Compare the Top IoT Analytics Software that integrates with Snowflake as of October 2025

This a list of IoT Analytics software that integrates with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.

What is IoT Analytics Software for Snowflake?

IoT analytics software enables organizations to view, monitor, and analyze data collected from IoT devices and machines. IoT analytics software allow companies to understand what's happening with their IoT infrastructure by collecting IoT sensor data. Compare and read user reviews of the best IoT Analytics software for Snowflake currently available using the table below. This list is updated regularly.

  • 1
    Datadog

    Datadog

    Datadog

    Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
    Leader badge
    Starting Price: $15.00/host/month
  • 2
    Knowi

    Knowi

    Knowi

    Business Intelligence, AI & NLP for anyone to make data-driven decisions. Knowi instantly transforms any data into insights and data driven actions. No ETL. No ODBC drivers. You just connect your datasources and start building queries. Simple as that. Create blended datasets by joining data from NoSQL, SQL, REST-API, and even file-based sources in a matter of minutes. Click. Done. We've combined the power of AI and natural language queries to deliver a new self-service BI experience that makes it easier for anyone to find and expose new insights. Today's data is big and messy and located all over the place. To analyze modern data, you need an business intelligence solution that can instantly connect to any data, structured or unstructured, without the hassle and expense of moving or transforming it. Knowi is the only full stack analytics platform that natively integrates to all the popular NoSQL data stores, as well as relational and Cloud APIs sources.
  • 3
    Qrvey

    Qrvey

    Qrvey

    Qrvey pioneered multi-tenant self-service analytics for SaaS companies and now leads the evolution toward AI-driven, autonomous analytics. With over 20 years of experience, we provide industry-leading guidance and support, ensuring our clients achieve their analytics goals. Qrvey is the partner of choice for SaaS leaders bringing AI-driven insight to their customers. About Qrvey Platform Qrvey is the embedded analytics platform designed specifically for SaaS companies. Qrvey offers insight, agility and growth. Insight for your customers · True self-service with unlimited customization · AI-driven insights · No-code workflow automation Agility for your product team · End-to-end embedded analytics platform · Native multi-tenant security · Flexible multi-cloud deployments Growth for your business · Flat-rate pricing for scale · Unmatched monetization opportunities · Embedded services
  • 4
    AWS IoT SiteWise
    AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize, and monitor data from industrial equipment at scale to help you make better, data-driven decisions. You can use AWS IoT SiteWise to monitor operations across facilities, quickly compute common industrial performance metrics, and create applications that analyze industrial equipment data to prevent costly equipment issues and reduce gaps in production. This allows you to collect data consistently across devices, identify issues with remote monitoring more quickly, and improve multi-site processes with centralized data. Today, getting performance metrics from industrial equipment is challenging because data is often locked into proprietary on-premises data stores and typically requires specialized expertise to retrieve and place in a format that is useful for analysis. AWS IoT SiteWise simplifies this process by providing software running on a gateway that resides in your facilities.
    Starting Price: $0.00041667
  • 5
    Reekoh

    Reekoh

    Reekoh

    Make your asset, operational and business data interoperable using one platform. We empower enterprises across all industry segments with capabilities to reduce complexity, remove barriers and accelerate time-to-value in their integrated solutions, uniquely bringing together Physical (IoT/IIoT/OT) and Application (IT) data. Securely manage OT, IoT, IIoT and business app data ingestion from across disparate and fragmented systems, protocols, networks and data formats. Enrich contextual data, manage metadata, perform transformation and utilsie data mapping to work with common data models and schemas. Integrate data to various endpoints for application and process logic, storage and data analysis, as well as physical and digital automation. Reekoh Accelerate™ is a hybrid integration platform that powerfully treats data from physical and digital assets as first class citizens. It provides a secure and agile toolset for device and data management, business workflow and automation.
  • 6
    Foghub

    Foghub

    Foghub

    Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross-platform, open architecture, edge computing for industrial time-series data. Foghub offers the Critical-Path to IT/OT convergence, connecting Operations (Sensors, Devices, and Systems) with Business (People, Processes, and Applications), enabling automated data acquisition, data engineering, transformations, advanced analytics and ML. Handle large variety, volume, and velocity of industrial data with out-of-the-box support for all data types, most popular industrial network protocols, OT/lab systems, and databases. Easily automate the collection of data about your production runs, batches, parts, cycle-times, process parameters, asset condition, performance, health, utilities, consumables as well as operators and their performance. Designed for scale, Foghub offers a comprehensive set of capabilities to handle large volumes and velocity of data.
  • Previous
  • You're on page 1
  • Next