Db2 Warehouse Overview

Making analytics secure, collaborative, and real-time across any cloud

Our cloud-native data warehouse is built on IBM® Db2® expertise in data governance and security, responsible data sharing, advanced in-memory processing at massive scale. From a single platform data engineers and data scientists can analyze and predict business outcomes across a variety of data sources. Whether your data is unstructured, or resides in your data lake, it is when analytical data is unified, accessible and scalable that you can speed decision-making and innovation across your organization.

Illustration showing relationship between employee, data analysis and database warehouse

IBM Db2 Warehouse and machine learning with Apache Spark (09:06)

Why IBM Db2 Warehouse?

Enable real-time decisions

Connect dashboards and reports with the power of fast ingest and querying for real-time insights.

Manage costs at scale

Enable high performance and cost predictability with elastic scale and a cloud-native architecture based on object storage.

Collaborate responsibly

Encrypt, secure and share governed data across your organization, third parties and cloud providers.

A single platform for your data needs

Real-time analytics

Real-time analytics

Empower users that demand low-latency querying and real-time insights with continual data ingest, in-memory processing and in-database analytics.

Machine learning and AI

Machine learning and AI

Create and predict with high-performance machine learning models inside your data warehouse. Integrate with IBM Watson® Studio for additional ML capabilities.

Reporting and business intelligence

Reporting and business intelligence

Build reports and dashboards quickly by seamlessly integrating Db2 with a variety of BI tools including IBM Cognos® Analytics, Tableau, Microsoft PowerBI, Google Looker and more.

Secure data sharing

Secure data sharing

Grant access and distribute data among users and third parties without data duplication. Integrate with IBM Watson Knowledge Catalog for additional data governance, quality, and compliance.

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

Screenshot showing number of hardware issues, software issues, database alerts, and storage usage and the database time breakdown

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

Screenshot showing the time breakdown of SQL execution, input/output, lock waits and other processing

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

Screenshot showing the Spark analytics choices, such as using Jupyter Notebooks, developing Spark application code and running Spark applications

Spark analytics

Db2 Warehouse offers multiple choices for Sparks analytics, including Juypter Notebooks, developing application code and running Spark applications.

R analytics

Screenshot showing R analytics choices, such as writing R scripts, developing applications that run R code and R packages

R analytics

RStudio is integrated so you can develop applications that run R code and R packages.

Resources

Training and tutorials

Db2 Warehouse interactive product tour

Take a short tour of Db2 Warehouse, including the web interface. Create and explore a new table within an existing schema.

Documentation & support

Documentation

Find answers quickly in IBM product documentation.

Community

Get technical tips and insights from others who use the product.

Support

See the latest support information for new or changed features and functions.

Frequently asked questions

Find licensing and support information at a glance.

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