Best IoT Analytics Platforms

How Many IoT Analytics Platforms Products Does G2 Track?

Total Products under this Category: 211

Category Stats (Nov 2026)

  • Average Rating: 4.41/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: I-care Group (+2.72%) - Among all products in this category, I-care Group recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank IoT Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 3,100+ Authentic Reviews
  • 211+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for IoT Analytics Platforms

G2 Grid® for IoT Analytics Platforms plotting products by satisfaction and market presence

Highlighted products: Insights Hub, TagoIO, Rayven, Elastic Observability, Tractian, TrendMiner, AWS IoT SiteWise, and AWS IoT Analytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/iot-analytics-platforms/grids.json?focus%5B%5D=siemens-digital-industries-software-insights-hub&focus%5B%5D=tagoio&focus%5B%5D=rayven&focus%5B%5D=elastic-observability&focus%5B%5D=tractian-tractian&focus%5B%5D=trendminer&focus%5B%5D=aws-iot-sitewise&focus%5B%5D=aws-iot-analytics)

Insights Hub

Insights Hub is a solution for Data-Driven Manufacturing. It is designed to help users harness the power of data generated from assets and operations within smart manufacturing environments and implement a continuous improvement process. It leverages AI to transform raw data into actionable insights, enabling organizations to continuously enhance their manufacturing processes and make informed decisions that drive operational excellence. Targeted primarily at manufacturers and industrial operators, Insights Hub serves a diverse audience that includes equipment manufacturers, facility managers, and production teams. The solution addresses a variety of use cases, such as asset monitoring, performance optimization, quality improvement, and maintenance streamlining. By utilizing Insights Hub, organizations can gain a comprehensive understanding of their operations, identify inefficiencies, and implement strategies that lead to enhanced productivity and reduced costs. This makes it an essential tool for businesses looking to stay competitive in an increasingly data-driven industry. Insights Hub encompasses several key features that cater to specific operational needs. For instance, Insights Hub Monitor allows users to track asset performance in real-time, providing critical data that can inform maintenance schedules and operational adjustments. This feature is particularly beneficial for organizations aiming to minimize downtime and maximize the availability of their equipment. Insights Hub OEE focuses on overall equipment effectiveness, helping organizations analyze performance metrics to improve efficiency and reduce downtime. Additionally, Insights Hub Quality Prediction enhances quality inspection processes by utilizing predictive analytics to identify potential defects before they occur, thereby minimizing rework and waste. Insights Hub Asset Health and Maintenance is tailored for equipment manufacturers and operators, offering tools to streamline maintenance services and extend asset lifecycles. Insights Hub is also providing dedicated solutions to improve sustainability, leveraging Machine Learning to reduce energy and resource consumption. It also enhances traceability and facilitates containment of issues, avoiding negative impact on customers. By integrating these features, Insights Hub delivers significant value to its users. Insights Hub not only improves operational decision-making through data-driven insights but also fosters a culture of continuous improvement within manufacturing environments. The expanded portfolio, which includes software, IoT-connected hardware, and related services, allows customers and partners within the Siemens Xcelerator ecosystem to develop industry-specific applications tailored to their unique operational challenges. This adaptability ensures that Insights Hub remains relevant and effective in a rapidly evolving industrial landscape, positioning organizations to thrive in the era of smart manufacturing.

Average Rating: 4.5/5.0

Total Reviews: 67

How Do G2 Users Rate Insights Hub?

  • Ease of Use: 8.1/10 (Category avg: 8.9/10)
  • Quality of Support: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Insights Hub?

Who Uses This Product?

  • Top Industries: Industrial Automation, Food & Beverages
  • Company Size: 38% Large, 32% Small

What Do G2 Reviewers Say About Insights Hub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Insights Hub, making data management intuitive and efficient for quicker insights.
  • Users value the improved dashboards and AI-powered insights of Insights Hub, enhancing data management and analysis.
  • Users appreciate the user-friendly interface of Insights Hub, making data access and analysis straightforward for everyone.
  • Users value the easy integrations of Insights Hub, enhancing their ability to consolidate data effortlessly from various sources.
  • Users love the custom dashboards in Insights Hub, appreciating their simplicity and ease of use for data visualization.
Cons
  • Users find the learning curve challenging, as the interface can be complex and navigation isn't intuitive.
  • Users desire more flexible customization options in Insights Hub, particularly for report designs, to enhance versatility.
  • Users find navigation issues in Insights Hub complicate their experience, making it less user-friendly and intuitive.
  • Users find Insights Hub to have poor usability, citing complex navigation and an unhelpful interface that hampers effectiveness.
  • Users find difficult navigation of Insights Hub challenging, requiring extra help and time to become familiar with it.

What Are Recent G2 Reviews of Insights Hub?

TagoIO

TagoIO is a full-stack IoT platform that simplifies how teams build and scale IoT applications, freeing them to focus on innovation instead of infrastructure. The platform combines ease of use with enterprise-grade capabilities, enabling businesses to connect, manage, and analyze device data at scale while maintaining full control over their solutions. Trusted by over 20,000 developers across 130+ countries, TagoIO powers IoT solutions in Agriculture, Energy, Buildings, Industrial, and Logistics. The same platform that accelerates a quick proof of concept can scale to millions of data points in global production, without lock-in, and with real human support along the way. Create a free account and start turning your ideas based on sensors, data, and analytics into solutions. For more information, visit www.tago.io.

