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DBMS > JSqlDb vs. MongoDB vs. OmniSci vs. SQream DB

System Properties Comparison JSqlDb vs. MongoDB vs. OmniSci vs. SQream DB

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Editorial information provided by DB-Engines
NameJSqlDb  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSQream DB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionJavaScript Query Language Database, stores JavaScript objects and primitivesOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwarea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score488.57
Rank#5  Overall
#1  Document stores
Score1.27
Rank#153  Overall
#73  Relational DBMS
Score0.59
Rank#226  Overall
#110  Relational DBMS
Websitejsqldb.org (offline)www.mongodb.comgithub.com/­omnisci/­omniscidb
www.omnisci.com
sqream.com
Technical documentationdocs.mongodb.com/­manualdocs.omnisci.comdocs.sqream.com
DeveloperKonrad von BackstromMongoDB, IncMapD Technologies, Inc.SQream Technologies
Initial release2018200920162014
Current release0.8, December 20185.0.5, December 20215.10, January 20222021.2, September 2021
License infoCommercial or Open SourceOpen SourceOpen 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; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDAC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
macOS
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeschema-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.yesyes
Typing infopredefined data types such as float or datenoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes, 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.nono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyesyes
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
Thrift
Vega
.Net
JDBC
ODBC
Supported programming languagesJavaScriptActionscript 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
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresfunctions in JavaScriptJavaScriptnouser defined functions in Python
Triggersnoyes infoin MongoDB Atlas onlynono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 infoRound robinhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing RocksDByes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
JSqlDbMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SQream DB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Optimizes memory and compute layers to deliver unprecedented performance. Natively...
» 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
Only OmniSci allows users to visually and interactively discover high-value patterns,...
» 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
Spatiotemporal and interactive visual analysis on massive, disparate datasets.
» 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
OmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
JSqlDbMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SQream DB
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