# Best IoT Analytics Platforms

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   IoT analytics platforms allows businesses to analyze and visualize sensor data from internet-connected devices. IoT analytics platofrms are used to understand the continuous stream of structured, unstructured, and time series data produced by connected devices, so that businesses can understand historical data and predict future outcomes. Companies may utilize IoT analytics solutions to track the performance of machinery, provide predictive maintenance recommendations, and better understand unique data related to their devices such as temperature, motion, and sound. Data analysts can use IoT analytics platforms to prepare, filter, transform, and drill into sensor data, the same way they would analyze structured data with a [business intelligence platform](https://www.g2.com/categories/business-intelligence-platforms).

To qualify for inclusion in the IoT Analytics Platforms category, a product must:

- Consume data directly from internet-connected devices, sensors, and time series databases
- Support data modeling, blending, and discovery
- Allow users to drill down into the data with interactive visualization
- Create reports and visualizations based on the data





## Category Overview

**Total Products under this Category:** 137


## Trust & Credibility Stats

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,300+ Authentic Reviews
- 137+ 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.


## Best IoT Analytics Platforms At A Glance

- **Leader:** [Insights Hub](https://www.g2.com/products/siemens-digital-industries-software-insights-hub/reviews)
- **Highest Performer:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Easiest to Use:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Top Trending:** [ThingSpeak](https://www.g2.com/products/thingspeak/reviews)
- **Best Free Software:** [SAP Business Technology Platform](https://www.g2.com/products/sap-business-technology-platform/reviews)


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---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Insights Hub](https://www.g2.com/products/siemens-digital-industries-software-insights-hub/reviews)
  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:** 4.6/5.0
  **Total Reviews:** 55

**User Satisfaction Scores:**

- **Ease of Use:** 8.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Siemens Digital Industries Software](https://www.g2.com/sellers/siemens-digital-industries-software)
- **Company Website:** https://www.sw.siemens.com/
- **Year Founded:** 1980
- **HQ Location:** Plano, Texas
- **Twitter:** @siemenssoftware (36,936 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/28423178/ (20,658 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Industrial Automation, Food & Beverages
  - **Company Size:** 36% Enterprise, 36% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (8 reviews)
- Features (7 reviews)
- User-Friendly (7 reviews)
- Easy Integrations (6 reviews)
- Custom Dashboards (5 reviews)

**Cons:**

- Learning Curve (6 reviews)
- Limited Customization (4 reviews)
- Navigation Issues (4 reviews)
- Poor Usability (4 reviews)
- Difficult Navigation (3 reviews)

### 2. [TagoIO](https://www.g2.com/products/tagoio/reviews)
  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:** 53

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [TagoIO](https://www.g2.com/sellers/tagoio)
- **Company Website:** https://tago.io
- **Year Founded:** 2014
- **HQ Location:** Raleigh, US
- **Twitter:** @tagoio (879 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/tago.io (25 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Industrial Automation, Information Technology and Services
  - **Company Size:** 77% Small-Business, 14% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (22 reviews)
- Flexibility (17 reviews)
- User-Friendly (16 reviews)
- Custom Dashboards (15 reviews)
- Easy Integrations (13 reviews)

**Cons:**

- Learning Curve (9 reviews)
- High Pricing (8 reviews)
- Complexity (4 reviews)
- Limited Customization (4 reviews)
- Poor Documentation (4 reviews)

### 3. [Rayven](https://www.g2.com/products/rayven/reviews)
  Rayven designs and delivers the operational systems industrial and asset-intensive businesses rely on day-to-day. We take messy, siloed operational data from systems, OT, IoT, files, and spreadsheets and turn it into automation and made-to-fit operational applications - all running in one place. Rayven connects what you already have without rip-and-replace, so teams always work with current, usable information across sites, assets, and processes. On top of this foundation, we deliver real-time visibility, automated workflows, and complete operational solutions that actually work in industrial environments. Everything is delivered end-to-end, including the underlying technology. We work directly with customers and via partners through white-label and co-branded solutions. Based in ANZ, working globally.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 31

