DBMS > Adabas vs. IBM Db2 Event Store vs. Microsoft SQL Server
System Properties Comparison Adabas vs. IBM Db2 Event Store vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Adabas denotes "adaptable data base" Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|Description||OLTP - DBMS for mainframes and Linux/Unix/Windows environments used typically together with the Natural programming platform||Distributed Event Store optimized for Internet of Things use cases||Microsofts flagship relational DBMS|
|Primary database model||Multivalue DBMS||Event Store|
Time Series DBMS
|Secondary database models||Document store|
|Current release||2.0||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial free developer edition available||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||C and C++||C++|
|Server operating systems||BS2000|
|Linux Linux, macOS, Windows for the developer addition||Linux|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes|
|SQL Support of SQL||yes with add-on product Adabas SQL Gateway||yes through the embedded Spark runtime||yes|
|APIs and other access methods||HTTP API with add-on software Adabas SOA Gateway|
SOAP-based API with add-on software Adabas SOA Gateway
RESTful HTTP API
Tabular Data Stream (TDS)
|Supported programming languages||Natural||C|
|Server-side scripts Stored procedures||in Natural||yes||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Partitioning methods Methods for storing different data on different nodes||yes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vista||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||yes, with add-on product Event Replicator||Active-active shard replication||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||No - written data is immutable||yes|
|Durability Support for making data persistent||yes||Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||yes|
|User concepts Access control||only with OS-specific tools (e.g. IBM RACF, CA Top Secret)||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Adabas denotes "adaptable data base"||IBM Db2 Event Store||Microsoft SQL Server|
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