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IBM Cloud Databases

IBM Cloud Databases

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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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Database security provisions (83)
    8.6
    86%
  • Database scalability (87)
    8.3
    83%
  • Automated backups (90)
    7.1
    71%
  • Monitoring and metrics (87)
    5.5
    55%

Reviewer Pros & Cons

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Pricing

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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…

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Alternatives Pricing

What is Db2?

DB2 is a family of relational database software solutions offered by IBM. It includes standard Db2 and Db2 Warehouse editions, either deployable on-cloud, or on-premise.

What is SAP HANA Cloud?

SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk…

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Features

Database-as-a-Service

Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service

7.4
Avg 8.7
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Product Details

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

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

Introduction to IBM Cloud Databases

IBM Cloud Databases Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google Cloud SQL, Azure Database, and Amazon Relational Database Service (RDS) are common alternatives for IBM Cloud Databases.

Reviewers rate Database security provisions highest, with a score of 8.6.

The most common users of IBM Cloud Databases are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(234)

Attribute Ratings

Reviews

(1-25 of 76)
Companies can't remove reviews or game the system. Here's why
Claire Adams | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Jude Allred | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
IBM Compose is providing us with an Architecture-As-A-Service solution for persistent, highly-available NoSQL based data storage. We primarily use it to host data for our microservices and Glitch integrations. The ease of use in getting started and the ongoing low overhead of maintaining the product have been perfect. We haven't had a moment of trouble since starting to use the service.
Dominik Hurnaus | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
As a young startup we wanted to focus on our core product and not be held back by infrastructure management and maintenance. This is why we moved our RabbitMQ and (persistent) Redis clusters to compose.io. We no longer have to provide servers, maintenance, monitoring, etc. for those parts of our infrastructure.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
IBM Cloud Databases is being used across my entire organization. I enjoy using the product but there are definitely areas for IBM Cloud to improve. Definitely very little documentation, and not enough examples across the web that support IBM Cloud, therefore, making it harder for smaller companies such as ours to use this product. When first beginning with IBM Cloud, it took us several weeks on the support page to get a good response on simple things that other cloud services would have already solved.
Score 8 out of 10
Vetted Review
ResellerIncentivized
We use IBM Cloud Databases as the core for transactions for our applications, which, in turn, are sold as SaaS. Postgres as a service helps us to focus on our product, reducing maintenance and administration costs and availability.
December 07, 2019

IBM Compose Shines

Mohib Hassan | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use it for our low-traffic cloud data warehousing and reporting on our HRM product. Using Compose made it relatively simple to scale up and down as per traffic. Also the pricing was quite cheap.

Provides a low-cost solution where we can place our data warehouses for multiple products. Tied in with Watson Studio it provides great utility for our data scientists.
Score 6 out of 10
Vetted Review
Verified User
Incentivized
Currently, we are using Mlab for our products. Hence we are looking for alternatives as it's moving to MongoDB atlas. The price structure with IBM seems quite suitable for us as we are still a growing company. At the same time, we are looking for easy integration between Redis and elastic search with IBM cloud databases for our product development. Hence, we start to research and experimenting between IBM Cloud Database and other providers.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We are using IBM Cloud Databases across different departments. Currently, it's mainly used for POCs and to implement Cloud-Native architecture. We are using Cloudant and PostgreSQL. IBM Cloud Databases provide us easy to use redundancy and point in time recovery.
Jon Tara | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
IBM Cloud Databases is used (along with IBM Cloud Object Store) as part of a backend system supporting client, eGrove Education Inc.'s, mobile app which helps high school and college STEM students develop their spatial visualization skills through automatically-graded free-hand sketching in a mobile app.

A CloudFoundry app uses IBM Cloud Databases as a synchronization source/sink and system of record for assigned material (both text and media blob data), course rosters, grading results, etc. (Because of the volume of student-produced sketches, student sketches are stored in Cloud Object Store).
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We use it to easily manage our Mongo hosting and navigate through data. It is primarily used by our development department. When customer service issues can not be addressed through our admin interfaces, we use Compose to easily change or add data. Compose also provides a solution that bills simply and offers Mongo hosting with limited set up.
February 23, 2019

Compose Review

Joshua Dickson | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Incentivized
We use Compose extensively to host our application's database layer which is implemented in MongoDB. MongoDB from Compose helps us in two ways: first of all, it removed significant overhead in having to think about monitoring and maintaining our database systems. Compose also has excellent GIU tools (though they can be a bit slow with large queries) for working with MongoDB.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
IMB Compose(at that time Compose.io) was being used as a MongoDB infrastructure. At the time, it was one of the few Mongo services that offered an affordable cluster that included features needed by real-time applications. By using IBM Compose, I was able to easily set up a Mongo cluster and not worry about maintenance or server ops. It was as simple as setting a few options and copying information into my application's configuration.
Nicolas Deverge | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Compose is used to host our main database for our software, called TeamMood, which is a Saas for managers wanting to have a better understanding of what's going on in their teams. Compose stores and serves our customers all over the world.
Alfred Reinold Baudisch | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We were using Compose PostgreSQL and Compose Redis as the data source for all of our stack. We have a messaging sequencer platform, a bot engine platform and Compose Redis was used as a session store and message sequencer and PostgreSQL as the transactional and permanent store.
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