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DBMS > Badger vs. InterSystems Caché vs. MongoDB vs. Riak KV vs. SQream DB

System Properties Comparison Badger vs. InterSystems Caché vs. MongoDB vs. Riak KV vs. SQream DB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A multi-model DBMS and application serverOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureDistributed, fault tolerant key-value storea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Document storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#298  Overall
#44  Key-value stores
Score2.91
Rank#102  Overall
#18  Key-value stores
#1  Object oriented DBMS
#53  Relational DBMS
Score488.57
Rank#5  Overall
#1  Document stores
Score6.09
Rank#64  Overall
#7  Key-value stores
Score0.59
Rank#226  Overall
#110  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.intersystems.com/­products/­cachewww.mongodb.comriak.com/­products/­riak-kvsqream.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.intersystems.comdocs.mongodb.com/­manualdocs.sqream.com
DeveloperDGraph LabsInterSystemsMongoDB, IncBasho TechnologiesSQream Technologies
Initial release20171997200920092014
Current release2018.1.4, May 20205.0.5, December 20212.1.0, April 20152021.2, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++ErlangC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Linux
Data schemeschema-freedepending on used data modelschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeyes
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes, ANSI Standard SQL Types
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.noyesno
Secondary indexesnoyesyesrestrictedyes
SQL infoSupport of SQLnoyesRead-only SQL queries via the MongoDB Connector for BInoyes
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONHTTP API
Native Erlang Interface
.Net
JDBC
ODBC
Supported programming languagesGoC#
C++
Java
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesJavaScriptJavaScript and Erlanguser defined functions in Python
Triggersnoyesyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infono "single point of failure"horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlnoAccess rights for users, groups and rolesAccess rights for users and rolesno
More information provided by the system vendor
BadgerInterSystems CachéMongoDBRiak KVSQream DB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Due to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
What can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
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