easy-to-use stream processing for IoT
Combine raw data (sensor, network, transaction records, social media) and stored data (personal history, network and security data, demographics, research data) to provide real-time insight into the performance of sensors, consumer devices and industrial machinery. Optimize operations by maximizing efficiency and processing high volumes of data to detect system threats, monitor conditions and automatizing actions.
Case study: PRIMEX
Many IoT companies providing home connected devices are losing money due to the high cost of moving and managing data to the cloud. Primex found themselves in this situation, relying on a pay-as-you-go, serverless architecture that proved to be inefficient and expensive when deployed at Internet Scale on a continuous event stream.
SQLstream turned the tables by reimplementing their AWS Lambda functions as continuous SQL queries and reducing infrastructure and processing costs by 2/3rds, restoring Primex’s weather monitoring service to profitability.
Capitalizing on the richness of IoT data is compelling, but in order to yield actionable insight, data needs to be collected, ingested, analyzed, and pushed into action in continuously, and in real time. Building and managing a system able to support this kind of performance, productivity, and responsiveness is more often than not a non-secure, expensive, and slow exercise. And when the parameters change, it’s back to square one.
Guavus SQLstream supports IoT stream processing at all levels of the data lifecycle through a SQL-based data wrangling, streaming analytics and automated actions platform that is easy to use by developers and analysts alike.
Guavus SQLstream combines raw IoT data (sensor, network, transaction records, social media) and stored data (personal history, network and security data, demographics, research data) to optimize operations by detecting system threats, monitoring and integrating all processes in real time, and automatizing actions. In parallel, revenue can be increased through support of multiple applications, millions of users and subscription-based aggregated feeds.
IoT Financial Services applications include all-things-smart:
biometric-based authentication
smartwatch based banking
proximity-based messages to engage customers
smartphone payments
IoT transportation applications include all-things-smart:
safe-driver discounts based on driving behavior
environmental monitoring of cargo
smart intersections & traffic management
driverless car sensor processing
IoT retail applications include:
proximity-based messages to engage customers
price comparisons via smartphone
connect online and in-store shopping behavior
cashierless checkout
IoT Telecom applications include:
equipment monitoring
intrusion detection & security
environmental detection (fire, high winds, etc…)
smartphone payments
IoT physical security applications include:
IoT smart agriculture applications include:
Smart logistics and industrial control applications include:
IoT applications include all-things-smart:
IoT lifestyle applications include all-things-smart:
IoT environmental applications include:
IoT water monitoring applications include:
RELATED RESOURCE: Building a Streaming Application in minutes using GPS Data (DEMO)
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Guavus SQLstream is free to download and use up to 1GB/day (after which it throttles)
Guavus SQLstream’s mission is to make real-time stream analytics easy to use and own with a one-stop-shop solution that performs the best, has the widest footprint, never turns off, and can be developed and customized by data scientists and engineers alike.
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