The Internet of Things (IoT) analytics platform ParStream recently introduced what it claims to be the industry’s first analytics platform purpose-built for the speed and scale of the IoT.
Enabling an entirely new breed of analytics for the enterprise, the ParStream Analytics Platform is designed to easily scale to handle the massive volumes and high velocity of IoT data, said the company. It will help companies generate timely, actionable insights from IoT data by providing more innovative and efficient ways to analyse that data – faster, with greater flexibility and closer to the source. The analytics platform is powered by ParStream DB at its core.
The company’s patented database has consistently been recognised for industry-leading performance with sub-second query response times in analysing billions of rows of data. ParStream DB can analyse vast volumes of real time streaming data as well as historical data.
In addition to ParStream DB, the ParStream Analytics Platform includes:
- Geo-Distributed analytics to empower users to generate worldwide insights with remote data analysis and to qualify and resolve issues globally.
- Via ParStream’s Geo-Distributed Analytics Server, the querying engine enables local real-time analytics and storage close to the data source.
- Time Series analytics to enable enterprises to quickly analyse fast streaming data together with massive amounts of historical data.
- Alerts & Actions to monitor data streams, create and qualify alerts, and appropriately execute actions automatically or send notifications.
- Advanced analytics to derive models and hypothesis from huge amounts of data by applying statistical functions and analytical models. ParStream DB integrates with Knime, statistical libraries like R, and other machine learning engines.
- Visualisation Connect to enable the seamless integration of Datawatch, a leading visualisation tool for IoT analytics.
- Stream Connect/ETL Connect for the high-velocity ingestion needs of IoT, closely integrated with Informatica’s industry-leading collection tool, Vibe.
For companies that opt to use the ParStream Analytics Platform, rolling out their IoT applications will be twice as fast versus integrating components in-house from different vendors, claimed the company. Additionally, it is estimated that users will require 30 per cent less resources for testing and supporting applications, because the components are proven, fully tested, integrated and ready to address the needs of IoT.
The ParStream Analytics Platform is available immediately.
Image Credit: ParStream
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