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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. Datomic vs. Microsoft Azure Synapse Analytics vs. RethinkDB

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. Datomic vs. Microsoft Azure Synapse Analytics vs. RethinkDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRethinkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.63
Rank#33  Overall
#20  Relational DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score2.81
Rank#110  Overall
#20  Document stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comazure.microsoft.com/­services/­synapse-analyticsrethinkdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsrethinkdb.com/­docs
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsCognitectMicrosoftThe Linux Foundation infosince July 2017
Initial release20122016201220162009
Current release17031.0.6735, June 20232.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJava, ClojureC++C++
Server operating systemshostedLinuxAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes infostring, binary, float, bool, date, geometry
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.noyesnonono
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoyesno
APIs and other access methodsJDBC
ODBC
LDAPRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsClojure
Java
C#
Java
PHP
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes infoTransaction FunctionsTransact SQL
TriggersnoyesBy using transaction functionsnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoBut extensive use of caching in the application peersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationnoyesyes infousers and table-level permissions

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More resources
Amazon RedshiftAtos Standard Common RepositoryDatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRethinkDB
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