StreamSets Embeds InfluxDB for Time Series Data Collection and Analysis for Multi-Pipeline Dataflows

Navigate to:

FOR IMMEDIATE RELEASE

Contact: Dan Spalding, InfluxData 408-960-9297 | [email protected] 

StreamSets Dataflow Performance Manager (DPM™) Now Ships with InfluxDB Embedded as Default Data Platform to Handle Time Series Workloads for Cloud-Native Data Movement

SAN  FRANCISCO – Dec. 20, 2018 – InfluxData, the modern open source platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced its inclusion in the  StreamSets DataOps platform.

StreamSets customers adopting StreamSets Dataflow Performance Manager (DPM) have two options featuring the InfluxData platform for handling time series data within either open source InfluxDB or InfluxDB Enterprise for projects requiring clustering. StreamSets DPM offers advanced dataflow management, including Data SLAs for availability, accuracy and data privacy; as well as tracking of historical performance across data pipeline versions. Together, InfluxData and StreamSets present a unique offering for provisioning, testing, and scaling complex dataflows, with optimized handling of time series data, which is a key component in cloud-native application infrastructure workloads.

“As enterprises continuously deploy and scale out their cloud-native architectures, there is a geometric increase in the variety of data sources and the volume of data in motion,” said Harikiran Nayak, Director of Engineering at StreamSets. “StreamSets enables companies to efficiently develop and operate data movement across multi-platform hybrid infrastructures, yet remain agile in the face of change. In InfluxData, we have integrated a first-class system to handle this relentless, ever-growing stream of time series data in order to maximize performance for our DPM users.”

The companies have entered into an OEM partnership agreement, in which StreamSets will distribute InfluxData products in specific editions of its platform, sold to customers around the world.

“At InfluxData, our focus is twofold – building the highest performance time series platform in the world and minimizing developers’ Time to Awesome,” said Brian Mullen, VP of Business Development at InfluxData. “StreamSets is single-handedly defining the DataOps market for enterprise data integration. We are thrilled to be working with their world-class product team to serve this massive market opportunity, bringing simplicity and performance for time series data to StreamSets developers.”

Learn more about the StreamSets DataOps Platform at https://streamsets.com/products/dataops-platform.

About StreamSets StreamSets built the industry’s first multi-cloud DataOps platform for modern data integration, helping enterprises to continuously flow big, streaming and traditional data to their data scientists and data-intensive applications. It uniquely handles data drift, those frequent and unexpected changes to data that break pipelines and damage data integrity. The platform combines the open source StreamSets Data Collector™ for execution of any-to-any pipelines (the data plane) with cloud-native StreamSets Control Hub for the design, monitoring and performance management of multi-pipeline topologies (the control plane). For more information, visit www.streamsets.com.

About InfluxData InfluxData, the creator of InfluxDB, delivers a modern open source platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 450 customers include CiscoeBay, IBM and Siemens. Visit www.influxdata.com. Twitter: @influxdb.

InfluxData, InfluxDB Cloud, InfluxDB, InfluxDB Enterprise, and Telegraf are all trademarked by InfluxData. All other trademarks are the property of their respective owners.