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Rayven](https://www.g2.com/sellers/rayven)
- **Year Founded:** 2016
- **HQ Location:** Sydney, AU
- **Twitter:** @RayvenIOT (56 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rayveniot/ (29 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Retail
  - **Company Size:** 65% Mid-Market, 48% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (61 reviews)
- Features (49 reviews)
- Automation (44 reviews)
- Customization (42 reviews)
- Data Management (36 reviews)

**Cons:**

- Learning Curve (32 reviews)
- Difficult Learning (30 reviews)
- Learning Difficulty (25 reviews)
- Complex Setup (21 reviews)
- Setup Complexity (19 reviews)

### 4. [SAP Business Technology Platform](https://www.g2.com/products/sap-business-technology-platform/reviews)
  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:** 389

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** https://www.sap.com/
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP (297,227 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,341 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, System Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 39% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (132 reviews)
- Integrations (128 reviews)
- Easy Integrations (115 reviews)
- Features (103 reviews)
- Data Management (78 reviews)

**Cons:**

- Learning Curve (97 reviews)
- Complexity (88 reviews)
- Expensive (69 reviews)
- Learning Difficulty (68 reviews)
- Difficult Learning (57 reviews)

### 5. [TRACTIAN](https://www.g2.com/products/tractian-tractian/reviews)
  Tractian is the AI-powered platform for Predictive Maintenance and Production Performance chosen by 1,500 of the world’s most demanding manufacturers. We provide an end-to-end "Plug & Play" ecosystem that combines IoT sensors, software, and patented AI to protect operations and cut unplanned downtime. Trusted by global leaders like Bosch, KraftHeinz, Stellantis, Whirlpool, and Cummins, Tractian enables maintenance, reliability, and production teams to: ✔️Catch failures weeks in advance with real-time machine health monitoring ✔️Have full visibility of the plant through high-fidelity data sampled by industrial-grade sensors ✔️Meet demand and hit production goals with performance tracking ✔️Unify the shop floor with tools for maintenance and production teams Backed by its own security management system certified with ISO 27001 and SOC 2 Type II, Tractian can deliver up to 7x ROI in the first year and reduce unplanned downtime by 43%.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 52

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Tractian](https://www.g2.com/sellers/tractian)
- **Company Website:** https://tractian.com/
- **Year Founded:** 2019
- **HQ Location:** Atlanta, GA
- **Twitter:** @tractian (520 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/get-tractian (275 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Manufacturing, Food & Beverages
  - **Company Size:** 42% Mid-Market, 21% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (20 reviews)
- Real-time Monitoring (11 reviews)
- Customer Support (10 reviews)
- Efficiency (10 reviews)
- Real-Time Monitoring (10 reviews)

**Cons:**

- Complex Usability (10 reviews)
- Difficult Learning (9 reviews)
- Expensive (5 reviews)
- Learning Curve (5 reviews)
- Usability Issues (4 reviews)

### 6. [Google Cloud IoT Core](https://www.g2.com/products/google-cloud-iot-core/reviews)
  A fully managed service to easily and securely connect, manage, and ingest data from globally dispersed devices


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 29

**User Satisfaction Scores:**

- **Ease of Use:** 7.7/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Google](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google (31,885,216 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (336,169 employees on LinkedIn®)
- **Ownership:** NASDAQ:GOOG

**Reviewer Demographics:**
  - **Company Size:** 47% Small-Business, 33% Mid-Market


### 7. [Seeq](https://www.g2.com/products/seeq/reviews)
  Seeq is the only enterprise SaaS platform that is purpose-built for time series data, and is trusted by the most recognizable names in oil & gas, pharmaceuticals, specialty chemicals, utilities, renewable energy, and numerous other vertical industries. Seeq accelerates digital transformation efforts and ROI impact by providing live connectivity to hundreds of data sources, and empowering more people across the organization to leverage a broad range of AI capabilities including advanced analytics, machine learning, and generative AI (GenAI).


