Teradata and Cloudera have deepened their business and technology relationship, tightening integration between Teradata's Data Warehouse with Cloudera's flavor of Hadoop and cross-selling each other's products. Teradata is best known for its massive data warehousing machines, while Intel-backed Cloudera is one of the leading Hadoop distribution providers for the enterprise market.
Additionally, Teradata launched a service that lets users run Hadoop in the cloud on Teradata infrastructure. The company also announced Loom, a software solution for metadata management on top of Hadoop and Teradata Cloud for Hadoop.
The partnership deepens software integration through a new set of connectors, linking Teradata’s Data Warehouse with Cloudera’s Enterprise Data Hub.
Teradata is reselling Cloudera, and Cloudera is reselling Teradata. The deal also means more training, customer support and consulting services for the integrated platform, each company offering training for the other’s products.
The two offerings are united under Teradata's Unified Data Architecture, a way of combining complementary data management platforms into an enterprise-ready data fabric.
“Data can move freely between the two, and that’s unlocking data processing capacity and analytic workloads that neither of us was able to take on solo,” wrote Cloudera Chief Strategy Officer Mike Olson. UDA is centered on Teradata's data warehouse, which includes workload management, enterprise security and data governance.
Cloudera said its Hadoop-based platform was the only compliance-ready platform on the market so far. “Customers who care about security, who need to live up to regulatory and legal obligations for privacy, access control and audit can, for the first time, get a full-spectrum solution,” Olson wrote.
Teradata is also integrated with Cloudera rival Hortonworks. Both Cloudera and Hortonworks are leading the enterprise Hadoop pack, and both recently raised significant rounds of venture capital.
Big Data Sees Big Action
Enterprise big data solutions are in high demand, the sector seeing a wealth of product and partnership activity as well as VC investment.
The Apache Hadoop ecosystem in particular has seen a lot of interest and activity since it was created eight years ago.
“Prior to the invention by Google of GFS and MapReduce, there was simply no way to ingest, store, manage, process and analyze petabyte-scale datasets on enterprise-scale budgets,” wrote Olson. Key Hadoop components came out of GFS and MapReduce.