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DBMS > Datomic vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Riak KV vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Microsoft Azure Synapse Analytics vs. mSQL vs. Riak KV vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRiak KV  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionDatomic 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 ServermSQL (Mini SQL) is a simple and lightweight RDBMSDistributed, fault tolerant key-value storeRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comazure.microsoft.com/­services/­synapse-analyticshughestech.com.au/­products/­msqlwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­kv/­latesthelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectMicrosoftHughes TechnologiesOpenSource, formerly Basho TechnologiesSAP infoformerly Sybase
Initial release20122016199420091992
Current release1.0.6735, June 20234.4, October 20213.2.0, December 202217, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infofree licenses can be providedOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++CErlang
Server operating systemsAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononoyes
Secondary indexesyesyesyesrestrictedyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
HTTP API
Native Erlang Interface
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C#
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsTransact SQLnoErlangyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningnoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesnoneselectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnoyesnoyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
DatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousemSQL infoMini SQLRiak KVSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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