Overview
What is IBM Cloud Databases?
IBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the…
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What is IBM Cloud Databases?
List of available databases
IBM Cloud Databases for etcd
IBM Cloud Messages for Rabbit MQ
IBM Cloud Databases Features
Database-as-a-Service Features
- Supported: Automatic software patching
- Supported: Database scalability
- Supported: Automated backups
- Supported: Database security provisions
- Supported: Monitoring and metrics
- Supported: Automatic host deployment
IBM Cloud Databases Video
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IBM Cloud Databases Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
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(233)Community Insights
- Pros
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Scalability: Users have appreciated the scalability of IBM Cloud Databases, noting that it can easily accommodate growing data needs. They find the ability to scale on-demand based on requirements to be a significant advantage.
Fully Managed Service: The fully managed aspect of IBM Cloud Databases is well-received by users as it simplifies the database management process, allowing them to focus on other aspects of their business without worrying about database maintenance.
User-Friendly Interface: The user interface of IBM Cloud Databases is praised for being friendly, comprehensive, and easy to navigate. Users value how the intuitive design contributes to a seamless experience and efficient task completion.
Challenging Migration Process: Some users have found migrating away from IBM Cloud Databases to be time-consuming and challenging, with a learning curve associated with the process. They also mention difficulties in moving data to and from the platform.
User Interface and Experience Concerns: Reviewers express dissatisfaction with the user interface and experience of IBM Cloud Hyper Protect DBaaS, suggesting that improvements are needed in this area. Migrating data to and from the tool is also mentioned as a tricky task.
Cost Competitiveness and Data Migration Issues: Users highlight the need for improvements in cost competitiveness, UI features, and efficient data migration. They also mention a lack of documentation and challenges related to mass migrating data at once.