Cloudera has launched Altus, a new PaaS offering aimed at making it easier to run large-scale data processing applications on public cloud. The initial Altus service helps data engineers use on-demand infrastructure to speed the creation and operation of elastic data pipelines that power sophisticated, data-driven applications.
According to Cloudera, data engineering applications like ETL or batch scoring are often large, batch-oriented workloads that run for a fixed period of time and help companies extract critical insights from raw data. Organizations can gain flexibility and efficiency advantages by running these workloads on elastic infrastructure but also want to leverage this cloud infrastructure alongside familiar data processing tools and technologies.
Data engineering workloads are foundational for today’s data-driven applications, according to Charles Zedlewski, senior vice president of Products at Cloudera. Altus, he noted, simplifies the process of building and running elastic data pipelines while preserving portability and helping to incorporate data engineering elements into more complex BI, data science and real-time applications.
The Cloudera Altus Data Engineering service is intended to simplify the development and operations of elastic data pipelines, putting data engineering jobs at the forefront, and abstracting infrastructure management and operations that can be both time consuming and complex. Altus also reduces the risk associated with cloud migrations, and provides users with familiar tools packaged in an open, unified, enterprise-grade platform service that delivers common storage, metadata, security, and management across multiple data engineering applications.
The initial rollout of Cloudera Altus includes support for Apache Spark, Apache Hive on MapReduce2, and Hive on Spark. It is available in most Amazon Web Services (AWS) regions. Over time, Cloudera also plans to expand Altus to support other public cloud services such as Microsoft Azure.
For more information or to review the reference architecture, visit www.cloudera.com/altus.