Compare the Top IoT Analytics Software that integrates with SQL Server as of June 2025

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

What is IoT Analytics Software for SQL Server?

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 SQL Server currently available using the table below. This list is updated regularly.

  • 1
    Qrvey

    Qrvey

    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. Qrvey’s multi-tenant data lake includes: - Elasticsearch as the analytics engine - A unified data pipeline for ingestion and transformation - A complete semantic layer for simple user and data security integration Qrvey’s embedded visualizations support everything from: - standard dashboards and templates - self-service reporting - user-level personalization - individual dataset creation - data-driven workflow automation Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users. Less time and money on analytics
  • 2
    Visual KPI

    Visual KPI

    Transpara

    Real-time operations monitoring and data visualization, including KPIs, dashboards, trends, analytics, hierarchy and alerts. Aggregates all of your data sources (industrial, IoT, business, external, etc.) on the fly without moving the data, and displays it in real-time with obvious context on any device.
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