Average Rating: 4.9/5.0

Total Reviews: 60

How Do G2 Users Rate TagoIO?

  • Ease of Use: 9.2/10 (Category avg: 8.9/10)
  • Quality of Support: 9.7/10 (Category avg: 8.9/10)

Who Is the Company Behind TagoIO?

  • Seller: TagoIO
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Raleigh, US
  • LinkedIn® Page: www.linkedin.com
    24 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Industrial Automation, Information Technology and Services
  • Company Size: 78% Small, 13% Medium

What Do G2 Reviewers Say About TagoIO?

AI-generated summary from verified user reviews

Pros
  • Users find TagoIO to be flexible and easy to use, with excellent support enhancing their experience.
  • Users value the flexibility of TagoIO, appreciating its easy integration and customizable dashboard options.
  • Users find TagoIO to be user-friendly, combining flexibility with strong support to enhance project success.
  • Users value the flexible and extensible custom dashboards of TagoIO, enhancing their IoT projects efficiently.
  • Users value the easy integrations of TagoIO, enhancing their dashboarding experience with seamless connectivity options.
Cons
  • Users note a steep learning curve when starting with TagoIO, requiring time to fully grasp its extensive features.
  • Users find the high pricing of TagoIO plans a barrier, especially between the Starter and Scale options.
  • Users find the complexity of TagoIO's dashboard building leads to repetitive work and a challenging learning curve.
  • Users are frustrated by the limited customization options in TagoIO, making dashboard creation tedious and time-consuming.
  • Users find the poor documentation frustrating, especially for advanced features and troubleshooting in TagoIO.

What Are Recent G2 Reviews of TagoIO?

Rayven

What is Rayven? Rayven is an operational software platform that delivers an AI data fabric - connecting every system, data source, and data stream across a business into a single managed environment, then letting teams build custom apps, AI agents, workflow automations, dashboards, and MCP servers for direct AI model connectivity on top. It is the platform for organisations that need to act on operational data in real-time, deploy AI that actually works in production + build software that fits the way their business operates - without replacing existing systems or waiting 18 months for results. The Problem Rayven Solves Most organisations already have the systems and data they need. The challenge is fragmentation. ERP systems, SCADA platforms, IoT devices, databases, cloud tools, and files all generate valuable data - but it sits in silos, impossible to act on in real-time. The result: manual reporting, disconnected workflows, and AI projects that fail before reaching production. Industry research shows 95% of AI projects never ship - most because the underlying data layer is not clean, connected, or ready. Rayven builds that foundation first, then activates it. The Rayven Platform Rayven operates across five unified layers, delivered as a single managed environment: - Integration: More than 600 pre-built connectors pull data from IT, OT, IoT, files, APIs, databases, and data streams - bidirectionally, in real-time. Connects industrial protocols (OPC UA, Modbus, MQTT, BACnet) alongside cloud platforms, business systems, and proprietary tools. - Data: All connected data lands in a single managed platform - structured, governed + AI-ready. Real-time processing, ETL pipelines, data lakes, and AI model training handled in one place. - Execution: Automation rules, predictive models + agentic AI run directly on live operational data. Rules-based logic, machine learning, and goal-seeking autonomous agents all operate in one execution environment. - Presentation: Custom apps, dashboards, portals, conversational interfaces, and mobile applications deployed from the same platform - built for specific workflows, not generic reporting. - Security, Governance + Hosting: Role-based access control, data lineage, audit trails, AES-256 encryption, data residency controls, and enterprise-grade infrastructure - included as standard. AI Capabilities Rayven includes ten native AI capabilities built directly into the platform: 1. Custom AI agents (goal-seeking, action-taking) 2. Predictive analytics and machine learning 3. Conversational analytics 4. Real-time and continuous model training 5. AI-led workflow automation 6. Multimodal processing (documents, video, images, audio) 7. Anomaly and risk detection 8. Forecasting and optimisation 9. Vision and edge AI inference 10. Generative operational summaries MCP server support enables direct connectivity for AI models including Claude, GPT, and others. What Gets Built Rayven customers build and deploy: - Custom operational apps and field applications. - AI agents that monitor conditions, detect anomalies + take corrective action autonomously. - Predictive maintenance and performance models running on live plant data. - Real-time dashboards and executive reporting tools. - Workflow automations spanning IT and OT systems. - Customer and partner portals. - Data pipelines and integration layers. - White-label software products delivered under partner brands. Key Differentiators vs. Point solutions (Zapier, MuleSoft, Power BI, DataRobot): point solutions do one thing well but force teams to stitch together five separate tools to cover integration, data, AI, presentation, and governance. Rayven replaces the stack. vs. Traditional enterprise platforms (SAP, Oracle, Palantir): enterprise platforms take 12-18 months and seven figures to implement. Rayven deploys in two to 12 weeks at fixed scope and fixed price. vs. Low-code app builders (Mendix, OutSystems): app builders handle the presentation layer but do not solve the underlying data and integration problem. Rayven covers the full stack. Technology Compatibility Rayven is fully technology-agnostic and works alongside existing systems: - Cloud platforms: Microsoft Azure, Google Cloud + AWS - Business systems: SAP, Salesforce, Oracle, and Microsoft 365 - OT platforms: Siemens, Rockwell, Schneider Electric, and Ignition - Industrial protocols: OPC UA, Modbus, MQTT, BACnet, and EtherNet/IP - IoT devices: any device with a data output - Custom and proprietary systems via API, webhook, or direct connector Nothing needs to be replaced. Every existing investment is preserved. Who Uses Rayven Rayven serves businesses from growth-stage to large enterprise across 24+ industries globally - manufacturing, mining, construction, infrastructure, logistics, utilities, financial services, healthcare, agriculture, government, and more. Customers across Australia, Europe, North America, South America, and Africa. Named customers include Anglo American, Fulton Hogan, Glencore, Vodafone, NSW Ports, CSIRO, Collective Intelligence, Ramjack, and AngloGold Ashanti. Delivery Options - DIY: Full platform access. Internal teams build and deploy independently. - Done-For-You: Australia-based delivery team. Fixed scope, fixed price, two to 12 weeks from brief to go-live. - Hybrid: Guided delivery first, with the customer's team taking increasing ownership over time. By the Numbers - More than 600 pre-built connectors. - Ten native AI capabilities. - More than 240 deployments live globally. - Rated 5/5 across more than 140 independent reviews. - Deploys 66% faster than traditional development. - Two to 12 weeks to first working solution. - Rayven exists to close the gap: 95% of AI projects never reach production (industry average).

