ScyllaDB NoSQL for Industrial Automation and IoT

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Optimal Blend of Speed, Efficiency and Scale

Devices, vehicles, and machines are increasingly connected and streaming massive volumes of events and data. By some estimates, the Internet of Things generates 5 quintillion bytes of data each day. To monitor and analyze all this data in real time, IoT platforms need an optimal blend of speed, efficiency and scale, along with flexible data modeling that supports time-series events.

Advantages of ScyllaDB NoSQL for Industrial Automation and IoT

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Real-time Event Processing

ScyllaDB’s consistent low latencies enable IoT systems to process billions of events in real time, without the lags that burden other databases.

Predictable Performance at Scale

High throughput ingest and predictable performance support ever-increasing events and data streams at global scale.

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Cross-regional Data Replication

Cross-regional data replication from the edge to the clouds places storage close to globally distributed IoT operations, providing high availability and data resilience.

Lower TCO

Optimal hardware utilization, minimal operational overhead, and support for heterogeneous workloads combine to deliver significantly lower total cost of ownership.

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Industrial Automation and IoT NoSQL Use Cases

Predictive Maintenance

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Aggregate sensor data from industrial machinery and enable real-time analytics at scale to target maintenance and upgrades before failures and outages occur.

Real-time Analytics

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Run heterogenous operational and analytics workloads in real time against the same dataset in a single distributed datastore.

Asset Tracking

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Minimize loss, damage, and theft with real-time streaming geolocation data, across transportation, healthcare, agriculture, industrial, retail, and consumer markets.

Time Series Data

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Leverage native time-series data at an industrial scale, with a highly reliable and performant backend database that scales as your data grows.

Supply Chain

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Track multi-modal movement of goods around the globe, while monitoring storage conditions and ensuring provenance and chain-of-custody.

Industrial Automation and IoT NoSQL Case Studies

Meshify develops electronic device management software for cross-platform measurement, monitoring, and control, enabling the insurance industry to leverage IoT to prevent failures and losses. Meshify chose ScyllaDB over MySQL and Cassandra to achieve predictable low latency and performance, the ability to scale as more sensors are deployed, and to significantly reduce TCO.
Case Study
By delivering real-time insights and historical analytics about the condition of machines on the manufacturing floor, Augury helps their customers perform the right maintenance at the right time. Having quickly hit the performance and scaling limits of MongoDB, Augury runs ScyllaDB for operational workloads with millisecond queries that drive visualizations and APIs over time-series data. Augury also runs analytics workloads against the same dataset, significantly reducing management overhead.
Case Study
TellusLabs builds a living map of the world’s food supply by combining satellite feeds with meteorological data to track crop health, predict yields, and translate raw data into vital signs for global agriculture. They chose ScyllaDB for its high performance, autonomous tuning, and optimal utilization of hardware.
Case Study
HID Location Services, powered by Bluvision, provides both – real-time visibility and actionable data on equipment, people, and processes. Bluvision use ScyllaDB Cloud for its IoT, time series, predictive monitoring, real-time analytics, and geo-location workloads.
Nexar's mission is to make the roads safer for everyone by reducing the number of automobile collisions. Using a Nexar-powered dashcam, AI and inter-vehicle networking makes every car a smart car. Nexar is building its new IoT platform with real-time analytics on ScyllaDB Cloud.
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