DBMS > Amazon CloudSearch vs. EsgynDB vs. IBM Db2 Event Store
System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. IBM Db2 Event Store
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|Editorial information provided by DB-Engines|
|Name||Amazon CloudSearch Xexclude from comparison||EsgynDB Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison|
|Description||A hosted search engine service by Amazon with the data stored in Amazons cloud||Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion||Distributed Event Store optimized for Internet of Things use cases|
|Primary database model||Search engine||Relational DBMS||Event Store|
Time Series DBMS
|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++, Java||C and C++|
|Server operating systems||hosted||Linux||Linux Linux, macOS, Windows for the developer addition|
|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|
|Secondary indexes||yes all search fields are automatically indexed||yes||no|
|SQL Support of SQL||no||yes||yes through the embedded Spark runtime|
|APIs and other access methods||HTTP API||ADO.NET|
RESTful HTTP API
|Supported programming languages||All languages supporting JDBC/ODBC/ADO.Net||C|
|Server-side scripts Stored procedures||no||Java Stored Procedures||yes|
|Partitioning methods Methods for storing different data on different nodes||yes automatic partitioning across Amazon Search Instance as required||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes managed transparently by AWS||Multi-source replication between multi datacenters||Active-active shard replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||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||yes|
|User concepts Access control||authentication via encrypted signatures||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Amazon CloudSearch||EsgynDB||IBM Db2 Event Store|
|DB-Engines blog posts|
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