Average Rating: 4.9/5.0

Total Reviews: 29

How Do G2 Users Rate Rayven?

  • Ease of Use: 9.9/10 (Category avg: 8.9/10)
  • Quality of Support: 9.9/10 (Category avg: 8.9/10)

Who Is the Company Behind Rayven?

  • Seller: Rayven
  • Year Founded: 2016
  • HQ Location: Sydney, AU
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 69% Medium, 52% Small

What Do G2 Reviewers Say About Rayven?

AI-generated summary from verified user reviews

Pros
  • Users appreciate Rayven's ease of use, benefiting from flexible dashboards and seamless integration for real-time insights.
  • Users appreciate Rayven for its real-time visibility across supply chains, simplifying complex data workflows with powerful automation.
  • Users love Rayven for its seamless automation that centralizes data and significantly reduces manual processes.
  • Users appreciate Rayven's customization options, enabling tailored dashboards and workflows that enhance operational efficiency in logistics.
  • Users appreciate Rayven for its real-time visibility and ease of data management, enhancing logistics and operational efficiency.
Cons
  • Users note a learning curve with Rayven, making initial usage challenging before it becomes more intuitive.
  • Users find the difficult learning curve challenging at first, but it smooths out once familiar with advanced features.
  • Users may face a learning difficulty initially, requiring time and guidance to fully grasp the platform's features.
  • Users find the complex setup of Rayven challenging, especially when integrating advanced features and customizing AI models.
  • Users find the setup complexity of Rayven challenging due to the need for careful initial configuration and testing.

What Are Recent G2 Reviews of Rayven?

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Elastic Observability

OpenTelemetry-native observability for fast, AI-driven root cause analysis Search, analyze, and act with logs, metrics, and traces. SRE leaders aim to proactively prevent downtime, simplify tool stacks, and reduce toil, but multi-cloud complexity and fragmented toolsets create visibility gaps that make it hard to stay ahead. OTel-native and AI-powered, Elastic Observability ingests and correlates petabytes of telemetry across your applications, services, and infrastructure, in real-time. Accelerate troubleshooting with built-in agentic workflows and an AI Assistant that goes well beyond chat to bolster team expertise and guide investigations, grounded with context from your organizational knowledge-bases. More data, more problems? Not anymore. Most observability and logging solutions weren’t built for today’s scale. Elastic is. Our architecture is designed to handle petabytes of logs with indexing, compression, and efficient searchable storage so you can keep all the telemetry you need, without breaking the bank. Store more, spend less, and resolve issues faster with a scalable, open, and extensible platform that unifies visibility across your entire environment.

Average Rating: 4.3/5.0

Total Reviews: 133

How Do G2 Users Rate Elastic Observability?

  • Ease of Use: 7.9/10 (Category avg: 8.9/10)
  • Quality of Support: 8.2/10 (Category avg: 8.9/10)

Who Is the Company Behind Elastic Observability?

  • Seller: Elastic
  • Company Website:
  • Year Founded: 2012
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    10,457 employees on LinkedIn®
  • Ownership: NYSE: ESTC

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 43% Medium

What Do G2 Reviewers Say About Elastic Observability?

