DBMS > Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. SiriDB vs. WakandaDB

System Properties Comparison Fujitsu Enterprise Postgres vs. IBM Db2 Event Store vs. SiriDB vs. WakandaDB

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Name	Fujitsu Enterprise Postgres  Xexclude from comparison	IBM Db2 Event Store  Xexclude from comparison	SiriDB  Xexclude from comparison	WakandaDB  Xexclude from comparison
Description	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Distributed Event Store optimized for Internet of Things use cases	Open Source Time Series DBMS	WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database model	Relational DBMS	Event Store Time Series DBMS	Time Series DBMS	Object oriented DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.37 Rank #278   Overall #128   Relational DBMS	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.07 Rank #378   Overall #42   Time Series DBMS	Score 0.10 Rank #356   Overall #16   Object oriented DBMS
Website	www.postgresql.fastware.com	www.ibm.com/­products/­db2-event-store	siridb.com	wakanda.github.io
Technical documentation	www.postgresql.fastware.com/­product-manuals	www.ibm.com/­docs/­en/­db2-event-store	docs.siridb.com	wakanda.github.io/­doc
Developer	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	IBM	Cesbit	Wakanda SAS
Initial release		2017	2017	2012
Current release	Fujitsu Enterprise Postgres 14, January 2022	2.0		2.7.0 (April 29, 2019), April 2019
License Commercial or Open Source	commercial	commercial free developer edition available	Open Source MIT License	Open Source AGPLv3, extended commercial license available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C	C and C++	C	C++, JavaScript
Server operating systems	Linux Windows	Linux Linux, macOS, Windows for the developer addition	Linux	Linux OS X Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes Numeric data	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
Secondary indexes	yes	no	yes
SQL Support of SQL	yes	yes through the embedded Spark runtime	no	no
APIs and other access methods	ADO.NET JDBC native C library ODBC streaming API for large objects	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	HTTP API	RESTful HTTP API
Supported programming languages	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	C C++ Go Java JavaScript (Node.js) PHP Python R	JavaScript
Server-side scripts Stored procedures	user defined functions	yes	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	partitioning by range, list and by hash	Sharding	Sharding	none
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Active-active shard replication	yes	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Eventual Consistency		Immediate Consistency
Foreign keys Referential integrity	yes	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	No - written data is immutable	yes	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	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes	no
User concepts Access control	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard	simple rights management via user accounts	yes
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More resources
	Fujitsu Enterprise Postgres	IBM Db2 Event Store	SiriDB	WakandaDB
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