Big Data

Data Warehouse

Modernize your data warehouse architecture

What is data warehousing today?

The foundation of a modern data warehousing architecture is the Hybrid Data Warehouse. It is comprised of multiple data warehousing technologies and platforms so that the right workload is running on the right technology. From Hadoop to on-premises analytical engines to cloud- based data stores, the Hybrid Data Warehouse helps you support proactive decision making, reduce costs, streamline processes, and increase business user agility.

Explore a new breed of data warehouse in this Aberdeen Report: The Hybrid Data Warehouse, Fluid, Flexible, and Formidable.

Flexible

With multiple licensing and configuration options available, IBM has the flexibility to meet your data warehousing needs. It is also easy, cost effective, and fast to move the data to where it is best housed.

Adaptable

The ability to scale your data warehouse to meet your needs as your business changes and grows is critical - select a data warehouse that makes it possible.

Integrated

Integration goes beyond working well with legacy hardware; users must be liberated to work with the data types they choose in a language they are familiar with.

Data Warehousing Products

IBM's data warehouse products (formerly dashDB) provide the flexibility, adaptability, and integration necessary for you to have the freedom to address your business challenges in the manner best suited to your needs.

  • IBM Big SQL
  • IBM Db2 Warehouse
  • IBM PureData System for Analytics
  • IBM Industry Models

IBM Big SQL

One key capability is SQL querying and this is where IBM Big SQL comes in as a data virtualization tool that lets you access, query, and summarize data from any platform including databases, data warehouses, NoSQL databases, and more. Big SQL concurrently exploits Hive, HBase and Spark using a single database connection — even a single query.

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IBM Db2 Warehouse

IBM Db2 Warehouse (formerly IBM dashDB Local) is a client-managed, private cloud data warehouse for Docker container supported infrastructures.

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IBM PureData System for Analytics

A data appliance for analytics that helps simplify and optimize performance of data services for analytic applications.

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IBM Industry Models

Industry Models combine deep expertise and industry best practice in a usable form (“blueprint”) for both business and IT communities to accelerate industry solutions.

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