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DBMS > Datomic vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuasardb  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 ServerDistributed, high-performance timeseries databaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitewww.datomic.comazure.microsoft.com/­services/­synapse-analyticsquasar.aiwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectMicrosoftquasardbSAP infoformerly Sybase
Initial release2012201620091992
Current release1.0.6735, June 20233.14.1, January 202417, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++
Server operating systemsAll OS with a Java VMhostedBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononoyes
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
HTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsTransact SQLnoyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replication with selectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoby using LevelDByes
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 developmentyes infoTransient modeyes
User concepts infoAccess controlnoyesCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard

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More resources
DatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuasardbSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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