Why SingleStore for IoT Analytics?
As always-on devices and sensors proliferate, their data must be ingested and actionable in the moment. Their infrastructure behind each IoT application will be powered by a real-time database. SingleStore supports fast ingest and concurrent analytics for sensor systems, delivering instant actionable insights.
Streaming Data Ingest and Store
Collect and store multiple streams of data into a relational format for real-time or historical analysis, without relying on slow batch processing.
Proven Compatibility
ANSI SQL compliant with full data persistence improves data accuracy that works with existing business intelligence and middleware tools.
Unlimited Scale and Highly AvailableShared nothing architecture for scale out or up using industry standard hardware. Built-in resilience keeps the database online. Deploy on-premises, as-a-service or a hybrid of both.
Fast Query Response
Instantly discover anomalies or predict events in the moment with memory optimized standard SQL.
Lightning Fast Real-time Analytics on Large Datasets
Comcast can proactively diagnose potential issues from real-time intelligence and deliver the best possible video experience.
“We’re now able to aggregate statistics across the entire US as well as glue on to complex streams for complex analysis. We like to say we gave the gift [of SingleStore] to a lot of groups at Comcast.”
Read case studyChristopher Lintz
Senior Principal Architect at Comcast
Creating an IoT Kafka Pipeline in Under 5 Minutes
How Infiswift Supercharged Its Analytics for IoT & AI Applications
IoT at Global Scale: PowerStream Wind Farm Analytics with Spark
Creating an IoT Kafka Pipeline in Under Five Minutes
Infiswift Replaces MySQL and Supercharges IoT and AI Analytics
Accelerating Real-time IoT Analytics with IBM Cognos & SingleStore
Insite360 Uses SingleStore Pipelines to Deliver IoT in the Cloud – Case Study