AI-generated summary from verified user reviews

Pros
  • Users find Elastic Observability to be intuitive and easy to navigate, enhancing their overall experience with its features.
  • Users value the holistic monitoring capabilities of Elastic Observability, enhancing real-time responsiveness and operational insights.
  • Users love the real-time log management of Elastic Observability, enhancing operational visibility and troubleshooting efficiency.
  • Users appreciate the holistic monitoring experience of Elastic Observability, streamlining logs and metrics for efficient troubleshooting.
  • Users praise the intuitive features and customization of Elastic Observability, enhancing their operational efficiency and user experience.
Cons
  • Users find the learning curve steep, especially with log management and advanced features for beginners.
  • Users find the difficult learning curve challenging, especially when navigating logs and advanced features for the first time.
  • Users find it challenging with log management complexities due to overwhelming data and a steep learning curve.
  • Users find the learning difficulty daunting due to overwhelming logs and the need for training to utilize advanced features.
  • Users struggle with log management issues, facing difficulties in log generation and lack of integration with existing log files.

What Are Recent G2 Reviews of Elastic Observability?

What Are G2 Users Discussing About Elastic Observability?

Tractian

Tractian is the Physical AI platform for asset intelligence, chosen by 2,000+ of the world's most demanding asset-heavy operations. We combine hardware sensors and AI-driven software to monitor machine health in real time, so teams can catch failures before they happen, prioritize what matters, and act with confidence. Trusted by global leaders like Eli Lilly, Air Liquide, Cummins, Ingredion, and Whirlpool, Tractian enables industrial teams to: ✔️ Catch failures weeks in advance with continuous multimodal machine health monitoring ✔️ Get full plant visibility through wireless industrial sensors, no WiFi or plant network required ✔️ Replace alerts with automated diagnosis: root cause and recommended action included ✔️ Monitor critical assets across every site from one unified dashboard Certified with ISO 27001 and SOC 2 Type II. Named to the Forbes AI 50 and ranked #24 Fastest-Growing Company in North America on the Deloitte Technology Fast 500™. Tractian has returned over $304M to customers and helped teams avoid over 97,631 hours of unplanned downtime.

Average Rating: 4.7/5.0

Total Reviews: 54

How Do G2 Users Rate Tractian?

  • Ease of Use: 9.0/10 (Category avg: 8.9/10)
  • Quality of Support: 9.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Tractian?

  • Seller: Tractian
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Atlanta, GA
  • LinkedIn® Page: www.linkedin.com
    889 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Manufacturing, Food & Beverages
  • Company Size: 43% Medium, 20% Small

What Do G2 Reviewers Say About Tractian?

AI-generated summary from verified user reviews

Pros
  • Users value the easy-to-use interface of TRACTIAN, allowing for efficient tracking of downtime and machine data.
  • Users value the real-time monitoring features of TRACTIAN for swiftly addressing production delays and maintenance needs.
  • Users commend the exceptional customer support from TRACTIAN, highlighting dedicated staff and seamless installation experiences.
  • Users value TRACTIAN's efficiency in providing real-time feedback and auto-generated alerts for proactive resource management.
  • Users appreciate TRACTIAN for its real-time monitoring, enhancing equipment maintenance and reducing unplanned downtime effectively.
Cons
  • Users find the complex usability of TRACTIAN challenging, particularly regarding dashboard customization and mobile interface difficulties.
  • Users find the difficult learning curve of TRACTIAN challenging, especially in understanding data and implementing the system effectively.
  • Users find the expense of renting sensors to be a significant drawback, making budgeting challenging.
  • Users experience a steep learning curve with TRACTIAN, requiring training and assistance for effective use.
  • Users face usability issues with TRACTIAN, finding the interface complicated, especially on phones and for infrequent use.

What Are Recent G2 Reviews of Tractian?

TrendMiner

TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities. TrendMiner, a Vercore company, was founded in 2008 with a global headquarters located in Belgium, and offices in the U.S., Germany, Spain, and the Netherlands. TrendMiner has strategic partnerships with Amazon, Microsoft, SAP, GE Digital, Siemens, and Aveva, and offers standard integrations with a wide range of data platforms such as AVEVA PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, Canary, and Aveva Historian.

Average Rating: 4.6/5.0

Total Reviews: 199

How Do G2 Users Rate TrendMiner?

  • Ease of Use: 8.8/10 (Category avg: 8.9/10)
  • Quality of Support: 9.3/10 (Category avg: 8.9/10)

Who Is the Company Behind TrendMiner?

  • Seller: TrendMiner
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Hasselt, Flemish Region
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Process Engineer, Process Analytics Engineer
  • Top Industries: Chemicals, Oil & Energy
  • Company Size: 51% Large, 35% Medium

What Do G2 Reviewers Say About TrendMiner?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of TrendMiner, allowing for quick monitoring and analysis of trends with new AI features.
  • Users highlight the impressive speed of TrendMiner, enabling instant data processing and efficient analysis without delays.
  • Users appreciate the dashboard trends for real-time monitoring and easy accessibility of data analysis.
  • Users appreciate the ease of use and integration in TrendMiner, enabling efficient real-time data analysis and visualization.
  • Users find the easy learning curve of TrendMiner invaluable, enabling efficient use without extensive training.
Cons
  • Users find the complex usability of TrendMiner challenging, especially with folder transfers and interface navigation.
  • Users find the difficult learning curve of TrendMiner challenging, hindering their ability to effectively utilize the platform.
  • Users find the learning curve steep with TrendMiner, requiring time and effort to grasp its advanced features.
  • Users find TrendMiner's limited accessibility on mobile devices to be a significant drawback, hindering usability in the field.
  • Users find the complexity of advanced functions in TrendMiner necessitating training and cumbersome system administration.

