DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Redshift vs. IBM Db2 warehouse vs. Oracle vs. Valentina Server

System Properties Comparison Amazon Redshift vs. IBM Db2 warehouse vs. Oracle vs. Valentina Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonOracle  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsCloud-based data warehousing serviceWidely used RDBMSObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score1.61
Rank#156  Overall
#71  Relational DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Score0.18
Rank#331  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.ibm.com/­products/­db2/­warehousewww.oracle.com/­databasewww.valentina-db.net
Technical documentationdocs.aws.amazon.com/­redshiftdocs.oracle.com/­en/­databasevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAmazon (based on PostgreSQL)IBMOracleParadigma Software
Initial release2012201419801999
Current release23c, September 20235.7.5
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono infoImport/export of XML data possibleyes
Secondary indexesrestrictedyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin PythonPL/SQL, SQL PLPL/SQL infoalso stored procedures in Java possibleyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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
Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
» more

Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» more

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

More resources
Amazon RedshiftIBM Db2 warehouse infoformerly named IBM dashDBOracleValentina Server
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

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

show all

Recent citations in the news

Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics ...
27 March 2024, AWS Blog

Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift | Amazon Web Services
21 March 2024, AWS Blog

Amazon Redshift adds new AI capabilities, including Amazon Q, to boost efficiency and productivity | Amazon Web ...
29 November 2023, AWS Blog

Data Tokenization with Amazon Redshift Dynamic Data Masking and Protegrity | Amazon Web Services
4 March 2024, AWS Blog

The Composable CDP: Activating Data from Amazon Redshift to 200+ Tools Using Hightouch | Amazon Web Services
4 March 2024, AWS Blog

provided by Google News

Introducing the next generation of Db2 Warehouse: Our cost-effective, cloud-native data warehouse built for always-on ...
11 July 2023, ibm.com

Announcing the deprecation of prior generation Db2 Warehouse plans on AWS
16 October 2023, ibm.com

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x
11 July 2023, ibm.com

Data mining in Db2 Warehouse: the basics
23 June 2020, Towards Data Science

provided by Google News

Blog Theme - Details
27 March 2024, blogs.oracle.com

Oracle readies its databases for the AI wave
26 March 2024, SiliconANGLE News

Oracle Database@Azure Expansion: Committing to the Cloud
14 March 2024, Technology Magazine

New Oracle Database Survey Shows Customers Satisfied with Current Releases but Concerned with Cost, Effort, and ...
21 March 2024, Yahoo Finance

Microsoft and Oracle announce that Oracle Database@Azure is now generally available
13 December 2023, azure.microsoft.com

provided by Google News

A Look at Valentina — SitePoint
18 April 2014, SitePoint

Top SQL Server Data Tools (SSDT) Alternatives in 2024
15 November 2021, Slashdot

How Many Databases Can You Name?
11 May 2020, Database Journal

MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source
7 December 2018, H2S Media

provided by Google News



Share this page

Featured Products

Ontotext logo

GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs. Get it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

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

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Present your product here