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 145

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Seeq Corporation](https://www.g2.com/sellers/seeq-corporation)
- **Company Website:** https://www.seeq.com
- **Year Founded:** 2013
- **HQ Location:** Seattle, Washington
- **Twitter:** @SeeqCorporation (954 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3126445/ (282 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Process Engineer
  - **Top Industries:** Oil & Energy, Chemicals
  - **Company Size:** 58% Enterprise, 32% Mid-Market


#### Pros & Cons

**Pros:**

- Data Analysis (42 reviews)
- Ease of Use (37 reviews)
- Features (27 reviews)
- Analysis Capabilities (22 reviews)
- Data Visualization (16 reviews)

**Cons:**

- Complex Usability (26 reviews)
- Difficult Learning (18 reviews)
- Learning Curve (12 reviews)
- Learning Difficulty (9 reviews)
- Complexity (8 reviews)

### 8. [AWS IoT Analytics](https://www.g2.com/products/aws-iot-analytics/reviews)
  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:** 16

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,223,984 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Company Size:** 40% Small-Business, 35% Enterprise


### 9. [ThingSpeak](https://www.g2.com/products/thingspeak/reviews)
  The open data platform for the Internet of Things


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 15

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [MathWorks](https://www.g2.com/sellers/mathworks)
- **Year Founded:** 1984
- **HQ Location:** Natick, MA
- **Twitter:** @MATLAB (103,739 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1194036/ (7,860 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 40% Mid-Market, 33% Small-Business


### 10. [AWS IoT SiteWise](https://www.g2.com/products/aws-iot-sitewise/reviews)
  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:** 4.5/5.0
  **Total Reviews:** 18

**User Satisfaction Scores:**

- **Ease of Use:** 8.7/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud (2,223,984 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®)
- **Ownership:** NASDAQ: AMZN

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 43% Small-Business, 33% Enterprise


### 11. [dataPARC](https://www.g2.com/products/dataparc/reviews)
  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

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [dataPARC](https://www.g2.com/sellers/dataparc)
- **Year Founded:** 1997
- **HQ Location:** Washougal, US
- **Twitter:** @dataPARCsolutio (26 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dataparc-solutions/ (115 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Paper & Forest Products
  - **Company Size:** 62% Mid-Market, 31% Enterprise


#### Pros & Cons

**Pros:**

- Customizability (2 reviews)
- Data Analysis (2 reviews)
- Data Visualization (2 reviews)
- Ease of Use (2 reviews)
- Features (2 reviews)

**Cons:**

- Complex Usability (1 reviews)
- Data Management Issues (1 reviews)
- Difficult Learning (1 reviews)
- Learning Curve (1 reviews)
- Required Expertise (1 reviews)

### 12. [Plutoshift](https://www.g2.com/products/plutoshift-plutoshift/reviews)
  Plutoshift is pioneering a new category of data platform, purpose built for enterprises that provide physical products and services. The Plutoshift Operational Data Platform (ODP) applies AI and automated machine learning to unify and align the myriad of data sources into a shared system of record, enabling a new caliber of “always-on” performance monitoring and predictive analysis. For the first time, front line and remote workers can utilize current and trusted data all the way out to the operational front lines of the business, dramatically improving the speed and reliability of critical decision making.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 20

**User Satisfaction Scores:**

- **Ease of Use:** 9.5/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Plutoshift](https://www.g2.com/sellers/plutoshift)
- **Year Founded:** 2024
- **HQ Location:** Palo Alto, California
- **Twitter:** @plutoshift (230 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/plutoshift-ai/ (1 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Computer Software
  - **Company Size:** 65% Mid-Market, 20% Enterprise


#### Pros & Cons

**Pros:**

- Data Analysis (11 reviews)
- Features (8 reviews)
- Support Efficiency (8 reviews)
- Ease of Use (7 reviews)
- Analysis Capabilities (6 reviews)

