IBM Cloud Databases provide autoscale to ensure the job is done
November 24, 2021

IBM Cloud Databases provide autoscale to ensure the job is done

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Cloud Databases

  • IBM Cloud Databases for PostgreSQL
  • IBM Db2 on Cloud
  • IBM Compose for MySQL
  • IBM Cloud Databases for EnterpriseDB (EDB)
I am using databases individually when store structured datasets. I would use IBM Cloud Databases for structured data storage and use IBM Cloud Object Storage for unstructured object data or models. It helps us to ensure the datasets are following the standard format and the quality of the data at the first glance.
  • quick
  • easy
  • cheap
  • lack of community support
  • compatibility with other tools
  • not the most popular option
  • natively integrated with other IBM tools
  • one stop for all your needs
  • lack of stackoverflow support
Life-saving. Adding additional capacity to storage or RAM is hands down definitely one of the biggest features that IBM cloud databases have. Without this function/ feature, the potential consequence would be the instance got killed due to insufficient storage/ RAM and the entire work is being lost due to that.
The available options are definitely good in terms of the database's compatibility. If the databases are used in your organization are not on the list, it would be a huge detour for you to connect them manually and that is also a big hole for potential risk and job failure in the future.
It is very important to ensure operations run smoothly and getting the automatically and systematically done is a big plus. Apart from that, sometimes you have to choose to spend some additional time to build backups in case to avoid the job failed somewhere and you have to restart from the beginning but IBM Cloud Databases doesn't have that issue.
  • IBM Cloud Auto Scaling
  • IBM Cloud Object Storage
  • IBM Analytics Engine
  • IBM Master Data Management on Cloud
  • IBM Watson Studio (formerly IBM Data Science Experience)
  • IBM Watson Machine Learning
Having all the IBM tools natively integrated together and you can directly connect them without any issue is a great benefit when choosing to use the IBM Cloud Database and the impact is huge when more and more tools become available in the IBM Cloud family and the impact of that exponentially increased.
  • Amazon Relational Database Service (RDS)
The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.

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Amazon S3 (Simple Storage Service), Snowflake, Amazon EMR (Elastic MapReduce), Databricks Lakehouse Platform (Unified Analytics Platform)
IBM Cloud Databases is well suited when the IBM cloud toolset is widely used in your organization and the goal is to store structured datasets into the databases that the end-users are planning to leverage SQL to pull the data out. If the data is unstructured then you should use object storage.

IBM Cloud Databases Feature Ratings

Automatic software patching
Database scalability
Automated backups
Database security provisions
Monitoring and metrics
Automatic host deployment