What Are Recent G2 Reviews of TrendMiner?

What Are G2 Users Discussing About TrendMiner?

AWS IoT SiteWise

AWS IoT SiteWise is a managed service that makes it easy to collect and organize data from industrial equipment at scale. You can easily monitor equipment across your industrial facilities to identify waste, such as breakdown of equipment and processes, production inefficiencies, and defects in products.

Average Rating: 4.4/5.0

Total Reviews: 19

How Do G2 Users Rate AWS IoT SiteWise?

  • Ease of Use: 8.6/10 (Category avg: 8.9/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)

Who Is the Company Behind AWS IoT SiteWise?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Small, 36% Large

What Are Recent G2 Reviews of AWS IoT SiteWise?

What Are G2 Users Discussing About AWS IoT SiteWise?

AWS IoT Analytics

AWS IoT Analytics is a fully-managed service that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about all the cost and complexity typically required to build your own IoT analytics platform.

Average Rating: 4.5/5.0

Total Reviews: 17

How Do G2 Users Rate AWS IoT Analytics?

  • Ease of Use: 8.7/10 (Category avg: 8.9/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind AWS IoT Analytics?

Who Uses This Product?

  • Company Size: 38% Large, 38% Small

What Are Recent G2 Reviews of AWS IoT Analytics?

What Are G2 Users Discussing About AWS IoT Analytics?

ThingSpeak

The open data platform for the Internet of Things

Average Rating: 4.3/5.0

Total Reviews: 15

How Do G2 Users Rate ThingSpeak?

  • Ease of Use: 8.3/10 (Category avg: 8.9/10)
  • Quality of Support: 8.6/10 (Category avg: 8.9/10)

Who Is the Company Behind ThingSpeak?

  • Seller: MathWorks
  • Year Founded: 1984
  • HQ Location: Natick, MA
  • LinkedIn® Page: www.linkedin.com
    8,040 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 40% Medium, 33% Small

What Are Recent G2 Reviews of ThingSpeak?

What Are G2 Users Discussing About ThingSpeak?

SAP Business Technology Platform

SAP Business Technology Platform (SAP BTP) is a multi-cloud platform-as-a-Service optimized to work with SAP solutions. It is a unified platform of technologies SAP uses for its own innovation, to extend and integrate business applications, and to infuse artificial intelligence and context-aware business data. SAP BTP brings together intelligent enterprise applications with database and data management, analytics, integration and extension capabilities into one platform for both cloud and hybrid environments, including hundreds of prebuilt business content and integrations for faster time-to-value. It can be used to create personalized experiences across business processes, build applications, analytics, and integrations faster, and to run mission-critical innovation confidently on major cloud providers' infrastructure fully managed by SAP. SAP BTP offers a range of capabilities and services that: - offers fit-for-purpose tools and services that are optimized for SAP applications along with composable bespoke business processes - provides an open environment with pre-built connectors to 3rd party apps and the availability to run on leading hyperscaler IaaS Clouds (AWS, Azure, GCP, etc.) connects AI & ML into business processes to enhance intelligence, automation, and productivity - delivers security and improved insights by keeping contextual data close to core business processes and applications - enables future-proofing by keeping core systems clean, greatly reducing technical debt to take advantage of cloud economics

Average Rating: 4.4/5.0

Total Reviews: 397

How Do G2 Users Rate SAP Business Technology Platform?

  • Ease of Use: 8.2/10 (Category avg: 8.9/10)
  • Quality of Support: 8.5/10 (Category avg: 8.9/10)

Who Is the Company Behind SAP Business Technology Platform?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Software Engineer, System Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Large, 36% Medium

What Do G2 Reviewers Say About SAP Business Technology Platform?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAP Business Technology Platform for its integration and streamlined operations.
  • Users appreciate the seamless integrations offered by SAP Business Technology Platform, enhancing efficiency and simplifying their workflows.
  • Users value the easy integrations of SAP Business Technology Platform, streamlining workflows and enhancing productivity significantly.
  • Users value the accelerated integration and innovation SAP BTP offers, making it a vital tool for modern businesses.
  • Users value the unified platform of SAP Business Technology Platform for seamless integration and efficient data management.
Cons
  • Users find the steep learning curve challenging, especially for those lacking prior experience, complicating the initial setup.
  • Users experience a steep learning curve and complexity that can hinder initial use and navigation of SAP BTP.
  • Users find the high costs of SAP Business Technology Platform to be a significant drawback of the overall experience.
  • Users struggle with the steep learning curve of SAP Business Technology Platform, complicating initial setup and usage.
  • Users often find the difficult learning curve of SAP BTP to be a significant barrier for newcomers.