**Cons:**

- Complex Usability (6 reviews)
- Complexity (3 reviews)
- Integration Issues (3 reviews)
- Learning Curve (3 reviews)
- Difficult Setup (2 reviews)

### 13. [TrendMiner](https://www.g2.com/products/trendminer/reviews)
  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:** 178

**User Satisfaction Scores:**

- **Ease of Use:** 8.8/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.2/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [TrendMiner](https://www.g2.com/sellers/trendminer)
- **Company Website:** https://www.trendminer.com/
- **Year Founded:** 2008
- **HQ Location:** Hasselt, Flemish Region
- **Twitter:** @TrendMining (781 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/trendminer/ (91 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Process Engineer, Process Analytics Engineer
  - **Top Industries:** Chemicals, Oil & Energy
  - **Company Size:** 53% Enterprise, 35% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (25 reviews)
- Speed (12 reviews)
- Dashboard Trends (9 reviews)
- Data Analysis (9 reviews)
- Easy Learning (8 reviews)

**Cons:**

- Complex Usability (12 reviews)
- Difficult Learning (6 reviews)
- Learning Curve (5 reviews)
- Limited Accessibility (4 reviews)
- Complexity (3 reviews)

### 14. [Datadog](https://www.g2.com/products/datadog/reviews)
  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:** 688

**User Satisfaction Scores:**

- **Ease of Use:** 8.2/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Datadog](https://www.g2.com/sellers/datadog)
- **Company Website:** https://www.datadoghq.com/
- **Year Founded:** 2010
- **HQ Location:** New York
- **Twitter:** @datadoghq (50,931 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1066442/ (10,625 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer, DevOps Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 47% Mid-Market, 33% Enterprise


#### Pros & Cons

**Pros:**

- Ease of Use (145 reviews)
- Monitoring (144 reviews)
- Real-time Monitoring (122 reviews)
- Features (93 reviews)
- Analytics (88 reviews)

**Cons:**

- Expensive (92 reviews)
- Learning Curve (73 reviews)
- Pricing Issues (71 reviews)
- Cost (65 reviews)
- Learning Difficulty (56 reviews)

### 15. [Cisco Edge Intelligence](https://www.g2.com/products/cisco-edge-intelligence/reviews)
  Connect, automate, and scale with Cisco Kinetic


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 13

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Cisco](https://www.g2.com/sellers/cisco)
- **Year Founded:** 1984
- **HQ Location:** San Jose, CA
- **Twitter:** @Cisco (721,388 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®)
- **Ownership:** NASDAQ:CSCO

**Reviewer Demographics:**
  - **Company Size:** 57% Small-Business, 21% Mid-Market


### 16. [Oracle Internet of Things Cloud](https://www.g2.com/products/oracle-internet-of-things-cloud/reviews)
  Oracle offers the broadest choice of cloud solutions to simplify IT and power innovation.


  **Average Rating:** 3.9/5.0
  **Total Reviews:** 18

**User Satisfaction Scores:**

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


**Seller Details:**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (827,310 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 39% Enterprise, 39% Small-Business


