IBM Cloud Databases

Score8.1 out of 10

233 Reviews and Ratings

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

Categories & Use Cases

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: 8.8
Automatic software patching
Patches applied to database automatically
Category average: 8.3

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: 6.8

Verified User

C-Level Executive in Corporate (1-10 employees employees)

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

Claire Adams View profile

System Engineer in Information Technology at SAIC (10,001+ employees employees)

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

Sai Teja Settipalli View profile

Data Engineer in Engineering at Exeevo Inc (51-200 employees employees)

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

Sunil Varma View profile

GRADUATE ENGINEER TRAINEE in Information Technology at Sterlite technology (5001-10,000 employees employees)

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

Kunnath Rahul

Software Engineer in Information Technology at Accenture (10,001+ employees employees)

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

Amazon Relational Database Service (RDS)

Google Cloud SQL

Azure Database

IBM Cloud Databases

What is IBM Cloud Databases?

Categories & Use Cases

Key Features

Top Performing Features

Database scalability

Database security provisions

Automatic software patching

Areas for Improvement

Automated backups

Automatic host deployment

Monitoring and metrics

Reviews

Use Cases and Deployment Scope

Pros

Cons

Return on Investment

Usability

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Other Software Used

Pros

Cons

Return on Investment

Other Software Used

Pros

Cons

Return on Investment

Alternatives Considered

Pros

Cons

Return on Investment

Alternatives Considered

Other Software Used

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