GitHub Enterprise Server 3.6 is now generally available.
InfluxData has joined the PTC Partner Network.
Joining the PTC Partner Network and integrating its platform with the ThingWorx industrial innovation platform will enable InfluxData to simplify the developer experience for IoT developers using the ThingWorx platform, allowing them to deliver their applications and solutions faster.
As part of the PTC Partner Network, InfluxData will be discoverable and accessible via the ThingWorx Marketplace, making it easier for developers to discover and use InfluxData’s time series data platform in their IoT applications. This will allow developers to easily store, analyze, and act on IoT data in real-time. For more information, see: https://www.influxdata.com/integration/ptc-thingworx/
“Fundamentally, all sensor data is time series data,” said Brian Mullen, VP of Business Development at InfluxData. “Any meaningful IoT application should be accompanied by a data platform built specifically for that purpose. With this in mind, we are excited to partner with PTC to make InfluxData more compatible with the ThingWorx industrial innovation platform. We are solving the time series data challenge for IoT developers so they can focus on their primary objective of building applications.”
“One of the goals of the PTC Partner Network is to assemble a lineup of helpful, specialized tools that enable customers to accelerate the development of their IoT applications,” said Kevin O’Brien, SVP, ThingWorx Partner Sales & Alliances, PTC. “We are excited to welcome InfluxData to our program. They share our focus on the IoT developer experience and we look forward to working with them.”
Now ThingWorx customers can use InfluxData to more quickly build:
- Monitoring, alerting and notification applications for ThingWorx-connected devices and sensors
- IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
- Real-time analytics applications that are focused on streaming data and anomaly detection
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