Best IoT Analytics Software for Snowflake

Find and compare the best IoT Analytics software for Snowflake in 2024

Use the comparison tool below to compare the top IoT Analytics software for Snowflake on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Qrvey Reviews
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    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.
  • 2
    Knowi Reviews
    Business Intelligence, AI & NLP are available to anyone who wants to make data-driven business decisions. Knowi instantly transforms data into insights and data-driven actions. No ETL. No ODBC drivers. Simply connect your datasources to start building queries. It's that simple. In a matter of minutes, you can create blended datasets by joining data sources from NoSQL and SQL, REST API, and even file-based sources. Click. Done. We have combined the power and natural language queries of AI to create a new self-service experience in BI that makes it easier to find and reveal new insights. The data we have today is large and scattered. A business intelligence solution is required to instantly connect to modern data. Knowi is the only full-stack analytics platform that integrates natively to all popular NoSQL data sources, as well as relational or Cloud APIs.
  • 3
    Datadog Reviews
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    Datadog

    Datadog

    $15.00/host/month
    7 Ratings
    Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.
  • 4
    AWS IoT SiteWise Reviews
    AWS IoT siteWise is a managed services that makes it easy for you to collect, store and organize data from industrial equipment at large scale. This will help you make better data-driven decisions. AWS IoT SiteWise can be used to monitor operations across facilities, quickly calculate common industrial performance metrics, create applications that analyze data from industrial equipment to prevent costly equipment problems and reduce production gaps. This allows you to collect consistent data across devices, identify remote monitoring issues more quickly, and improve multisite processes with centralized information. It is difficult to get performance metrics from industrial equipment today because data is often locked in proprietary on-premises data storages. This requires specialized expertise to retrieve the data and place it in a format that can be used for analysis. AWS IoT siteWise makes this easier by providing software that runs on a gateway located in your facility.
  • 5
    Reekoh Reviews
    Your asset, operational, and business data can be interoperable through one platform. Enterprises from all industries can be empowered with the ability to reduce complexity, remove obstacles and accelerate time-to value in their integrated solutions. We uniquely bring together Application (IT) and Physical (IoT/IIoT/OT). Securely manage OT and IIoT data ingestion across disparate and fragmented networks, protocols, data formats, and systems. To work with common data models, schemas, and metadata, enrich contextual data, manage metadata, perform data transformation, and utilsie data mapping. Integrate data to different endpoints for process and application logic, storage, data analysis, and physical and digital automation. Reekoh Accelerate™, a hybrid integration platform, treats data from both digital and physical assets as first-class citizens. It offers a secure and flexible toolset for data management, business workflow, and automation.
  • 6
    Foghub Reviews
    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 provides the Critical-Path for IT/OT convergence. It connects Operations (Sensors and Devices, and Systems) and Business (People, Processes and Applications). This allows automated data acquisition, transformations, advanced analytics, and ML. You can manage large volumes, velocity, and variety of industrial data with the out-of-the box support for all data types, most industrial network protocols, OT/lab system, and databases. Automate data collection about your production runs, batches and parts, as well as process parameters, asset condition, performance, utility costs, consumables, operators and their performance. Foghub is designed for scale and offers a wide range of capabilities to handle large volumes of data at high velocity.
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