services, Inc., BigchainDB GmbH
2 April 2020, The Fuel Fox

Investment in Blockchain in Energy Markets Will Top $35 Billion by 2025
2 April 2020, Cointelegraph

Blockchain for Enterprise Applications Market Growth, Overview with Detailed Analysis 2020-2026| Barclays, BigchainDB, Block Array, ConsenSys, Digital Asset Holdings, Ericsson, Ethereum & More
2 April 2020, Germany English News

Blockchain: Revolution and powering the future
2 April 2020, Times of India

2020 Blockchain for Enterprise Applications Industry In-depth Research Methodology: Barclays, BigchainDB, Block Array, ConsenSys, Digital Asset Holdings, Ericsson, Ethereum, Everledger
4 March 2020, Jewish Life News

provided by Google News

Two missing digits? How about two missing employees in today's story of Y2K
30 December 2019, The Register

dBase, LLC. is excited to announce the NEW version of dBASE® 2019 Optimized Edition
19 July 2019, MENAFN.COM

Microsoft Access 2016 Now Supports dBase Database Format
7 September 2016, Redmondmag.com

Retro Database dBASE Making a Comeback?
20 March 2013, Visual Studio Magazine

5 ancient software programs we refuse to give up
31 July 2019, PCWorld

provided by Google News

Kx Offers Magnitude Simba-developed ODBC Connectivity for kdb+
11 April 2019, GlobeNewswire

Kx extends use of world's fastest time series database kdb+ with on-demand offering for cloud and on-premises
27 March 2018, Bobsguide

Kx Systems releases SaaS version of kdb+
27 March 2018, Finextra

DataRobot Partners with Kx to Unleash AI-Driven Solutions By Extending Time Series Capabilities
14 November 2019, Business Wire

First Derivatives plc appoints Kathy Schneider as Global Chief Marketing Officer
12 March 2020, Yahoo Finance

provided by Google News

Astonishing growth in Gpu database Market Business Opportunities and Global Industry Analysis by 2026 – Top Companies Kinetica (US), OmniSci (US), SQream (US), Neo4j (US), NVIDIA (US), Brytlyt (UK), Blazegraph (US)
2 April 2020, Bandera County Courier

GPU Database Market to Witness Huge Growth by 2027 | Kinetica DB , Neo4j, OmniSci, SQream Technologies
27 March 2020, Skyline Gazette

OmniSci 'Hitting Its Stride,' CEO Says
25 October 2019, Datanami

Inside OmniSci's Plans for Data Analytics Convergence
23 October 2019, Datanami

Study on GPU Database Market (impact of COVID-19) 2020-2026 Zilliz, Heterodb, H2o.Ai
2 April 2020, Bandera County Courier

provided by Google News

Job opportunities

Research Assistant/Researh Associate
Wayne State University, Detroit, MI

Data Scientist / Digital Engagement Analyst.
AETNA, Plantation, FL

MicroComputer Specialist (Tier 1 Support)
WSWHE BOCES, Wilton, NY

Professional Support
National Older Worker Career Center, Chillicothe, OH

Network Support Engineer
UPSG, Milpitas, CA

KDB Developer
Kollasoft Inc, New York, NY

Senior Quantitative Developer
Enlightenment Research LLC, New York, NY

KDB Developer
UBS, New York, NY

CIB QR - Quantitative Research - ECS eTrading – Associate / Vice President
JP Morgan Chase, New York, NY

Capital Markets Java Developer
Prutech Solutions, Charlotte, NC

jobs by Indeed




Share this page

Featured Products

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
learn more.

Present your product here