DBMS > Alibaba Cloud Table Store vs. DataFS vs. IBM Db2 Event Store
System Properties Comparison Alibaba Cloud Table Store vs. DataFS vs. IBM Db2 Event Store
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud Table Store Xexclude from comparison||DataFS Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison|
|Description||A fully managed Wide Column Store for large quantities of semi-structured data with real-time access||All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.||Distributed Event Store optimized for Internet of Things use cases|
|Primary database model||Wide column store||Object oriented DBMS||Event Store|
Time Series DBMS
|Secondary database models||Graph DBMS|
|Current release||1.1.263, October 2022||2.0|
|License Commercial or Open Source||commercial||commercial||commercial free developer edition available|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++|
|Server operating systems||hosted||Windows||Linux Linux, macOS, Windows for the developer addition|
|Data scheme||schema-free||Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)||yes|
|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||no|
|SQL Support of SQL||no||no||yes through the embedded Spark runtime|
|APIs and other access methods||HTTP API||.NET Client API|
Proprietary client DLL
RESTful HTTP API
|Supported programming languages||Java|
|Server-side scripts Stored procedures||no||yes|
|Triggers||no||no, except callback-events from server when changes happened||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Proprietary Sharding system||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Active-active shard replication|
|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||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||No - written data is immutable|
|Durability Support for making data persistent||yes||yes||Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||yes|
|User concepts Access control||Access rights based on subaccounts and tokens||Windows-Profile||fine grained access rights according to SQL-standard|
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|Alibaba Cloud Table Store||DataFS||IBM Db2 Event Store|
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