### 17. [SAS Analytics for IoT](https://www.g2.com/products/sas-analytics-for-iot/reviews)
  For users who need to quickly extract value from their IoT data and investments – in days, not months – SAS Analytics for IoT provides an integrated, business-focused interface that employs a proven way to organize, visualize and act on high volumes of diverse IoT data using a secure, flexible and scalable AI-embedded IoT Analytics platform. This solution’s capabilities are compelling for variety of users including line of business, engineering, IT and data science professional, extending the use of analytics and collaboration the enterprise, and optimizing current IoT investments – SAS, third party and open source. Why is it important? Progress from preventative to predictive and prescriptive analytics is slow as companies struggle with data complexities, and with how AI and machine learning can coexist with existing statistical models. Embedded with advanced analytics and AI, SAS Analytics for IoT offers a solution to the data complexity issue across the analytics lifecycle with a sensor-based data model, streamlined and extensible ETL, an integrated business-focused data selection interface, and high frequency data visualizations that accelerate time to value from IoT data and investments – in days, not months -- without coding or specialized skills. These capabilities translate into millions saved in unplanned downtime, timely improvements in operational excellence that boost bottom line results, and advances in digital transformation that enhance customer experience and generate services to drive new revenue streams. The solution ensures that all types of users across the enterprise can quickly and confidently extract the value they seek from volumes of diverse IoT data and investments – SAS, third party and open source. For whom is it designed? For all types of users across a range of industries including, Manufacturing, CPG, Energy and Retail, who support mission critical processes and digital transformation, SAS Analytics for IoT’s streaming execution engine with AI provides real-time analytics, ensuring timely and accurate decision making. With a streamlined ETL and an extensible data model, users can do ad-hoc analysis and analytic system development without knowledge of the underlying data structure. By integrating data preparation, organization, business-focused data selection and exploration, SAS Analytics for IoT optimizes current IoT investments and skills (SAS, third party and open source), and extends the use of IoT analytics and the power of collaboration across the enterprise.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 19

**User Satisfaction Scores:**

- **Ease of Use:** 7.9/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware (60,996 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,238 employees on LinkedIn®)
- **Phone:** 1-800-727-0025

**Reviewer Demographics:**
  - **Company Size:** 42% Small-Business, 32% Enterprise


### 18. [Elastic Observability](https://www.g2.com/products/elastic-observability/reviews)
  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:** 4.2/5.0
  **Total Reviews:** 88

**User Satisfaction Scores:**

- **Ease of Use:** 7.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 7.6/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Company Website:** https://www.elastic.co
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic (64,541 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (4,986 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** Software Engineer
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 52% Enterprise, 48% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- Alerting System (6 reviews)
- Log Management (6 reviews)
- Monitoring (6 reviews)
- Features (5 reviews)

**Cons:**

- Learning Curve (5 reviews)
- Difficult Learning (4 reviews)
- Log Management (4 reviews)
- Learning Difficulty (3 reviews)
- Log Management Issues (3 reviews)

### 19. [SensorCloud](https://www.g2.com/products/sensorcloud/reviews)
  MicroStrain’s SensorCloud™ is a unique sensor data storage, visualization and remote management platform that leverages powerful cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 23

**User Satisfaction Scores:**

- **Ease of Use:** 8.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Lord](https://www.g2.com/sellers/lord)
- **Year Founded:** 1924
- **HQ Location:** Cary, NC
- **Twitter:** @LORDCorporation (1,929 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/lord-corporation/ (2,436 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 57% Small-Business, 26% Mid-Market


### 20. [Exosite ExoSense IoT](https://www.g2.com/products/exosite-exosense-iot/reviews)
  ExoSense® is a remote condition monitoring application that can be deployed in minutes to provide operational insight into industrial assets, systems, and equipment. It enables any organization to aggregate and visualize sensor data to alert users of critical operating conditions, predict maintenance, optimize processes, and deliver new functionality and services to customers. Find out more at www.exosite.com. The ExoSense application provides: - Real-time data visualization. Remotely view dashboards on any device to quickly understand machine health and reduce the need for onsite visits. - Condition monitoring. Set rule-based notifications and trigger email/SMS alerts based on real-time data to reduce downtime and increase productivity. - Analytics. Leverage operational analytics and data transformations to predict maintenance, improve processes, and enable machine learning. - Code-less customization. Leverage a simple, code-free user interface to add and configure devices, customize branding, set alerts, and more.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 14

**User Satisfaction Scores:**

- **Ease of Use:** 8.9/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.7/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Exosite](https://www.g2.com/sellers/exosite)
- **Year Founded:** 2009
- **HQ Location:** Minneapolis, US
- **Twitter:** @exosite (1,023 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/exosite/ (31 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 33% Small-Business, 27% Mid-Market


