The AI-ready data warehouse for operational analytics
Elasticity combined with simplicity
IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. It is designed to be the ideal hybrid cloud solution when you must maintain control of your data but want cloud-like flexibility. With built-in machine learning, automated scaling, built-in analytics, and SMP and MPP processing, Db2 Warehouse enables you to bring AI to your business faster and easier.
Read the Aberdeen report: Why top companies use hybrid data warehouses
IBM Db2 Warehouse and machine learning with Apache Spark (09:06)
Benefits
Save time and resources
Deploy a pre-configured data warehouse in minutes on your supported infrastructure of choice with elastic scaling for easier updates and upgrades.
Extract fresh insights faster
Apply in-database analytics where the data resides, allowing enterprise AI to operate faster and more efficiently.
Gain flexible deployment
Write your application once and move that workload to the right location, whether public cloud, private cloud or on premises — with minimal or no changes required.
Db2 Warehouse in action
Customer stories
Nedbank Group
Nedbank Group
This South African bank turned to IBM Db2® Warehouse on Cloud to meet the increasing demand for analytics across its divisions and keep storage costs under control.
KONE Corp.
KONE Corp.
This elevator manufacturer stores sensor data on Db2 Warehouse on Cloud to help predict, identify and resolve issues, even before equipment breaks.
Constance Hotels, Resorts & Golf
Constance Hotels, Resorts & Golf
This company connects business data from its nine island resorts for unified insight using a cloud data warehouse and analytics architecture.
City Furniture
City Furniture
This retailer ensures that business-critical computer operations and customer data are protected against hurricane disruptions using Db2 Warehouse on Cloud.
Valor Holdings
Valor Holdings
This Japanese supermarket chain moved a database of over 10 billion transactions to Db2 Warehouse on Cloud, enabling high-performance analytics to support operations.
Features
Fast and simple hybrid data warehousing
Fast query processing
Apache Spark and IBM BLU® Acceleration in-memory SQL columnar processing with an MPP cluster architecture speed up complex queries and predictive model building, testing and deployment.
In-memory data processing
IBM BLU Acceleration eliminates the need for entire data sets and decompression in-memory. Includes pre-fetching of data and data skipping.
Automatic schema generation, data loading
In a few clicks, unstructured data — such as that from Twitter or geospatial programs — is automatically transformed into a structured format for analysis.
Common SQL engine
A common SQL analytics engine works across public and private clouds and on-premises data warehouses, so you can move workloads to the right location easily.
Compatibility with Db2, PDA and Oracle
Supported Db2 drivers and compatibility with Db2, PDA and Oracle accelerate migration. Deploy as a stand-alone cloud data warehouse, or integrate with an on-premises data warehouse.
Embedded Apache Spark engine
Db2 Warehouse and Spark deliver higher performance than Spark alone, providing a better data exploration experience.
Product images
Console dashboard
Console dashboard
The console dashboard gives you a view of hardware and software issues, database alerts, storage usage and a database time breakdown.
Monitoring overview
Monitoring overview
The monitoring overview shows the database time breakdown in more detail, including SQL execution, input/output, lock waits and other processing.
Spark analytics
Spark analytics
Db2 Warehouse offers multiple choices for Sparks analytics, including Juypter Notebooks, developing application code and running Spark applications.
R analytics
R analytics
RStudio is integrated so you can develop applications that run R code and R packages.
Resources
Documentation & support
Webinar
Use cases for a hybrid data warehouse
Hear from IDC and BPM Northwest experts on how a hybrid data warehouse architecture enables IT to regain control of data.
Additional resources
Cloud data management buyer’s guide
Distinguish between different cloud vendor offerings so you can make an informed choice.
Analyst report: Hybrid data warehouses
Learn from Aberdeen Group why top companies are seeing value with hybrid data warehousing.
Brief: Db2 Warehouse on Cloud
Learn how a fully managed, elastic data warehouse can reduce analytics costs while delivering deep insights.
Data sheet: IBM Common SQL Engine
Learn the benefits of IBM Common SQL Engine, which lets you write a query once and run it anywhere.
Related products
IBM Db2 Warehouse on Cloud
An elastic cloud data warehouse built for high-performance analytics
IBM Db2 Big SQL
An enterprise SQL-on-Hadoop engine for advanced big data queries