Why Choose Quasar as Your IoT Waveform Database
- Are you looking for an IoT database for sensor data?
- Do you use waveform data in your IoT applications?
- Are you struggling with ingesting and storing an enormous amount of data?
- Does data lag prevent you from generating timely, actionable insights for predictive maintenance?
- Do you need real-time data analytics such as Fast Fourier transform or wavelet analysis?
If you encounter any of those issues mentioned above, here are the top 5 reasons why Quasar is your ideal real-time data solution for capturing and analyzing high-volume IoT waveform data:
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1. Storage cost divided by 20
Thanks to the industry-proven, patented compression algorithms, Quasar compresses the data faster than it arrives, significantly reducing disk usage while enabling fast queries.
2. No data lag
Achieved through a real-time AI engine, Quasar has a track record of handling large data sets and delivering sub-second complex data analytics for waveform data. This real-time capability empowers data scientists to identify typical patterns before a problem arises.
3. High-resolution data increases prediction accuracy
With the help of unlimited ingestion capabilities, Quasar can capture full-resolution waveform data in real-time, instead of data with a reduced sampling rate. This unique capability dramatically increases the prediction accuracy.
4. Real-time data analytics
In addition to data compression and unlimited ingestion capabilities, Quasar also offers real-time data analytics during the ingestion and query processes, which leads to significantly increased efficiency and reduced data storage.
5. Quick deployment
Quasar supports SQL queries, a native Python interface, and all the standards your business depends on, which makes it easier for industrial engineers and analysts to access and analyze data without requiring specialized programming skills.