### 21. [Blue Bite](https://www.g2.com/products/blue-bite/reviews)
  Our patented platform empowers creators to build dynamic digital experiences and channel them through physical items using technologies like NFC, QR and geofencing. Because physical things are made smarter, users can access valuable content with just a tap or scan of a smartphone.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 10

**User Satisfaction Scores:**

- **Ease of Use:** 7.5/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Blue Bite](https://www.g2.com/sellers/blue-bite)
- **Year Founded:** 2007
- **HQ Location:** New York
- **Twitter:** @bluebite (4,584 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/bluebite/ (23 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 60% Small-Business, 30% Mid-Market


#### Pros & Cons

**Pros:**

- Business Growth (2 reviews)
- Customer Experience (2 reviews)
- Engagement (2 reviews)
- Communication (1 reviews)
- Customer Support (1 reviews)

**Cons:**

- Complexity (1 reviews)
- Complex Usability (1 reviews)
- Limited Functionality (1 reviews)
- Limited Templates (1 reviews)
- Poor Customer Support (1 reviews)

### 22. [ATOm](https://www.g2.com/products/agiledge-solutions-atom/reviews)
  Agiledge Solutions harnesses the power of Digitization, IOT, Location based Analytics and Artificial intelligence in its open, scalable and robust platform to provide “intelligent mobility solutions” of various kinds.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 10

**User Satisfaction Scores:**

- **Ease of Use:** 9.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.5/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Agiledge Solutions](https://www.g2.com/sellers/agiledge-solutions)
- **Year Founded:** 2011
- **HQ Location:** Bengaluru, IN
- **Twitter:** @AgiledgeS (19 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/agiledgesolutions1/ (17 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 42% Mid-Market, 33% Small-Business


### 23. [Initial State](https://www.g2.com/products/initial-state/reviews)
  Initial State is an IoT platform for data visualizations. Stream data from your device and services to beautiful cloud-based data visualizations.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 9

**User Satisfaction Scores:**

- **Ease of Use:** 9.2/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Initial State Technologies](https://www.g2.com/sellers/initial-state-technologies)
- **Year Founded:** 2012
- **HQ Location:** Nashville, US
- **Twitter:** @InitialState (1,351 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/initial-state-technologies/ (6 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 44% Enterprise, 33% Mid-Market


### 24. [Minitab Connect](https://www.g2.com/products/minitab-connect/reviews)
  Minitab Connect® is a data integration solution designed to help users access, blend, and enrich data from various critical sources, enabling meaningful business intelligence and informed decision-making. This platform serves as a bridge for organizations looking to harness the power of their data by providing tools that facilitate seamless data integration, automation, and governance across diverse data environments. Targeted at data users across enterprises, Minitab Connect® caters to professionals in various industries who require efficient methods to analyze and visualize data. The platform is particularly beneficial for organizations that rely on multiple data sources, including databases, cloud applications, unstructured data, and spreadsheets. By offering self-serve tools, Minitab Connect® empowers users to take control of their data analytics initiatives, fostering collaboration and enhancing the overall decision-making process within teams. One of the key features of Minitab Connect® is its flexible and automated workflows, which streamline the data integration process. Users can effortlessly blend data from disparate sources, allowing for a comprehensive view of their information landscape. The platform also includes powerful data preparation and visualization tools, which help users uncover transformative insights that can drive strategic decisions. This capability is essential for organizations aiming to spot trends, solve complex problems, and enhance operational efficiency. Minitab's reputation in the market is underscored by its long-standing history of nearly 50 years in providing data analysis and process improvement tools. With a customer base that includes over 90% of the Fortune 100 and a significant portion of the Fortune 500, Minitab Connect® is trusted by organizations of all sizes and industries. The platform’s user-friendly interface and robust functionality make it an attractive option for those seeking to derive actionable insights from their data, ultimately supporting their commitment to excellence in performance and outcomes.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 28

