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DBMS > Amazon Redshift vs. IBM Db2 warehouse vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon Redshift vs. IBM Db2 warehouse vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsCloud-based data warehousing serviceGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.70
Rank#36  Overall
#22  Relational DBMS
Score1.22
Rank#163  Overall
#73  Relational DBMS
Score22.94
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Websiteaws.amazon.com/­redshiftwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­redshiftlearn.microsoft.com/­azure/­cosmos-db
DeveloperAmazon (based on PostgreSQL)IBMMicrosoft
Initial release201220142014
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedhostedhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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 possible
Secondary indexesrestrictedyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesSQL-like query language
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll languages supporting JDBC/ODBCJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresuser defined functions infoin PythonPL/SQL, SQL PLJavaScript
TriggersnoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
Amazon RedshiftIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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