What Are Recent G2 Reviews of SAP Business Technology Platform?

What Are G2 Users Discussing About SAP Business Technology Platform?

Datadog

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. The 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.

Average Rating: 4.4/5.0

Total Reviews: 737

How Do G2 Users Rate Datadog?

  • Ease of Use: 8.2/10 (Category avg: 8.9/10)
  • Quality of Support: 8.4/10 (Category avg: 8.9/10)

Who Is the Company Behind Datadog?

  • Seller: Datadog
  • Company Website:
  • Year Founded: 2010
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    10,780 employees on LinkedIn®
  • Ownership: NASDAQ: DDOG

Who Uses This Product?

  • Who Uses This: Software Engineer, DevOps Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Medium, 33% Large

What Do G2 Reviewers Say About Datadog?

AI-generated summary from verified user reviews

Pros
  • Users value a unified observability view that brings logs, metrics, and traces together for easier monitoring and insights.
  • Users value clear, customizable dashboards that make relevant data easy to visualize and understand.
  • Users value unified visibility across applications, infrastructure, and services, helping them understand overall system health.
  • Users find the interface intuitive and easy to use, helping them navigate monitoring and streamline everyday operations.
  • Users value its broad integrations across cloud services and existing systems, with straightforward setup that connects their tools.
Cons
  • Users say costs are high and can rise quickly as infrastructure, data volume, and monitored services scale.
  • Users find the learning curve steep, with advanced features, queries, and dashboards taking time to master.
  • Users find the interface crowded with information and controls, making it feel overwhelming, especially at first.
  • Users find costs difficult to predict, track, and control, especially as usage and monitored environments scale.
  • Users find navigation confusing, with features and information difficult to locate across screens and dashboards.

What Are Recent G2 Reviews of Datadog?

What Are G2 Users Discussing About Datadog?

dataPARC

dataPARC is a self-service industrial data visualization & analytics toolkit designed for process manufacturers seeking to improve quality, increase yield, & optimize their operations. Collect, connect, & analyze IoT data from across the plant with dataPARC’s process data analytics & visualization platform. Solve challenging process & product quality issues with simple, yet powerful trending & diagnostic analytics tools. Build sophisticated dashboards and displays to monitor processes & share production KPIs across your enterprise. Leverage artificial intelligence (AI) and machine learning to drive continuous improvement & increase margins via predictive modelling.

Average Rating: 4.9/5.0

Total Reviews: 39

How Do G2 Users Rate dataPARC?

  • Ease of Use: 9.1/10 (Category avg: 8.9/10)
  • Quality of Support: 9.6/10 (Category avg: 8.9/10)

Who Is the Company Behind dataPARC?

  • Seller: dataPARC
  • Year Founded: 1997
  • HQ Location: Washougal, US
  • LinkedIn® Page: www.linkedin.com
    110 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Paper & Forest Products
  • Company Size: 62% Medium, 31% Large

What Do G2 Reviewers Say About dataPARC?

AI-generated summary from verified user reviews

Pros
  • Users highly value the customizability of dataPARC, enabling tailored displays for both novices and experienced users.
  • Users value the speed and accessibility of data from dataPARC, enhancing their monitoring and analysis capabilities.
  • Users enjoy the accessible and extensive data visualization offered by dataPARC, enhancing their monitoring tasks efficiently.
  • Users find dataPARC to be extremely user-friendly, with an intuitive layout that simplifies navigation and usage.
  • Users appreciate the effective personalization and depth of dataPARC, making it suitable for both novices and experts.
Cons
  • Users find the complex usability of dataPARC difficult, especially beginners needing more examples and explanations for VB commands.
  • Users find data management issues related to insufficient examples and explanations for the VB language in dataPARC.
  • Users find the difficult learning curve of dataPARC challenging, especially due to limited examples and insufficient VB guidance.
  • Users find the learning curve steep, needing more examples and detailed guidance for effective use of dataPARC.
  • Users feel that the required expertise in VB can be overwhelming, lacking sufficient examples and guidance for beginners.

What Are Recent G2 Reviews of dataPARC?

What Are G2 Users Discussing About dataPARC?

Seeq

Seeq is a global leader in industrial AI that brings together operational data, human expertise, and AI to help industrial organizations accelerate better decisions and measurable outcomes. Seeq captures and connects the knowledge of subject matter experts, making proven approaches easier to access, apply, and scale across teams, assets, and sites. With transparent, traceable AI, Seeq helps organizations move from insight to action while keeping human judgment at the center. Trusted by leading industrial companies, Seeq supports improvements in reliability, efficiency, sustainability, workforce productivity, and profitability. Seeq helps every industrial decision benefit from collective knowledge, operational context, and intelligent action.

Average Rating: 4.6/5.0

Total Reviews: 145

How Do G2 Users Rate Seeq?

  • Ease of Use: 8.5/10 (Category avg: 8.9/10)
  • Quality of Support: 9.2/10 (Category avg: 8.9/10)

Who Is the Company Behind Seeq?

