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IBM Cloud Databases

Score8.6 out of 10

233 Reviews and Ratings

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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 limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive experience for developers that include access control, backup orchestration, encryption key management, auditing, monitoring, and logging.

List of available databases
IBM Cloud Databases for PostgreSQL
IBM Cloud Databases for MongoDB
IBM Cloud Databases for Redis
IBM Cloud Databases for EnterpriseDB(EDB)
IBM Cloud Databases for Elasticsearch
IBM Cloud Databases for etcd
IBM Cloud Messages for Rabbit MQ

Top Performing Features

  • Database security provisions

    Provision for database encryption, network isolation, and identity access management

    Category average: 8.8

  • Automatic software patching

    Patches applied to database automatically

    Category average: 8.7

  • Database scalability

    Ease of scaling compute or memory resources and storage up or down

    Category average: 9

Areas for Improvement

  • Automated backups

    Automated backup enabling point-in-time data recovery

    Category average: 8.3

  • Automatic host deployment

    Compute instance replacement in the event of hardware failure

    Category average: 7.4

  • Monitoring and metrics

    Built-in monitoring of multiple operational metrics

    Category average: 6.7

simple an easy PaaS

Use Cases and Deployment Scope

We are using IBM Cloud Databases to launch a new service. We chose a pay-as-you-go service because we needed a scalable platform. Our service will involve installing over 100 cameras and storing all video data in the system. If we were to build an on-premises environment, we would need to prepare a large-scale storage system from the start.Over the five years since our service began, we have accumulated over 100TB of video data, but by choosing IBM Cloud Databases, we have been able to operate a highly scalable system at a reasonable cost.

Pros

  • scalable
  • reasonable price
  • suitable for agile developing
  • reliable

Cons

  • unexpected EOL
  • not so easy to understand the design policy of the products

Return on Investment

  • DB2 had to be replaced by Postgres
  • Upgrading postgres took a lot of effort

Usability

Alternatives Considered

AWS Cost Explorer, AWS Elastic Beanstalk, AWS Fargate and PostgreSQL

Other Software Used

IBM Cloud Object Storage, Microsoft Azure IoT Hub, Google Cloud Identity

IBM Cloud Databases enables greater security and management

Use Cases and Deployment Scope

The scope of our use case for IBM Cloud Databases spans multiple databases deployed in different environments, including development, testing, and production. We use several platform-supported database engines, such as PostgreSQL, MongoDB, and Redis, depending on the specific requirements of our applications. Additionally, we leverage managed services and serverless architectures provided by IBM Cloud Databases to accelerate our application development workflows and improve agility in deploying new features and updates.

Pros

  • IBM Cloud Databases offers scalable database solutions that can easily accommodate growing data needs.
  • IBM Cloud Databases is a fully managed service.
  • IBM Cloud Databases seamlessly integrates with other IBM Cloud services and solutions.

Cons

  • Limited Database Options.
  • Migrating away from IBM Cloud Databases to another provider or on-premises solution can be challenging and may require significant time.
  • Learning Curve.

Other Software Used

Microsoft Teams, Atlassian Confluence, Fortinet on IBM Cloud

IBM Cloud DB

Pros

  • High Availability
  • Developer-Focused Features
  • Functions to perform Advanced Analytics

Cons

  • Cost Competitiveness
  • User Interface and Experience can be improved
  • Migrating Data to and from the tool is a little tricky

Return on Investment

  • Eased Analytics requirements
  • reduced the need for multiple tools
  • a little more expensive than previously utilized tools

Other Software Used

SQL Server Integration Services, Microsoft Power BI, Azure Data Factory

IBM PAK

Pros

  • Enable Higher by levels of compliance
  • Security
  • Management

Cons

  • IBM Cloud Hyper Protect DBaaS

Return on Investment

  • Backups
  • Analytics

Alternatives Considered

IBM Cloud Pak for Business Automation

My review on IBM Cloud database

Pros

  • File storage
  • Back up data
  • File storage

Cons

  • Mass data migration
  • Object Storage
  • Cloud backup

Return on Investment

  • Less physical hardware
  • More eco friendly.
  • Up to date

Alternatives Considered

Amazon DynamoDB

Other Software Used

Ninox, Oracle Database, Amazon DynamoDB