Build and Operate
Agile Data Movement Architectures

DataOps for Agile Data Movement

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.

DataOps Platform Overview

The StreamSets DataOps Platform simplifies how to build, execute, operate and protect enterprise data movement architectures. Built on an open source core with millions of downloads, 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.

DataOps: Applying DevOps to Data

DataOps Platform

StreamSets Control Hub

Centralized development, disciplined deployment and live monitoring of multi-pipeline topologies.

StreamSets Data Collector

Open source software for the design and execution of data pipelines.

StreamSets Data Collector Edge

Ultralight, at-scale data ingestion and analytics for edge systems.

StreamSets Dataflow Performance Manager

Operational visibility and control through Data SLAs.

StreamSets Data Protector

Discover, secure and govern sensitive data “in-flight” before it lands.

Key Platform Features

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.

Taming Data Drift: The Silent Killer of Data Integrity
Conquering Dataflow Chaos with Data Operations

Let your data flow

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