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SQLstream solves challenges of wrangling, analyzing, and acting upon IoT data in real time

Capitalizing on the richness of IoT data is enthralling, but in order to yield actionable insight, data needs to be collected, ingested, analyzed, and pushed into action in concurrently, 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.

the challenges of wrangling, analyzing, and acting upon IoT data in real time

Real-time IoT data wrangling

Too many data sources, too far apart
Collection and data transport not secure
Too many data formats
Variable bandwidth conditions
Data volumes too volatile
Volume too high for real-time responsiveness
Not all data is relevant
Interruptions

Streaming IoT data analytics

Results take too long
Results are not easy to access
Results are confined to a specialized crew
Development takes a long time
Development is dependent on skill sets
Data manipulation cannot be done on-the-fly

Real-time, third-party integrations

Visualizations are not real-time
Visualizations are not customizable
Insight cannot trigger alerts
Insight cannot trigger automated actions
Consumer-facing interactions are delayed

our solution

A full-cycle IoT data processing platform

SQLstream Blaze supports IoT stream processing at all levels of the data cycle through a SQL-based data wrangling, streaming analytics and automated actions platform that is easy to use by developers and analysts alike.

SQLstream Blaze 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 Use cases

IoT applications include all-things-smart:

energy spending/efficiency
water and waste management
remote control systems
art preservation

IoT lifestyle applications include all-things-smart:

content consumption
fitness
fashion
pet care
travel

IoT environmental applications include:

forest fire detection
air pollution
snow level monitoring
landslide and avalanche prediction
earthquake early detection

IoT water monitoring applications include:

tap water quality management
chemical leakage detection
sea pollution monitoring
water leakage/waste detection
flood prevention

IoT physical security applications include:

perimeter security control
radiation and hazardous substances monitoring and control
liquid detection

IoT smart agriculture applications include:

soil humidity and pest monitoring
greenhouse networks
offspring care
animal tracking
weather station control

Smart logistics and industrial control applications include:

quality of shipment conditions
item and storage incompatibility detection
fleet tracking
vehicle and machine autodiagnosis
air/temperature/ozone monitoring

Case study: real-time sensor network for real-time traffic control

Roads and Maritime Services (RMS) is the Australian government agency responsible for managing transportation and delivering customer- focused services, in a cost-effective manner, to people who use roads, harbors and waterways- in total, over 2 Million travelers in the New South Wales region.

When population and business sector growth in Sydney has led to a sharp increase in road network congestion (threatening with financial losses upwards of $4B), the agency realized that traditional traffic monitoring platforms would not deliver significant or cost-effective reductions.

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