StreamSets Adds New Features to DataOps Platform
September 11, 2018

StreamSets announced innovations that help companies efficiently build and continuously operate dataflows that span their data center and leading cloud platforms — AWS, Microsoft Azure and Google Cloud Platform.

New capabilities include data drift handling for cloud data stores for improved pipeline resiliency, continuous integration and delivery (CI/CD) automation that brings DevOps-style agility to dataflow pipelines, and the ability to centrally manage in-stream data protection policies for security and compliance.

These features build on StreamSets DataOps Platform’s rich catalog of cloud connectors, its cloud-native architecture for easy cross-platform deployment, and its ability to elastically scale dataflows via Kubernetes.

Features such as data drift handling and in-stream data protection are powered by StreamSets’ unique Intelligent Pipelines capability, which inspects and analyzes data in-flow, overcoming the lack of visibility common in traditional data integration and big data ingestion approaches.

A majority of StreamSets customers already use the StreamSets DataOps Platform for cloud dataflows, executing both “lift and shift” cloud migration projects that require peak throughput, and continuous real-time streaming of data.

“As our customers embark on their hybrid cloud journey, we see first-hand their struggle to orchestrate end-to-end management of data movement across a growing range of on-premises and cloud platforms,” said Arvind Prabhakar, CTO, StreamSets. “Our DataOps platform was architected as cloud-native from the start, allowing us to easily evolve with the market. Cloud drift-handling and CI/CD for dataflows are unique enhancements that help our customers on their journey from traditional to modern data integration based on DataOps.“

The expansion of data architectures into the cloud creates challenges for enterprises that still rely on traditional data integration software or single-purpose big data ingestion tools. Using these methods, pipelines take too long to build and deploy, and often rely on valuable, specialized developers. They are opaque, denying end-to-end visibility into pipeline performance to prevent failures or detect sensitive personal data in the dataflow. Finally, they are rigid, breaking whenever data drift occurs, such as when fields are added or changed or data platforms are upgraded.

With these new features, which began rolling out in late August, StreamSets DataOps Platform now offers:

- Development automation through a full-featured dataflow designer that includes “easy button” connectors for Amazon S3, Elastic MapReduce (EMR) and RedShift; Azure Data Lake Storage, HDInsight and Azure Databricks; Google DataProc and Snowflake

- Elastic scaling of cloud, multi-cloud and reverse hybrid cloud dataflows via Kubernetes

- New data drift handling, which automatically reflects updates to source schema in Amazon Athena, Azure SQL and Google BigQuery cloud data services

- A new CI/CD framework for automating frequent changes to dataflows through iterative design, test, validate and deployment steps

- New central governance of StreamSets Data Protector policies that detect and deal with sensitive data such as PII and PHI

Share this

Industry News

January 30, 2023

F5 announced the general availability of F5 NGINXaaS for Azure, an integrated solution co-developed by F5 and Microsoft that empowers enterprises to deliver secure, high-performance applications in the cloud.

January 30, 2023

Tenable announced Tenable Ventures, a corporate investment program.

January 26, 2023

Ubuntu Pro, Canonical’s comprehensive subscription for secure open source and compliance, is now generally available.

January 26, 2023

Mirantis, freeing developers to create their most valuable code, today announced that it has acquired the Santa Clara, California-based Shipa to add automated application discovery, operations, security, and observability to the Lens Kubernetes Platform.

January 25, 2023

SmartBear has integrated the powerful contract testing capabilities of PactFlow with SwaggerHub.

January 25, 2023

Venafi introduced TLS Protect for Kubernetes.

January 25, 2023

Tricentis announced the general availability of Tricentis Test Automation, a cloud-based test automation solution that simplifies test creation, orchestration, and scalable test execution for easier collaboration among QA teams and their business stakeholders and faster, higher-quality, and more durable releases of web-based applications and business processes.

January 24, 2023

Harness announced the acquisition of Propelo.

January 23, 2023

Couchbase announced its Couchbase Capella Database-as-a-Service (DBaaS) offering on Azure.

January 23, 2023

Mendix and Software Improvement Group (SIG) have announced the release of Mendix Quality & Security Management (QSM), a new cybersecurity solution that provides continuous deep-dive insights into security and code quality to immediately address risks and vulnerabilities.

January 23, 2023

Trunk announces the public launch of CI Analytics.

January 23, 2023

Panaya announced a new Partnership Program in response to ongoing growth within its partner network over the past year.

January 23, 2023

Cloudian closed $60 million in new funding, bringing the company’s total funding to $233 million.

January 19, 2023

Progress announced the R1 2023 release of Progress Telerik and Progress Kendo UI.

January 19, 2023

Wallarm announced the early release of the Wallarm API Leak Management solution, an enhanced API security technology designed to help organizations identify and remediate attacks exploiting leaked API keys and secrets, while providing on-going protection against hacks in the event of a leak.