StreamSets Unveils Cloud-Native Service for Data Pipelines

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Multi-cloud DataOps platform provider StreamSets has announced the upcoming beta of its StreamSets Cloud solution. This SaaS offering would help organizations with the design, deployment and operations of data pipelines.

With this new offering, data-driven businesses would have an “easy-to-use” cloud service to design, deploy and operate smart pipelines for ingesting data into cloud data platforms, such as Snowflake, Azure Data Warehouse, Azure Data Lake Storage and Amazon S3. StreamSets Cloud is the company’s latest step forward in strengthening its commitment to the cloud and to DataOps practices.

StreamSets
“StreamSets Cloud is focused not just on developer productivity, but also on making operations far more efficient with fully instrumented pipelines, end-to-end monitoring and drift-handling,” said Jobi George, General Manager of StreamSets Cloud.

“StreamSets has already proven its commitment to the cloud, with a number of SaaS solutions and support for cloud platforms,” said Arvind Prabhakar, CTO of StreamSets. “With StreamSets Cloud, we’re doubling down on our commitment to delivering an easy-to-use, cloud-native service for designing, deploying and operating data pipelines. At the same time, we’re continuing to focus on promoting DataOps practices to help organizations deal with the speed, fragmentation and the pace of change associated with modern analytics.”

StreamSets Cloud would make it easy to create and manage smart data pipelines, enabling faster delivery of data without sacrificing data integrity and confidence. Designed for companies of all sizes that are adopting cloud data platforms, StreamSets Cloud is a platform-neutral service. It combines StreamSets’ full life cycle approach to designing and operating smart data pipelines with all the “benefits” of a hosted cloud service:

  • Agility – A fully managed cloud service would get data to stakeholders faster with integrated, easy-to-use tools for designing and operating pipelines.
  • Flexibility – Pipelines can be executed anywhere – on-premises or in the cloud.
  • Data confidence – Operationalized smart data pipelines are fully instrumented and data drift-tolerant.
  • Scalability – Built-in Kubernetes containerization and native cloud scaling would “reliably” handle the largest workloads.

StreamSets Cloud is focused not just on developer productivity, but also on making operations far more efficient with fully instrumented pipelines, end-to-end monitoring and drift-handling,” said Jobi George, General Manager of StreamSets Cloud. “Now, with smart data pipelines built for the modern, always-on and always-changing world, enterprises have the foundation for operationalizing the full data flow life cycle.”