DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Warp 10

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Warp 10

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonWarp 10  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.warp10.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.warp10.io/­content/­02_Getting_started
DeveloperAmazonAtos Convergence CreatorsIBMInterSystemsSenX
Initial release20152016201420182015
Current release17032023.3, June 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinuxhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesdepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.yesyesno infoImport/export of XML data possibleyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesnoyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
LDAP.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages with LDAP bindingsJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoPL/SQL, SQL PLyesyes infoWarpScript
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationfine grained access rights according to SQL-standardyesMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Amazon AuroraAtos Standard Common RepositoryIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISWarp 10
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» 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

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

More resources
Amazon AuroraAtos Standard Common RepositoryIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISWarp 10
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

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

Recent citations in the news

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 May 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Build generative AI applications with Amazon Aurora and Knowledge Bases for Amazon Bedrock | Amazon Web Services
2 February 2024, AWS Blog

Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon ...
9 February 2024, AWS Blog

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O ...
8 November 2023, AWS Blog

provided by Google News

Infographic: What makes a Mobile Operator's setup future proof?
10 February 2024, Atos

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

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

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

Announcing the availability of Bring-Your-Own-License and Reserved Instance plans for next generation Db2 ...
7 August 2023, ibm.com

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

provided by Google News

Consultmed moving its e-referral software to InterSystems's IRIS for Health and more briefs
6 May 2024, Mobihealth News

Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search -
26 March 2024, HIT Consultant

InterSystems Expands IRIS Data Platform with Vector Search to Support Next-Gen AI Applications
26 March 2024, Datanami

InterSystems Introduces Two New Cloud-Native Smart Data Services to Accelerate Database and Machine Learning ...
11 January 2024, Yahoo Finance

InterSystems and IPA's Subsidiary BioStrand Collaborate to Unveil the Innovative Integration of Vector Search with ...
28 March 2024, Business Wire

provided by Google News

Time Series Intelligence Software Market Business Insights, Key Trend Analysis | Google, SAP, Azure Time Series ...
24 April 2024, Amoré

Time Series Intelligence Software Market Analysis and Revenue Prediction | Azure Time Series Insights, Trendalyze ...
20 May 2024, Weekly Post Gazette

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB 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

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Neo4j logo

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

Milvus logo

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

Present your product here