#1 most frequent
United States of America
50.0%2 installations of 4
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 etcd
IBM Cloud Messages for Rabbit MQ
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 ElasticsearchIBM Cloud Databases for etcd
IBM Cloud Messages for Rabbit MQ
Categories & Use Cases
Videos
Top Performing Features
Database scalability
Ease of scaling compute or memory resources and storage up or down
Category average: 9.2
Database security provisions
Provision for database encryption, network isolation, and identity access management
Category average: 8.9
Automatic software patching
Patches applied to database automatically
Category average: 8.3
Areas for Improvement
Automated backups
Automated backup enabling point-in-time data recovery
Category average: 8
Automatic host deployment
Compute instance replacement in the event of hardware failure
Category average: 6.8
Monitoring and metrics
Built-in monitoring of multiple operational metrics
Category average: 6.9
Who Buys & Uses IBM Cloud Databases
#2 most frequent
India
25.0%1 installation of 4
#3 most frequent
United Arab Emirates
25.0%1 installation of 4
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
