DBMS > IBM Db2 Event Store vs. Postgres-XL vs. SAP Advantage Database Server vs. SwayDB

System Properties Comparison IBM Db2 Event Store vs. Postgres-XL vs. SAP Advantage Database Server vs. SwayDB

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Editorial information provided by DB-Engines
Name	IBM Db2 Event Store  Xexclude from comparison	Postgres-XL  Xexclude from comparison	SAP Advantage Database Server former name: Sybase ADS  Xexclude from comparison	SwayDB  Xexclude from comparison
			SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Description	Distributed Event Store optimized for Internet of Things use cases	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	Low-cost RDBMS with access to ISAM and FoxPro data structures	An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database model	Event Store Time Series DBMS	Relational DBMS	Relational DBMS	Key-value store
Secondary database models		Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.27 Rank #309   Overall #2   Event Stores #28   Time Series DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS		Score 0.04 Rank #387   Overall #61   Key-value stores
Website	www.ibm.com/­products/­db2-event-store	www.postgres-xl.org	www.sap.com/products/advantage-database-server.html	swaydb.simer.au
Technical documentation	www.ibm.com/­docs/­en/­db2-event-store	www.postgres-xl.org/­documentation
Developer	IBM		Sybase, SAP	Simer Plaha
Initial release	2017	2014 since 2012, originally named StormDB	1993	2018
Current release	2.0	10 R1, October 2018
License Commercial or Open Source	commercial free developer edition available	Open Source Mozilla public license	commercial	Open Source GNU Affero GPL V3.0
Cloud-based only Only available as a cloud service	no	no	no	no
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Implementation language	C and C++	C		Scala
Server operating systems	Linux Linux, macOS, Windows for the developer addition	Linux macOS	Linux Windows
Data scheme	yes	yes	yes	schema-free
Typing predefined data types such as float or date	yes	yes	yes	no
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	yes XML type, but no XML query functionality	no	no
Secondary indexes	no	yes	yes	no
SQL Support of SQL	yes through the embedded Spark runtime	yes distributed, parallel query execution	yes	no
APIs and other access methods	ADO.NET DB2 Connect JDBC ODBC RESTful HTTP API	ADO.NET JDBC native C library ODBC streaming API for large objects	.NET Client API ADO.NET JDBC ODBC OLE DB
Supported programming languages	C C# C++ Cobol Delphi Fortran Go Java JavaScript (Node.js) Perl PHP Python R Ruby Scala Visual Basic	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	Delphi Perl PHP	Java Kotlin Scala
Server-side scripts Stored procedures	yes	user defined functions	yes	no
Triggers	no	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	horizontal partitioning	none	none
Replication methods Methods for redundantly storing data on multiple nodes	Active-active shard replication		Multi-source replication CONFLICT Trigger to resolve replication conflicts Source-replica replication	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	Eventual Consistency	Immediate Consistency	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID MVCC	ACID	Atomic execution of operations
Concurrency Support for concurrent manipulation of data	No - written data is immutable	yes	yes	yes
Durability Support for making data persistent	Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes	no	no caching of (temporary) tables can be configured	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	no
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More resources
	IBM Db2 Event Store	Postgres-XL	SAP Advantage Database Server former name: Sybase ADS	SwayDB
Recent citations in the news	Advancements in streaming data storage, real-time analysis and machine learning 25 July 2019, ibm.com How IBM Is Turning Db2 into an ‘AI Database’ 3 June 2019, Datanami Best cloud databases of 2022 4 October 2022, ITPro Why a robust data management strategy is essential today | IBM HDM 19 September 2019, Express Computer provided by Google News		SAP Announces Q3 2023 Results: Asia Pacific and Japan View 19 October 2023, SAP News provided by Google News

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