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DBMS > Badger vs. OmniSci

System Properties Comparison Badger vs. OmniSci

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Editorial information provided by DB-Engines
NameBadger  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.A high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#291  Overall
#46  Key-value stores
Score1.86
Rank#117  Overall
#56  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.omnisci.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.omnisci.com/­latest
DeveloperDGraph LabsMapD Technologies, Inc.
Initial release20172016
Current releaseV4
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesnono
SQL infoSupport of SQLnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
BadgerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

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

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
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25 October 2019, Datanami

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