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Database Solutions
Run your applications, analytics, and generative AI with databases on any cloud.
Why IBM Databases?
IBM Databases are designed to run your applications, analytics, and generative AI workloads across any cloud. Our portfolio of relational and NoSQL databases are designed to run all workloads, while maintaining performance and cost efficiency. We support open standards and integrations with our data platform, watsonx.data, and optimize price-performance for your use cases. Using AI, open-source technologies like Apache Iceberg, and native integrations, you can unify and share a single copy of data and metadata for analytics and AI across databases, all without the need for migration, re-cataloging or SQL usage.
Deploy across on-premises or any cloud, including IBM Cloud, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, providing like-for-like compatibility with your on-premises deployments and zero down-time of applications. Native integrations with our data fabric architecture and IBM watsonx™ enable a trusted data foundation to accelerate and scale AI, supported by automated lineage, metadata enrichment, governance and reproducibility of data.
Read the data leader’s guide for choosing the right database solutions for applications, analytics and artificial intelligence (AI).
Type
Use Cases
Solution
- Modernizing apps to SaaS
- New cloud-native apps
- CRM and ERP
- AI-based applications and assistants
- Lower Oracle TCO
IBM® Db2®
Available on IBM Cloud, AWS, Azure, GCP
- Open-source PostgreSQL, MySQL and EnterpriseDB-based applications that require enterprise versions as a fully managed service
- Data warehouse augmentation
- Data lake modernization
- Data sharing
- Generative Al-powered insights
- Real-time analytics and BI
- Operational analytics
- Mixed OLTP/OLAP workloads
- Vector database for retrieval augmented generation (RAG)
IBM watsonx.data
- Presto for SQL query
- Spark for analytics
- Milvus for vector embeddings
- Db2 Warehouse & Netezza for warehousing
Available on IBM Cloud, AWS, Azure, GCP
- Local database on hardware devices
- IoT applications
- DevOps
IBM® Informix®
Available on IBM Cloud, AWS, Azure, GCP
- Content management
- Catalogs
- Web and mobile apps
- User profiles
- App integration across diverse data sets for web and mobile apps and IOT devices
Databases for RabbitMQ
Available on IBM Cloud
- Cache for high-traffic mobile and web apps
- Store personal data for specific users
- Session management (e-commerce systems)
Databases for etcd
Available on IBM Cloud
- Location-based, geospatial applications
- Analytics on real-time data
Databases for Redis
Available on IBM Cloud
- Analysis of logs and machine-generated data from servers, sensors and web apps
- In-app search
Databases for Elasticsearch
Available on IBM Cloud
*Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
Our partner database services
Our database offerings are designed with open source technologies and built for open source compatibility to enable flexibility of data, table formats, query engines and open-governance, eliminating vendor lock-in and enabling portability of your data and workloads across the enterprise.
Take advantage of open source query engines like Presto and Spark, open source vector databases, Iceberg open table format and open data formats like Parquet, Avro and ORC, facilitating seamless sharing of data and metadata throughout your organization.
Learn more about the open source components of watsonx.data, Db2 Warehouse and Netezza.
SaaS and hybrid cloud database deployments
Access IBM databases as a fully managed service on multiple cloud providers, including IBM Cloud®, Amazon Web Services (AWS), including Amazon Relational Database Service (RDS) for Db2 (link resides outside ibm.com) and Azure. Automate database management tasks and gain control over scalability, high availability, continuous updates and cost-effective, consumption-based pricing in the cloud.
Deploy IBM databases as containers on cloud-managed Red Hat® OpenShift® or Kubernetes services available on AWS and Microsoft Azure cloud services.
Obtain IBM database software through traditional installation on either on-premises infrastructure or cloud-based infrastructure-as-a-service.
Case studies
Read how Georgia’s South Fulton Police Department uses watsonx.data open data lakehouse to automate data research and management, allowing more time for public service.
Learn how Owens-Illinois switched from Oracle to IBM Db2, resulting in seven-figure reductions in total cost of ownership and transactional workload response time improvements of at least 20% to 30%.
Discover Conestoga’s smooth transition from on-premises to the cloud with IBM Netezza Performance Server as a fully managed service.
Learn how Puma is supporting 400% more users with always-on, high availability and a scalable database using IBM® Db2® pureScale®.
Learn how the airline has delivered digital transformation and personalization for it’s passengers.
Concerned about proprietary formats and vendor lock-in on its single-cloud platform, Booking.com manages migrating its critical workloads, such as booking reservations and financial reports, to an open source cloud provider.
Resources
How to choose the right databases for applications, analytics and AI.
Learn how you can reduce your Oracle database costs with flexible licensing and pricing, scalability, and better price performance when moving from Oracle to Db2.
Read the most common misconceptions that cause companies to hesitate to move from on-premises data warehouses to a hybrid cloud database management strategy.
Learn what a relational database is, how it works and how it compares to other database options.
Scale AI workloads, for all your data, anywhere.
Tackling AI’s data challenges with IBM databases on AWS.
Footnotes
1 When comparing the published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors. Savings can vary depending on configurations, workloads and vendor.
2 IBM like-for-like on-premises compatibility when moving to SaaS or hybrid deployments. Data provided by Conestoga Wood Specialties that they experienced zero downtime or changes to applications when modernizing from Netezza on-premises to SaaS on AWS.
3 Data provided by Owen’s Illinois when migrating from Oracle to Db2.
