Data lake solutions and IBM

A data lakehouse is an evolution in analytic data repositories that supports acquisition to refinement, delivery, and storage with open data and open table formats. This can help you drive new insights, better predictions, and improved optimization. Unlike traditional data warehouses, data lakes can process video, audio, logs, texts, social media, sensor data and documents to power apps, analytics, and AI. 

A data lakehouse is an evolution in analytic data repository that supports acquisition to refinement, delivery, and storage with open table and format. IBM enables you to get more from your existing investment in data warehouses and data lakes, and supports the building of data lakehouses to a larger variety of data for increased flexibility.  Data lakes can be built as part of a data fabric architecture to provide the right data, at the right time, regardless of where it is resides. 

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What is a data lake? (05:17)


Improve customer experience

Understand and anticipate customer behaviors with complete, governed insights.

Streamline operations

Spot patterns and trends to reduce waste and overhead through diverse analytic and AI techniques.

Manage governance, risk, and compliance

Promote auditability and transparency with metadata-powered, native data access in a governed data lake.

Increase agility and productivity

Speed time to value with self-service data exploration and discovery for any user.

Unify users, tools, and repositories

Increase collaboration, and reduce the time and cost of managing disparate systems and tools in an integrated environment.

Harness the power of open source and existing skills

Turn your open-source and ecosystem investments into innovation opportunities with enterprise-ready secure data lakes.


Core technology for high-value use cases

Reuse the data lake for 360° customer and operational intelligence, governance, and risk and compliance reporting.

End-to-end data management

Ingest and integrate with transactional, operational, and analytical data to promote a complete insight.

Flexibility to handle analytic and AI needs

Extend a data fabric to provide right data at the right time on a common foundation for staging, storage and access.

Handle metadata, queries, and data curation

Build and maintain a data foundation that powers data cataloging, curation, exploration, and discovery needs.

Scale with access to virtually any data

Take a hybrid, multicloud approach to access any data from any locations from years of records to real-time data.

Ease of extending your data warehouse

Integrate and expand analytics across multiple data repositories to drive innovation and optimization at scale.


Enterprise-ready from day one

Rely on scale, security, resiliency, and flexibility of IBM data lakes that helps run the world’s most mission-critical environments.

Simplify procurement deployment

Enjoy a one-stop shop at IBM including support, IBM ecosystem, and open-source tooling.

World-class data and AI innovation and experience

Partner with IBM industry experts who have in-depth experience and know-hows in successful deployments.


The IBM data lake approach

IBM takes a cloud-based, open approach to our data lake solution, building on these principles:

Embedded governance

Secure data sharing is crucial when multiple teams access enterprise data. You can rely on a data lake governance that houses raw structured and unstructured data — trusted, secured, and governed — with automated privacy and security anywhere. 

Automated integration

Data integration tools that combine data from disparate sources into valuable data sets. Tools such as ETL, data replication, and data virtualization can extract large volumes of data from source systems and load it to a data warehouse or cloud source.


Traditional integrations struggle to connect app to object stores. Data is often moved from the data lake to a costly data warehouse, but with the data virtualization of Watson Query, you can query data directly in the data lake without duplication or movement.

Case study

ING Bank carries out its data fabric vision

ING’s centralized governed data lake seemed to serve its organizational and regulatory needs — but their Chief AI Architect wanted more out of this business-critical environment. The amount of manual work, the number of subject matter experts, and the associated maintenance costs became inhibitors to getting more data into the data lake.

Partner spotlight

Better together: Cloudera and IBM

Cloudera and IBM work together to help you build a data lake for analytics and AI. You can collect, store, govern and secure raw data from across your business anywhere on premises or on any cloud.  Cloudera Data Platform is available through a one-stop shop at IBM to help you simplify licensing, procurement, support and deployment.

Data lake use cases

Financial services

Improve customer targeting, make better informed underwriting decisions and provide better claims management while mitigating risk and fraud.


Improve direct patient care, the customer experience, and administrative, insurance and payment processing while responding quicker to emerging diseases.

Communications service providers

Optimize network monitoring, management and performance to help mitigate risk and reduce costs and improve customer targeting and service.

Data lake resources

Connect more data

Integrate a data lake into your data management strategy to generate new insights from more data types and sources.

A robust, governed data lake for AI

Explore the storage and governance technologies needed for your data lake to deliver AI-ready data.

Data lake or data warehouse?

Learn the use cases that unite data lakes and data warehouses for better big data analytics from Ventana Research.

Data lake myths

Accelerate your research by exploring five myths about data lakes, such as "Hadoop is the only data lake."

Storage for your AI journey

Build high performance AI-optimized analytics solutions with new products from IBM Storage.

Get started

Set up a no-cost, one-on-one call with IBM to explore data lake solutions.