IBM and Cloudera, better together
Delivering enterprise data and analytic solutions from the edge to AI
This 30-minute webinar will give you the tools you need for a simplified path to Cloudera Data Platform.
Overview
Better access, better analytics
IBM and Cloudera have partnered to offer an industry-leading, enterprise-grade Hadoop distribution plus an ecosystem of integrated products and services — all designed to help organizations achieve faster analytics at scale. As a part of this partnership, IBM provides (1) OEM and support of Cloudera products, (2) sell and support of Hortonworks products under a multiyear contract and (3) migration assistance to future Cloudera/Hortonworks unity products.
Advance AI
An enterprise data platform plus supporting products and services offers end-to-end solutions.
Accelerate innovation
A commitment to open source-based products and solutions increases interoperability.
Attain value faster
Self-service access connects data scientists to data quickly for real-time decisions.
Gain flexibility
On-premises, multicloud and hybrid options support secure data federation.
Cloudera Data Platform Private Cloud Plus with IBM offers powerful self-service analytics across hybrid environments
Use cases
Build a data lake
Build a better data lake
Build an enterprise data lake that has the proper level of data governance and security plus the analytic tools needed by data scientists to drive better data models, visualization and machine learning.
Meet AI challenges
Meet the growing challenges of AI
Access, collect and analyze data in new formats — streaming, call log and social media — from external and internal sources, on premises and in the cloud to promote machine learning and AI initiatives.
Offload EDW data
Offload EDW data and ETL workloads
Offload enterprise data warehouse (EDW) data and extract, transform, load (ETL) workloads to a data lake for cost efficiencies.
Featured product
Cloudera Data Platform Private Cloud with IBM
Perform integrated analytics from the edge to AI with a comprehensive on-premises platform that spans ingest, processing, analysis, experimentation and deployment. Optimized for deployment in the data center, this platform fuses the latest open source analytics technologies into a multifunction analytics and data management system.
IBM and Cloudera products
Cloudera Edge Management with IBM
Enable edge management, control and monitoring at scale for your streaming and IoT initiatives.
Cloudera Flow Management with IBM
Deliver high-scale data ingestion, transformation and management to enterprises from any-to-any environments.
Cloudera Data Platform Streaming Edition with IBM
Gain advanced messaging and streaming processing powered by Apache Kafka.
Cloudera Data Science Workbench with IBM
Accelerate data science and machine learning with an end-to-end solution for data exploration through model deployment.
Complementary solution products
Delivery, services and support
IBM Analytics Engine
Develop and deploy advanced analytics applications more quickly with a single Hadoop and Spark cloud service.
Big data and platform services
Optimize your data environment with custom and as-a-service offerings to define your strategy, roadmaps and requirements.
Multivendor open source support
Cut costs with IBM vendor-agnostic software support, covering community editions through complex software stacks.
IBM value-adds
IBM® Db2® Big SQL
Gain massively parallel processing (MPP) and advanced data query with an enterprise-grade, hybrid, ANSI-compliant, SQL-on-Hadoop engine.
IBM Big Replicate
Replicate data as it streams in, so files don’t need to be fully written or closed before transfer.
IBM Watson® Studio
Build and train AI and machine learning models, plus prepare and analyze data in a flexible, hybrid cloud environment.
Resources
Save time, money with multivendor support
Learn about the potential cost and time savings you can gain with IBM multivendor support services.
Team with open source experts
Collaborate with those sharing expertise and resources in the IBM data management open source community.
Build a data lake ready for AI
Explore the storage and governance technologies needed for your data lake to deliver AI-ready data.
Get started
Engage with an expert one-on-one for 30 minutes at no cost.