DBMS > Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Oracle NoSQL
System Properties Comparison Alibaba Cloud Table Store vs. IBM Db2 Event Store vs. Oracle NoSQL
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud Table Store Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison||Oracle NoSQL Xexclude from comparison|
|Description||A fully managed Wide Column Store for large quantities of semi-structured data with real-time access||Distributed Event Store optimized for Internet of Things use cases||A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes|
|Primary database model||Wide column store||Event Store|
Time Series DBMS
|Current release||2.0||22.3, December 2022|
|License Commercial or Open Source||commercial||commercial free developer edition available||Open Source Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Implementation language||C and C++||Java|
|Server operating systems||hosted||Linux Linux, macOS, Windows for the developer addition||Linux|
|Data scheme||schema-free||yes||Support Fixed schema and Schema-less deployment with the ability to interoperate between them.|
|Typing predefined data types such as float or date||yes||yes||optional|
|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||yes through the embedded Spark runtime||SQL-like DML and DDL statements|
|APIs and other access methods||HTTP API||ADO.NET|
RESTful HTTP API
|RESTful HTTP API|
|Supported programming languages||Java|
|Server-side scripts Stored procedures||no||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Active-active shard replication||Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||with Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency||Eventual Consistency|
Immediate Consistency depending on configuration
|Foreign keys Referential integrity||no||no||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic single-row operations||no||configurable ACID within a storage node (=shard)|
|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 off heap cache|
|User concepts Access control||Access rights based on subaccounts and tokens||fine grained access rights according to SQL-standard||Access rights for users and roles|
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|Alibaba Cloud Table Store||IBM Db2 Event Store||Oracle NoSQL|
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