DB-EnginesExtremeDB: hybrid in-memory and persistent storage based on a true IMDSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatomic  Xexclude from comparisonMonetDB  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 durabilityA relational database management system that stores data in columnsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score1.98
Rank#119  Overall
#58  Relational DBMS
Score0.00
Rank#348  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­redshiftwww.datomic.comwww.monetdb.orgnsdb.io
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comwww.monetdb.org/­Documentationnsdb.io/­Architecture
DeveloperAmazon (based on PostgreSQL)CognitectMonetDB BV
Initial release2012201220042017
Current release0.9.5951, July 2019Oct2020-SP2, January 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, ClojureCJava, Scala
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: 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-standardnoyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCClojure
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyes infoTransaction Functionsyes, in SQL, C, Rno
TriggersnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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)yesUsing 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 development
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon RedshiftDatomicMonetDBNSDb
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» 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.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftDatomicMonetDBNSDb
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

Recent citations in the news

ASU's data warehouse migration to the cloud proves valuable
2 August 2021, Arizona State University

Amazon brings more compute to RedShift nodes with AQUA – Blocks and Files
15 April 2021, Blocks and Files

How AQUA For Amazon Redshift Performs Its Queries Up To 10X Faster Than Before
10 May 2021, Forbes

Amazon (AMZN) to Report Q2 Earnings: What's in the Cards?
26 July 2021, Nasdaq

AQUA for Amazon Redshift goes GA
14 April 2021, ZDNet

provided by Google News

Brazil's Nubank Acquires US Software Firm Cognitect
30 July 2020, Nearshore Americas

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Latin American banking giant Nubank snaps up US software company
24 July 2020, AltFi

Nubank's credit card business surges in Brazil
2 October 2020, Euromoney magazine

These are the top 25 people who will have the most influence in tech this year, according to a survey of over
24 July 2019, Business Insider India

provided by Google News

Global RDBMS Software Market 2026 The leading Industry Players : Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM etc. – Domestic Violence
31 July 2021, Domestic Violence

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

International innovation award to Martin Kersten — CWI Amsterdam
24 June 2014, Centrum Wiskunde & Informatica (CWI)

Columnar Databases and Vectorization
27 May 2018, InfoQ.com

Varada and Firebolt launch cloud analytics query platforms
9 December 2020, ZDNet

provided by Google News

Job opportunities

Software Development Manager - Amazon Redshift
Amazon Web Services, Inc., East Palo Alto, CA

Performance Engineer - Amazon Redshift
Amazon Web Services, Inc., Boston, MA

Director of Technology Alliances, Amazon Web Services
N2W Software, Seattle, WA

Salesforce Admin
Calm, Remote

Data Engineer
Amazon Web Services, Inc., Santa Clara, CA

Sr. iOS Engineer
Client Resources, Inc., Lincoln, NE

Clojure Software Engineer
Nomi Health, Austin, TX

Senior Developer - (Back End)
Railsbank, Austin, TX

Data Platform Engineer
Analytical Flavor Systems, Inc, Remote

Sr. Product Manager
Parkside, San Francisco, CA

jobs by Indeed



Share this page

Featured Products

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Present your product here