Software Alternatives, Accelerators & Startups

SAS Analytics for IoT

SAS Analytics for IoT is a powerful IoT analytics solution with embedded AI and industry-leading streaming capabilities that enables you to drive innovation, efficiencies and results by putting IoT analytics in users' hands.

SAS Analytics for IoT Alternatives

The best SAS Analytics for IoT alternatives based on verified products, community votes, reviews and other factors.
Filter: 3 Open-Source Alternatives Latest update:

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  2. 11

    Open source data platform for the Internet of Things. ThingSpeak Features

    Open Source

  3. Pyramid brings data prep, business analytics, and data science together into one frictionless business and decision intelligence platform that helps you deliver timely and effective decision-making.

    Try for free paid Free Trial

    Try for free
  4. 10

    Securely connect, integrate, analyze, build, and deploy innovative IoT solutions to gain business process efficiencies and data-driven insights with Oracle Internet of Things (IoT) technology.

  5. 10

    Axonize IoT platform - the smarter way to truly realize your IoT potential and create smart, scalable IoT projects to increase profitability.

  6. /aws-iot-analytics-alternatives
  7. /apache-iota-alternatives
  8. SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.

  9. VMware Pulse IoT Center is a secure, enterprise-grade IoT device management platform that improves the reliability & security of your IoT infrastructure. Free Trial.

  10. With SAP Leonardo, you can combine intelligent technologies – like the IoT, AI, and machine learning – and innovate with them on an open, extensible cloud platform.

  11. Decorate canvas, play with sound modes and customize for you

  12. Join over 100,000 hosts on wonder.

  13. A cloud service to capture and make sense of sensor data

  14. Evrythng IoT smart products platform connects consumer products to the Web and manages real-time data in the cloud to drive applications.

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