DBMS > Citus vs. EsgynDB vs. IBM Db2 Event Store
System Properties Comparison Citus vs. EsgynDB vs. IBM Db2 Event Store
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|Editorial information provided by DB-Engines|
|Name||Citus Xexclude from comparison||EsgynDB Xexclude from comparison||IBM Db2 Event Store Xexclude from comparison|
|Description||Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL||Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion||Distributed Event Store optimized for Internet of Things use cases|
|Primary database model||Relational DBMS||Relational DBMS||Event Store|
Time Series DBMS
|Secondary database models||Document store|
|Current release||8.1, December 2018||2.0|
|License Commercial or Open Source||Open Source AGPL, commercial license also available||commercial||commercial free developer edition available|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||C||C++, Java||C and C++|
|Server operating systems||Linux||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.||yes specific XML type available, but no XML query functionality||no||no|
|SQL Support of SQL||yes standard, with numerous extensions||yes||yes through the embedded Spark runtime|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP API
|Supported programming languages||.Net|
|All languages supporting JDBC/ODBC/ADO.Net||C|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||Java Stored Procedures||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||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||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||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||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Citus||EsgynDB||IBM Db2 Event Store|
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