A DataOps Platform for the
Continuous Dataflows that unleash pervasive intelligence
Continuous Data Movement in the Face of Change
DataOps empowers enterprises to create continuous data movement architectures that iterate in response to changes to data sources, infrastructure and analytics requirements. It overcomes the brittleness of traditional data integration tools, which were designed when data movement was simple and static.
Today’s fluid world requires a platform that supports agility StreamSets simplifies how to build, execute, operate and protect enterprise data movement architectures. Built on an open source core, it allows developers to design pipelines with a minimum of code, and operators to aggregate numerous dataflows into topologies, managing them centrally with live visibility, SLA-based performance and in-stream data protection.
Execute From Edge to Cluster to Cloud
Modern data movement spans many different types of systems and the future is clearly hybrid and multi-cloud for many companies. The StreamSets DataOps platform provides a unified data movement layer that can execute data movement across a broad array of systems, from IOT devices and edge systems to a variety of on-premises and cloud-based infrastructure options.
Dataflow Automation & Monitoring
Whether micro-batch or streaming, all data movement is becoming continuous in order to feed the insatiable demand for instant analysis and action. The StreamSets DataOps platform provides the necessary automation to deploy and scale dataflows combined with the monitoring to ensure that business requirements for data delivery are always being met
Data SLAs for Performance Management
In the same way applications have SLAs for user responsiveness and availability, the data that supplies critical analytics and operations must meet performance requirements to serve the business. The StreamSets DataOps platform provides the definition and enforcement of Data SLAs for availability, throughput and latency to ensure that data-driven processes always have the data they need.
Intelligent Pipelines for Data Drift Handling
Data drift is a critical obstacle to providing an agile and high-performing dataflow architecture. The StreamSets platform is uniquely architected with Intelligent Pipelines that inspect and learn from the data as it passes. This provides numerous benefits, such as automatic handling of data drift and detecting and securing sensitive data in-stream for improved regulatory compliance
Case Study | RingCentral
By leveraging StreamSets and Cloudera, RingCentral has addressed its 3 targeted initiatives, while also creating new capabilities and opportunities for product and solution innovation.