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DBMS > Badger vs. BigchainDB vs. Memgraph vs. OmniSci

System Properties Comparison Badger vs. BigchainDB vs. Memgraph vs. OmniSci

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonMemgraph  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 assetsA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value storeDocument storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#287  Overall
#47  Key-value stores
Score0.68
Rank#184  Overall
#28  Document stores
Score0.07
Rank#309  Overall
#28  Graph DBMS
Score1.73
Rank#119  Overall
#57  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.commemgraph.comwww.omnisci.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.memgraph.comdocs.omnisci.com/­latest
DeveloperDGraph LabsMemgraph LtdMapD Technologies, Inc.
Initial release2017201620172016
Current releaseV4
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercial infoFree license availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonC and C++C++ and CUDA
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemeschema-freeschema-freeschema-free and schema-optionalyes
Typing infopredefined data types such as float or datenonoyesyes
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 indexesnono
SQL infoSupport of SQLnononoyes
APIs and other access methodsCLI Client
RESTful HTTP API
Bolt protocol
Cypher query language
JDBC
ODBC
Thrift
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infodynamic graph partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-Master replication using RAFTMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
BadgerBigchainDBMemgraphOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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