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DBMS > AlaSQL vs. EsgynDB vs. Greenplum vs. MongoDB vs. OmniSci

System Properties Comparison AlaSQL vs. EsgynDB vs. Greenplum vs. MongoDB vs. OmniSci

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMongoDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionJavaScript DBMS libraryEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score0.67
Rank#215  Overall
#32  Document stores
#108  Relational DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score13.61
Rank#42  Overall
#26  Relational DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score1.38
Rank#144  Overall
#70  Relational DBMS
Websitealasql.orgwww.esgyn.cngreenplum.orgwww.mongodb.comwww.omnisci.com
Technical documentationgithub.com/­agershun/­alasqldocs.greenplum.orgdocs.mongodb.com/­manualdocs.omnisci.com
DeveloperAndrey Gershun & Mathias R. WulffEsgynPivotal Software Inc.MongoDB, IncMapD Technologies, Inc.
Initial release20142015200520092016
Current release6.7.1, April 20205.0, July 20215.6, April 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache 2.0Open 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 available
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++, JavaC++C++ and CUDA
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-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.yes
Typing infopredefined data types such as float or datenoyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nonoyes infosince Version 4.2no
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyesRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
Thrift
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresyesJavaScriptno
Triggersyesnoyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding 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 robin
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesyesyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
AlaSQLEsgynDBGreenplumMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» 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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More resources
AlaSQLEsgynDBGreenplumMongoDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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