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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebird  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.Firebird is an open source RDBMS forked from Borland's InterBaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSEvent StoreRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.datomic.comwww.eventstore.comwww.firebirdsql.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comdevelopers.eventstore.comwww.firebirdsql.org/­en/­reference-manualsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectEvent Store LimitedFirebird FoundationMicrosoftSAP infoformerly Sybase
Initial release201220122000 infoAs fork of Borland's InterBase20161992
Current release1.0.6735, June 202321.2, February 20215.0.0, January 202417, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C++
Server operating systemsAll OS with a Java VMLinux
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsPSQLTransact SQLyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationyesSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyesfine grained access rights according to SQL-standard

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More resources
DatomicEventStoreDBFirebirdMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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