  • Seller: Seeq Corporation
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Seattle, Washington
  • LinkedIn® Page: www.linkedin.com
    334 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Process Engineer
  • Top Industries: Oil & Energy, Chemicals
  • Company Size: 58% Large, 32% Medium

What Do G2 Reviewers Say About Seeq?

AI-generated summary from verified user reviews

Pros
  • Users value the easy data processing with Seeq, enabling enhanced decision-making and operational efficiency.
  • Users find Seeq to be user-friendly, facilitating quick understanding and effective data processing for decision-making.
  • Users appreciate the easy data processing and predictive analytics of Seeq, enhancing decision making and operational efficiency.
  • Users value the outstanding analysis capabilities of Seeq, effectively understanding issues and gaining insights swiftly.
  • Users value the quick and interactive data visualization in Seeq, enabling easy understanding of complex issues.
Cons
  • Users find the complex usability of Seeq challenging, especially with mastering formulas and navigating its interface.
  • Users find the difficult learning curve of Seeq hinders adoption and mastery of its powerful features.
  • Users find a steep learning curve with Seeq, which complicates initial adoption and mastery of its features.
  • Users find a steep learning curve with Seeq, making adoption and mastery challenging without adequate support.
  • Users find it complex to scale analyses and integrate seamlessly, complicating their workflow and project integrity.

What Are Recent G2 Reviews of Seeq?

What Are G2 Users Discussing About Seeq?

Cisco Edge Intelligence

Connect, automate, and scale with Cisco Kinetic

Average Rating: 4.5/5.0

Total Reviews: 13

How Do G2 Users Rate Cisco Edge Intelligence?

  • Ease of Use: 8.0/10 (Category avg: 8.9/10)
  • Quality of Support: 8.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Cisco Edge Intelligence?

  • Seller: Cisco
  • Year Founded: 1984
  • HQ Location: San Jose, CA
  • LinkedIn® Page: www.linkedin.com
    95,294 employees on LinkedIn®
  • Ownership: NASDAQ:CSCO
  • Phone: 847-678-6600

Who Uses This Product?

  • Company Size: 57% Small, 21% Medium

What Are Recent G2 Reviews of Cisco Edge Intelligence?

Oracle Internet of Things Cloud

Oracle offers the broadest choice of cloud solutions to simplify IT and power innovation.

Average Rating: 3.9/5.0

Total Reviews: 18

How Do G2 Users Rate Oracle Internet of Things Cloud?

  • Ease of Use: 7.8/10 (Category avg: 8.9/10)
  • Quality of Support: 7.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Oracle Internet of Things Cloud?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL
  • Phone: +1 (650) 506-7000

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 39% Large, 39% Small

What Are Recent G2 Reviews of Oracle Internet of Things Cloud?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 3, 2024

IoT Analytics Topics

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Learn More About IoT Analytics Platforms

What are IoT Analytics Platforms?

Data analytics is at the core of the Internet of Things (IoT), alongside process automation and asset management. Equipping machinery, office space, transport vehicles, and other things with smart sensors allows organizations to gather more data and glean more insight than ever before. Additionally, it shows how various assets perform and interact with one another. IoT analytics platforms help business leaders unlock actionable insights so they can learn about their operations and how to effectively optimize them from every angle.

For a connected business, there might be hundreds or thousands of advanced data sets to ingest each day. This data might include information about how devices are used, working conditions, and prescriptive analytics. The platforms in this fast-growing category offer methods for visualizing, analyzing, organizing, and exploring real-time and historical data generated by disparate IoT devices. Most businesses collect overwhelming amounts of enterprise IoT data. These solutions help determine the most relevant and actionable insights based on connected applications and their corresponding strategies and goals.

Key Benefits of IoT Analytics Platforms

  • Synthesize data generated by a network of smart devices and IoT sensors
  • Maximize ROI for diverse connected platforms across an organization
  • Shape operational strategies using prescriptive and predictive analytics
  • Identify the most relevant insights for data analytics and translate them into visualizations for easy consumption and analysis
  • Make noteworthy data points from IoT networks searchable and accessible for future reference

Why Use IoT Analytics Platforms?

Digital transformation is increasingly focused on connected devices, artificial intelligence, and other solutions to make workplaces automated and efficient. Smart devices—from factory machinery to office appliances—can assist with task automation as well as reveal insights about a company, building, employees, and customers. Connected assets help track details related to output, performance, and engagement with software platforms, employees, customers, and other applications connected to a network. IoT analytics solutions empower business users to sort and make sense of these findings. They can learn more about their business operations from the perspective of everyday “things" used across the company, regardless of their cost, size, or function.

Many platforms in this category offer tools to view and convert raw data into shareable formats. In some cases this entails integrations with data visualization software, business intelligence platforms, or other tools used for data analytics. In addition to gathering and preparing valuable data from smart devices, some platforms provide tools for real-time monitoring and reporting, helping users make instant decisions based on momentary events. The real-time streaming of powerful insights helps decision makers adjust and improve processes when these devices are involved, without waiting for lengthy reports.

