IBM Cloud Database Services

Unlock innovation with highly secure, fully-managed Database-as-a-Service capabilities on IBM Cloud®

Cloud database

Overview

IBM Cloud® Database solutions mean results

IBM Cloud® Database-as-a-Service (DBaaS) solutions deliver ready-to-use, highly available database instances, helping developers and IT teams focus on higher-value work. IBM manages database software, infrastructure operations, updates and backups.

Choose from a broad portfolio of relational and non-relational databases and integrations to build or migrate applications across industries. Flexible deployment options support structured and unstructured data while providing the scalability modern workloads require.

Features

Built for modern workloads

Support relational and non-relational databases for structured and unstructured data, including SQL, NoSQL, IoT and blockchain workloads. Connect with IBM Cloud services for compute, observability, identity and access management.

Team analyzing data

Focus on developing applications while IBM manages infrastructure operations, database software updates and backups. Deploy ready-to-use, highly available database services without adding operational complexity.

Team analyzing data

Scale database workloads with the flexibility and elasticity of IBM Cloud. Support evolving application requirements across cloud and hybrid environments while maintaining consistent performance and availability.

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Protect data in transit with Transport Layer Security and encrypt data at rest, including stored data and backups. Integrate with IBM Key Protect or IBM Cloud Hyper Protect Crypto Services for enhanced key management.

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Specifications

Available database services

IBM Cloud® Databases for PostgreSQL

A powerful, open-source object-relational database that is highly customizable with high availability, backup orchestration, point-in-time-recovery (PITR) and read replica with ease. 

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IBM Cloud® Databases for MySQL

Build mission-critical web applications that offer high performance with scalability and security. MySQL is de-facto standard for web applications and sites, part of LAMP Stack.

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IBM® Db2® on Cloud

A next generation transational database. Rely on a dedicated operations team, PITR, and high-availability disaster recovery (HADR) with multizone region support and independent scaling. 

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Databases for MongoDB

A NoSQL JSON document store with  a rich query and aggregation framework.

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Databases for Redis

The best in-memory database for ultra fast speed and throughput.

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Cloudant

A scalable NoSQL JSON document database for web,mobile, IoT and serverless applications, based  on Apache CouchDB.

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Databases for Elasticsearch

Go-to answer for search-driven, high data-volume storage and retrieval challenges Full-text Search, Vector Store.

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Event Streams

Event streaming platform built on open source Apache Kafka. It is available both as a fully managed service on IBM Cloud or on-premise as part of Event Automation.

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Messages for RabbitMQ

Highly robust & most widely deployed message broker(middleware), deployed in distributed systems.

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Use cases

Business applications

Operational applications

Operational applications leverage managed databases to handle daily businesses operations by capturing and storing real-time data on operational events, enabling effective decision-making. This approach is applicable across various industries, including logistics, transportation, banking and e-commerce.

Customer-facing digital experiences

Databases power real-time, user-centric applications such as mobile apps, web portals and personalized digital services. They support functions like user profiles, recommendation engines, session management and content delivery across industries such as retail, media, travel and financial services.

Analytical applications

Analytical applications dissect and analyze data to inform and drive business decision making across all data-driven industries. These applications are vital for tasks like pricing and packaging in e-commerce, planning and resource management in manufacturing, customer management and business intelligence in analytics, and IoT operations in logistics, among others.

AI and machine learning workloads

Managed databases serve as reliable, scalable data sources for training and operationalizing AI models. They store features, labels and inference outputs, enabling use cases such as predictive maintenance in manufacturing, fraud detection in banking, demand forecasting in retail and intelligent automation across many sectors.

Case studies

Real-world results

2mee Ltd.

IBM Cloud and IBM Garage™ helped 2mee augment human communication by projecting holographic images on digital devices.

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Take the next step

Get started on your journey to innovation with the complete portfolio of IBM Cloud® database services.

  1. Try IBM Cloud® databases