Edge devices and gateways are cheap, disposable, and not strategic. The data they gather and forward
Sensor data can be ingested, combined, shaped
Unlocking the value of data in your enterprise hinges on being able to gain real-time insight and instantly automate responses. Data pipelines are the key enablers to unlocking opportunities, spotting problems and extracting value from data.
Most pipelines sit in the cloud, forcing you to move data over great distances and analyze far from the source. Macrometa offers a superior alternative that lets you connect your IoT devices and sensors to our edge platform and create rich, real-time data pipelines without backhauling to the cloud. Our database, streaming and
Data ingested from mobile platforms like cellular phones, cars, bikes, and drones contain significant location attributes. Unfortunately, conventional cloud databases can't process location attributes such as latitude, longitude or altitude at a global scale.
Macrometa lets you process and query data with location attributes using geo-aware queries, understanding the relationships of distance and motion between objects and bounding regions called geo-fences. This lets you see in real-time the location of objects, proximity to each other, and calculate distance and intercept times for objects in motion.
One or more geo-fences can be queried to enumerate what objects are inside or outside of multiple bounding regions.
Macrometa's edge platform enables IoT solutions that take advantage of location, proximity and low latency to perform superior machine learning and deep learning enhanced applications.
By allowing ML/DL models to execute at the edge, complex time and cost operations like anomaly detection, fraud detection, and pattern recognition can all be performed milliseconds away from your IoT devices, sensors and customers.