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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. MongoDB vs. PostgreSQL vs. YottaDB

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. MongoDB vs. PostgreSQL vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMongoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYottaDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument store
Key-value store
Document storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Key-value store
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
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score421.08
Rank#5  Overall
#1  Document stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mongodb.comwww.postgresql.orgyottadb.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.mongodb.com/­docs/­manualwww.postgresql.org/­docsyottadb.com/­resources/­documentation
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsMongoDB, IncPostgreSQL Global Development Group infowww.postgresql.org/­developerYottaDB, LLC
Initial release2012201620091989 info1989: Postgres, 1996: PostgreSQL2001
Current release17036.0.7, June 202316.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen 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 infoBSDOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)nono
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Implementation languageCJavaC++CC
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Docker
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-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.yesschema-free
Typing infopredefined data types such as float or dateyesoptionalyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesno
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesrestrictedyesyesyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infostandard with numerous extensionsby using the Octo plugin
APIs and other access methodsJDBC
ODBC
LDAPGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsActionscript 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
Kotlin
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.partitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsMulti-document ACID Transactions with snapshot isolationACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users and rolesfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
Amazon RedshiftAtos Standard Common RepositoryMongoDBPostgreSQLYottaDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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
Amazon RedshiftAtos Standard Common RepositoryMongoDBPostgreSQLYottaDB
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