SAS Analytics for IoT Description
This complete, AI-embedded solution allows you to access, organize, select, and transform IoT data. SAS Analytics for IoT provides a comprehensive, extensible ETL solution that covers the entire Internet of Things analytics cycle. It also features advanced analytics, a sensor-focused data modeling, advanced analytics, and a streaming execution engine that can perform multi-phase analysis. SAS Analytics for IoT runs in a distributed, fast-in-memory environment. Learn how to create SAS Event Stream Processing applications that ingest large volumes of high-velocity data streams and respond in real-time. This course teaches you the basics of event stream processing and what components are needed to create event stream processing apps. Our code is Curiosity. SAS analytics solutions transform data to intelligence, inspiring customers all over the globe to make bold discoveries that lead to progress.
SAS Analytics for IoT Alternatives
AWS IoT
There are billions upon billions of devices in homes and factories, as well as oil wells, hospitals, automobiles, and many other places. You will need to find solutions to connect these devices and store, analyze, and store device data. AWS offers a wide range of IoT services from the edge to cloud. AWS IoT is a cloud vendor that combines data management and rich analytics in simple to use services for noisy IoT data. AWS IoT provides services for all layers security, including encryption and access control to device information. It also offers a service that continuously monitors and audits configurations. AWS combines AI and IoT to make devices smarter. Cloud-based models can be created and deployed to devices 2x faster than other offerings.
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SkySpark
SkyFoundry's software solutions allow clients to get the most out of smart system investments. SkySpark's analytics platform automatically analyzes data from control systems, sensors, and metering systems to identify patterns, deviations, and opportunities for operational improvement and cost reduction. SkySpark assists building owners and operators to "find what matters" from the large amount of data generated by today's smart devices.
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Rayven
Rayven is a user-friendly SaaS platform that solves businesses' challenges with interoperability, real-time data, and app development - without the need to replace legacy systems, increase risk, or endure lengthy development times.
Combining iPaaS, Data, IoT, Workflow Automation, Analytics, BI, AI, App Development, and PaaS into one solution, Rayven makes system integration, real-time data processing, and custom app creation simple. It's designed to help you overcome complex business issues effortlessly.
With Rayven, you can:
- Connect any system, device, or data source
- Quickly create workflows and applications
- Add AI and automation, tailored to your needs, anywhere
Rayven is intuitive, fully compatible with any technology, and infinitely scalable. It optimises your existing tools, making real-time, AI-driven decision-making accessible to businesses of all sizes at an affordable price.
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Qrvey
Qrvey is the only solution for embedded analytics with a built-in data lake.
Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less software in-house.
Qrvey is built for SaaS companies that want to offer a better multi-tenant analytics experience.
Qrvey's solution offers:
- Built-in data lake powered by Elasticsearch
- A unified data pipeline to ingest and analyze any type of data
- The most embedded components - all JS, no iFrames
- Fully personalizable to offer personalized experiences to users
With Qrvey, you can build less software and deliver more value.
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Integrations
Company Details
Company:
SAS Institute
Headquarters:
United States
Website:
support.sas.com/en/software/analytics-for-iot-support.html
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Product Details
Platforms
SaaS
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
Online
SAS Analytics for IoT Features and Options
IoT Software
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
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