Founded in 2008, Cloudera is a platform for machine learning and analytics. Cloudera recently announced the launch of Cloudera Altus, a Platform-as-a-Service (PaaS) that aims it support large-scale data processing applications on public cloud.
Features and benefits of Altus include:
Charles Zedlewski, senior vice president of Products at Cloudera, says that data engineering workloads are foundational for today’s data-driven applications.
“Altus simplifies the process of building and running elastic data pipelines while preserving portability and making it easy to incorporate data engineering elements into more complex BI, data science and real-time applications,” Zedlewski continues.
Devin Deen, director of Data Analytics for New Zealand company enterprise IT, says, “science fiction has now become reality for Cloudera as they have realized their original vision of “Cloud-era” through Big-Data-as-a-Service in their first release of Altus.”
“This platform is perfect for organisations that need to run big data workloads on cloud-native infrastructure where end users can easily execute their data pipelines in streamlined workflows as they ramp up their advanced analytic capabilities. This is perfect for transient workloads, which are well-suited for cloud infrastructure-as-a-service capabilities,” adds Deen.
Deen continues, “Altus complements persistent Cloudera Hadoop clusters in AWS, or on premise, and enables hybrid cloud architectures allowing easy migration of Big Data applications between on-premise and cloud, making it the hallmark of true flexibility.”
The initial rollout of Cloudera Altus will support Apache Spark, Apache Hive on MapReduce2, and Hive on Spark.
It's available in most Amazon Web Services (AWS) regions.
“Customers are increasingly choosing AWS for their large-scale data processing workloads,” says Ken Chestnut, global segment lead, Amazon Web Services.
“The Altus service on AWS will make it easier for Cloudera customers to take advantage of the cloud with on-demand data processing and cost optimization through Amazon Elastic Compute Cloud (Amazon EC2) Spot Instances.”