Welcome to IBM Db2 Event Store Standalone/IBM Watson Studio deployment
Start making IBM® Db2® Event Store Standalone/IBM Watson Studio deployment work for you.
IBM Db2 Event Store Standalone/IBM Watson Studio deployment
A licensed version of IBM Db2 Event Store that you can install on a cluster of servers.
IBM Db2 Event Store Standalone/IBM Watson Studio deployment is built on top of IBM Watson™ Studio Local (https://datascience.ibm.com/local), which means you have access to all the great features of IBM Watson Studio Local when you install IBM Db2 Event Store Enterprise Edition.
IBM Db2 Event Store Standalone/IBM Watson Studio deployment is deployed on a Kubernetes cluster that you can monitor and manage with the administration console.
In addition to the Scala and Python APIs, IBM Db2 Event Store Standalone/IBM Watson Studio deployment includes the REST, JDBC and ODBC APIs.
Not quite ready to commit? You can download the free trial edition of IBM Db2 Event Store Standalone/IBM Watson Studio deployment from ibm.biz/eventstore.
Overview
Sizing
Installation and set up
- Install and set up
- System requirements for IBM Db2 Event Store Standalone/IBM Watson Studio deployment
- Set up RHEL repositories
- Install IBM Db2 Event Store Standalone/IBM Watson Studio deployment
- Apply the licenses for IBM Db2 Event Store Standalone/IBM Watson Studio deployment
- Configure Cloud-based Storage
- Update the engine components for a new release
- Set Up IBM Db2 Event Store 2.0
- Uninstall IBM Db2 Event Store Standalone/IBM Watson Studio deployment
Security
Work with your database
- IBM Db2 Event Store utilities setup and usage
- Backup and restore
- Connecting to an external shared-file system for utilities
- Loading data from CSV files
- Identifying the deployment ID of Db2 Event Store in a IBM Cloud Pak for Data deployment
- Identifying the connection endpoint of the IBM Db2 Event Store instance
- Identifying the local storage path of Db2 Event Store in a IBM Cloud Pak for Data deployment
- Monitor a database
- Insert rows into a table
- Run an SQL query