StreamSets Announces Beta of StreamSets Cloud

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According to a new press release, “StreamSets, Inc., provider of the industry’s first DataOps platform for modern data integration, today opened pre-registration for the upcoming beta of the StreamSets® Cloud. With this new offering, data-driven businesses 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 with a Software-as-a-Service (SaaS) offering for designing and operating data pipelines.”

The release goes on, “StreamSets Cloud makes 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 the first platform-neutral service that combines StreamSets’ full life cycle approach to designing and operating smart data pipelines with all the benefits of a hosted cloud service: (1) Agility — A fully managed cloud service gets data to stakeholders faster with integrated, easy-to-use tools for designing and operating pipelines. (2) Flexibility — Pipelines can be executed anywhere — on premises or in the cloud. (3) Data confidence — Operationalized smart data pipelines are fully instrumented and data drift-tolerant. (4) Scalability — Built-in Kubernetes containerization and native cloud scaling reliably handle the largest workloads.”

Arvind Prabhakar, CTO of StreamSets, commented, “StreamSets has already proven its commitment to the cloud, with a number of SaaS solutions and support for cloud platforms… 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.”

Read more at Globe Newswire.

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