Thanks to modern edge computing technology, the data gathered on these platforms can be processed and stored on the edge of company networks rather than centralized data warehouses. This helps deliver the right data at a faster rate, without eating into the bandwidth of critical systems. To establish an edge computing scenario for IoT devices and the data they collect, a business must configure edge devices (e.g., routers, integrated access devices or IADs) that control the flow of data. As a company builds out their IoT, analytics platforms help unlock the full potential of these devices without compromising the performance of their assets or IT infrastructures. A number of IoT platforms include analytics solutions or certain reporting features, but dedicated analytics platforms such as those in this category offer deeper insights related to IoT devices, networks, and more related functions in an organization.

Who Uses IoT Analytics Platforms?

The extensive insights from IoT analytics platforms are valuable to everyone in an organization; these insights influence strategic decisions and help the company improve business outcomes. However, only select individuals are typically trained to use these platforms, understand the data, and communicate the findings. The following teams or individuals are the most likely users of IoT analytics platforms.

IoT specialists — As the popularity of IoT grows, so does the need for dedicated experts within an organization. New positions such as IoT architect and IoT engineer are prioritized in thousands of tech-forward businesses. Individuals taking focused courses or training on smart technology and its applications may be recruited by an organization to fill an emerging role. In many cases, managers train existing employees so they can take on new responsibilities related to IoT strategy, such as tracking and comprehension of IoT analytics. The exact job titles of these individuals may vary based on the company’s unique approach to the focus area. Internal IoT specialists likely use platforms in this category. These platforms are essential for maximizing the value of IoT investments and making strategic decisions based on smart object activity. If a company designates one or more employees as IoT specialists, the right analytics tool can make a significant impact and convert IoT activity into actionable insights.

Data scientists and analysts — Depending on the size and scope of a company’s IoT infrastructure, they may not designate team members to be purely focused on IoT. In these cases, they may distribute related tasks and responsibilities to different teams or employees. Analytics experts, such as data analysts and data scientists, might be tasked with observing IoT data and determining appropriate responses to these findings. In addition to their existing analytics software and other business tools they use, data experts utilize IoT analytics platforms to observe, sort, and share unique insights generated by smart devices and any asset configured with an IoT sensor. In some cases, these findings are exported to other platforms for further studying, storing, or sharing. An IoT analytics platform can be essential for consuming the continuous stream of data connected devices produce, such as time-series data and streaming data from critical equipment on a factory line. Additionally, these platforms assist with modeling and blending unique data sets for optimal analysis.

IoT development firms — Internet of things developers, or IoT developers, are agencies that specialize in designing and deploying smart applications to use in an organization. These experts offer custom manufacturing of IoT objects and help configure new IoT networks. When working with one of these agencies, a business may need additional assistance with testing, troubleshooting, and tracking devices and IoT activity. IoT development teams might leverage a data analytics platform to visualize the findings of connected objects at any point in the customer experience, so customers can yield desired results with their IoT strategies.

IoT Analytics Platform Features

The diverse platforms in this category offer a unique set of tools to assist with IoT data analytics. The following are primary features common in this category of software platform.

Data models and customization — IoT analytics solutions often come with data models for organizing and standardizing information generated by connected devices. Data modeling is useful for revealing relationships between large sets of unorganized data so users can draw conclusions. With some platforms, users can customize data models or configure entirely new models to fit their particular needs. Models may be useful for observing logical relationships within data sets, and determining how data is retrieved, stored, and formatted.

Ingestion and filtering — IoT sensors enable objects to generate limitless data; this increases based on the portfolio of devices in the network. IoT analytics platforms usually include filtering and ingestion tools, allowing users to collect the most relevant data points. When determining how data is ingested from IoT devices, users can decide whether specific types of data will be used immediately or filed away for later use. In some cases, users can create dashboards for real-time data streaming including location and what settings are most beneficial at the time.

Event scheduling and alerts — Along with determining which data should be collected, users of IoT analytics platforms can determine when to generate reports. Scheduling analytics readings could revolve around a specific time schedule, or particular events. Users might track IoT data in response to alerts such as environmental changes or equipment issues. In other cases, they may simply want to schedule data ingestion for a particular time to make basic observations about patterns and performance. Companies can elect to pull data in a variety of ways and adjust their analytics strategy over the course of their IoT campaign. The platforms in this category offer a number of configurations for reporting to suit these needs.

Potential Issues with IoT Analytics Platforms

Data gaps — In addition to taking systems offline at unexpected and inconvenient times, random lapses in connectivity cause inconsistencies in time-series data. For example, you may notice several hours between two data points where there would normally be a steady, uninterrupted time line of data. These random gaps can be a source of frustration when it comes to studying and drawing conclusions. To prevent this, IT experts should monitor edge networks and routers and proactively address any issues.

False or corrupted readings — The more end points a company adds to its IoT stack, the greater the potential for transmission issues from an individual sensor. This is an unfortunate risk of any new technology, when it comes to IoT, these possibilities are multiplied by the number of devices they enable. A false reading can happen for a number of reasons, inaccurate data point can corrupt the integrity of data sets. It’s important to perform audits on data and run as many tests as possible to quickly identify issues, before problematic devices contribute additional false readings. Regular software updates are critical to keep distributed smart devices updated, reducing the chances of incomplete or inaccurate data.