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DBMS > Amazon Redshift vs. Datomic vs. MongoDB vs. NSDb

System Properties Comparison Amazon Redshift vs. Datomic vs. MongoDB vs. NSDb

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMongoDB  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.86
Rank#33  Overall
#19  Relational DBMS
Score1.86
Rank#124  Overall
#61  Relational DBMS
Score496.54
Rank#5  Overall
#1  Document stores
Score0.00
Rank#348  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.mongodb.comnsdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdocs.mongodb.com/­manualnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CognitectMongoDB, Inc
Initial release2012201220092017
Current release0.9.5951, July 20195.0, July 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen 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 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
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Implementation languageCJava, ClojureC++Java, Scala
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-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.
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes: int, bigint, decimal, string
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.nonono
Secondary indexesrestrictedyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoRead-only SQL queries via the MongoDB Connector for BISQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIproprietary protocol using JSONgRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
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
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction FunctionsJavaScriptno
TriggersnoBy using transaction functionsyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding 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
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infooptional, enabled by defaultUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles
More information provided by the system vendor
Amazon RedshiftDatomicMongoDBNSDb
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
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