DBMS > IBM Db2 Event Store vs. Postgres-XL
System Properties Comparison IBM Db2 Event Store vs. Postgres-XL
Please select another system to include it in the comparison.
Our visitors often compare IBM Db2 Event Store and Postgres-XL with MySQL, MongoDB and etcd.
|Editorial information provided by DB-Engines|
|Name||IBM Db2 Event Store Xexclude from comparison||Postgres-XL Xexclude from comparison|
|Description||Distributed Event Store optimized for Internet of Things use cases||Based on PostgreSQL enhanced with MPP and write-scale-out cluster features|
|Primary database model||Event Store|
Time Series DBMS
|Secondary database models||Document store|
|Initial release||2017||2014 since 2012, originally named StormDB|
|Current release||2.0||10 R1, October 2018|
|License Commercial or Open Source||commercial free developer edition available||Open Source Mozilla public license|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Implementation language||C and C++||C|
|Server operating systems||Linux Linux, macOS, Windows for the developer addition||Linux|
|Typing predefined data types such as float or date||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||yes XML type, but no XML query functionality|
|SQL Support of SQL||yes through the embedded Spark runtime||yes distributed, parallel query execution|
|APIs and other access methods||ADO.NET|
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||user defined functions|
|Partitioning methods Methods for storing different data on different nodes||Sharding||horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Active-active shard replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID MVCC|
|Concurrency Support for concurrent manipulation of data||No - written data is immutable||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|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|IBM Db2 Event Store||Postgres-XL|
|Recent citations in the news|
Best cloud databases of 2022
How IBM Is Turning Db2 into an 'AI Database'
IBM Builds New Ultra-Fast Platform for Hoovering Up and Analyzing ...
IBM Advances 'Watson Anywhere' with New Clients and Innovations ...
provided by Google News
Building a scalable PostgreSQL solution
Postgres Xl 3o Meetup Postgresql Curitiba
Postgres-XL | Open Source Scalable SQL Database Cluster
provided by Google News
Share this page