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Data lake solutions

   Drive smarter decisions by capitalizing on more data types from more data sources
   See data lake products 
   Book a consultation 
     * 01Overview
     * 02Benefits
     * 03Solutions
     * 04Use cases
     * 05Resources

   From raw data to AI

Collect, govern, manage, access and analyze big data

   Business users and data scientists need to derive insights from all your big data. You can help with a data management strategy that replaces data silos with agile, scalable solutions that can collect, store, govern and secure raw data from across your enterprise to make it ready for analysis.

   IBM data lake solutions combine cost-effective, enterprise-class open source technology, with a security-rich ecosystem of products, services and multivendor support. As a compliment to data warehouses or business intelligence solutions, data lakes from IBM offer a repository that can fuel machine learning and real-time advanced analytics in a collaborative environment. They support extremely large data volumes, collecting petabytes of structured, semi-structured and unstructured data from a variety of sources, including those previously untapped such as Internet of Things (IoT) devices and social media.

   Learn more about IBM data management leadership 
   What is a data lake? 

   What is a data lake? (05:17)

   Why IBM for data lake solutions

Enterprise-grade open source

   IBM is committed to open source technologies and the security, interoperability and data access they bring to advanced analytics.

   Explore open source at IBM 

Partnership with Cloudera

   Together, IBM and Cloudera provide a choice of integrated technologies to build, manage and use a data lake for data science at scale.

   View white paper (679 KB) 

Multivendor software support

   IBM offers a single point of contact, regardless of software edition. A Forrester Research study finds IBM clients can save as much as 25%.

   Read the study 

   Data lake solutions

   Step 1: Build a foundation

   On-premises, cloud or hybrid options

IBM® Power® Systems

   Simplify with a cloud data lake deployment or use IBM compute and storage to build out an on-premises data lake.

   See Power Systems 

IBM Spectrum® Scale

   Optimize your storage capacity while protecting and efficiently moving enterprise data in your hybrid environment.

   See data storage 

   Step 2: Manage and govern

   Accelerate results and improve accuracy

Security-rich, governed platform

   Optimize your data lake solution with an industry-leading, enterprise-grade big data platform offered by IBM and Cloudera.

   Explore the partnership 

Data lake governance

   Use time-tested data governance solutions that improve data quality, integration and security.

   See data lake governance 

   Step 3: Access and analyze

   Bring speed and AI to your data analysis

IBM Db2® Big SQL

   Use an enterprise-grade, hybrid, ANSI-compliant SQL engine to gain massively parallel processing and advanced data queries in your data lake.

   See Db2 Big SQL 

IBM Big Replicate

   Replicate data as it streams into your data lake so files do not need to be fully written or closed before transfer.

   See Big Replicate 

IBM Watson® Studio

   Build and train AI and machine learning models and prepare and analyze data from your data lake, all in a flexible hybrid cloud environment.

   See IBM Watson Studio 

   Data lake use cases

Financial services

   person at desk in front of laptop 

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

   Read the brief (492 KB) 


   medical personnel in surgery 

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

   Read the brief (1.3 MB) 

Communications service providers

   telephone towers 

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

   Read the brief (839 KB) 

   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.

   View the infographic (84 KB) 

Build a better data lake

   Learn how to build a better data lake with tips for choosing the technologies and tailoring it to the right users.

   Read the ebook 

Data lake or data warehouse?

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

   Register to watch 

Data lake myths

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

   Read more (97.3 KB) 

Storage for your AI journey

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

   Read the blog 

Big data with IBM and Cloudera

   Learn from IBM and Cloudera experts how you can connect your data lifecycle and accelerate your journey to hybrid cloud and AI.

   Watch the webinar 

   Other data management solutions


   Get high performance and scalable transactional processing with query optimization.


Data warehouses

   Explore on-premises, cloud and integrated appliance deployment options to support analytics.


Fast data solutions

   See real-time data ingestion and analytics for more than 250 billion events per day.


   Learn more

   What is big data analytics? 

   What is Hadoop? 

   What is Apache Spark? 

   What is a data mart? 

   What is a relational database? 

   What is ETL? 

Get started

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

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