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DBMS > Ingres vs. MongoDB vs. TerarkDB

System Properties Comparison Ingres vs. MongoDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonMongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionWell established RDBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.34
Rank#67  Overall
#36  Relational DBMS
Score488.22
Rank#5  Overall
#1  Document stores
Score0.08
Rank#323  Overall
#51  Key-value stores
Websitewww.actian.com/­data-management/­ingres-sql-rdbmswww.mongodb.comgithub.com/­Terark/­terarkdb
Technical documentationdocs.actian.com/­ingresdocs.mongodb.com/­manualgithub.com/­Terark/­terarkdb/­wiki
DeveloperActian CorporationMongoDB, IncTerark
Initial release1974 infooriginally developed at University Berkely in early 1970s20092016
Current release11.0, April 20174.4.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-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-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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.no infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesno
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
proprietary protocol using JSONC++ API
Java API
Supported programming languagesActionscript 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++
Java
Server-side scripts infoStored proceduresyesJavaScriptno
Triggersyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infopartitioned by hashed, ranged, or zoned sharding keysnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno
More information provided by the system vendor
IngresMongoDBTerarkDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» 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 metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
IngresMongoDBTerarkDB
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

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Conferences and events

The Secret Sauce for Data Modeling
Webinar Recording, 1 June 2021 - 1 July 2021

MongoDB.Live
Virtual Conference, 13-14 July 2021

Recent citations in the news

Actian Unveils Ingres NeXt Initiative
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