IBM and Cloudera, better together
Delivering enterprise data and analytic solutions from the edge to AI
Delivering enterprise data and analytic solutions from the edge to AI
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.
An enterprise data platform plus supporting products and services offers end-to-end solutions.
A commitment to open source-based products and solutions increases interoperability.
Self-service access connects data scientists to data quickly for real-time decisions.
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
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 enterprise data warehouse (EDW) data and extract, transform, load (ETL) workloads to a data lake for cost efficiencies.
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.
Enable edge management, control and monitoring at scale for your streaming and IoT initiatives.
Deliver high-scale data ingestion, transformation and management to enterprises from any-to-any environments.
Gain advanced messaging and streaming processing powered by Apache Kafka.
Accelerate data science and machine learning with an end-to-end solution for data exploration through model deployment.
Delivery, services and support
Develop and deploy advanced analytics applications more quickly with a single Hadoop and Spark cloud service.
Optimize your data environment with custom and as-a-service offerings to define your strategy, roadmaps and requirements.
Cut costs with IBM vendor-agnostic software support, covering community editions through complex software stacks.
Gain massively parallel processing (MPP) and advanced data query with an enterprise-grade, hybrid, ANSI-compliant, SQL-on-Hadoop engine.
Replicate data as it streams in, so files don’t need to be fully written or closed before transfer.
Build and train AI and machine learning models, plus prepare and analyze data in a flexible, hybrid cloud environment.
Learn about the potential cost and time savings you can gain with IBM multivendor support services.
Collaborate with those sharing expertise and resources in the IBM data management open source community.
Explore the storage and governance technologies needed for your data lake to deliver AI-ready data.
Engage with an expert one-on-one for 30 minutes at no cost.