**User Satisfaction Scores:**

- **Ease of Use:** 8.9/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.8/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b)
- **Company Website:** https://www.minitab.com
- **Year Founded:** 1972
- **HQ Location:** State College, Pennsylvania, United States
- **Twitter:** @Minitab (5,025 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (706 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Information Technology and Services
  - **Company Size:** 61% Enterprise, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (7 reviews)
- Data Integration (3 reviews)
- Easy Integrations (3 reviews)
- Functionality (3 reviews)
- Integrations (3 reviews)

**Cons:**

- Learning Curve (3 reviews)
- Learning Difficulty (3 reviews)
- Poor Visualization (3 reviews)
- Visualization Limitations (3 reviews)
- Complexity (2 reviews)

### 25. [XMPro](https://www.g2.com/products/xmpro/reviews)
  About XMPro iBOS (Intelligent Business Operations Suite) XMPro iBOS is the world’s only AI-powered suite of tools and frameworks specifically designed to empower industrial companies to rapidly compose intelligent business operations and process solutions at scale. Founded in 2009, XMPro has been a pioneer in digital transformation, enabling clients to streamline operations, enhance efficiency, and achieve significant ROI. Our suite accelerates the journey toward becoming smart, connected enterprises. Why Choose XMPro iBOS? In today's fast-paced industrial landscape, companies face significant challenges in optimizing their operations and driving efficiency. Traditional operations management approaches are no longer sufficient. XMPro iBOS offers a comprehensive solution that integrates advanced AI, automation, and digital twins, empowering businesses to achieve rapid digital transformation. Key Features: Intelligence: XMPro's AI capabilities bring intelligence to solution building by leveraging machine learning, natural language processing, and predictive analytics. Automation: From human workflows to fully autonomous operations, XMPro spans the entire spectrum of automation. Digital Twin Scope: The digital twin scope ranges from discrete assets to systems of systems. Flexible Deployment: XMPro iBOS offers flexible deployment options—on-premise, cloud, or hybrid. Data streams can run on the edge for real-time analysis, ensuring seamless integration and optimized performance. Co-Pilot and GenAI Capabilities: XMPro’s Co-Pilot and GenAI capabilities enable users to interrogate real-time data and perform in-depth analysis effortlessly, providing immediate, actionable insights and recommendations. Unified Framework: XMPro allows companies to advance simultaneously across intelligence, automation, and digital twin dimensions, providing a flexible and scalable framework that adapts to evolving needs. This unified solution drives rapid digital transformation, optimizes processes, and fosters a comprehensive understanding of business operations. Real-World Applications: - Condition Monitoring: Monitor equipment health and performance in real-time to predict failures and reduce downtime. - Predictive Maintenance: Use AI and machine learning to forecast maintenance needs and prevent unexpected breakdowns. - Process Optimization: Improve efficiency and productivity by optimizing operational processes. - Energy Management: Enhance energy efficiency and reduce costs by monitoring and managing energy consumption. - Supply Chain Optimization: Streamline supply chain operations for better inventory management and faster delivery times. - Quality Control: Ensure high-quality production by monitoring and analyzing quality metrics in real-time. - Asset Management: Track and manage assets effectively to extend their lifespan and optimize utilization. - Environmental Monitoring: Monitor environmental parameters to ensure compliance and sustainability. - Production Scheduling: Optimize production schedules to maximize throughput and minimize delays. - Golden Batch: Achieve consistent and optimal production batches by analyzing and replicating best-performing batches. - Asset Performance Management (APM): Maximize asset reliability and performance through comprehensive monitoring and analysis. - Overall Equipment Effectiveness (OEE): Enhance equipment efficiency by measuring and improving availability, performance, and quality. - Environmental, Social, and Governance (ESG): Meet ESG goals by monitoring environmental impact, ensuring social responsibility, and maintaining governance standards. Transform Your Operations: Imagine a world where your operations are seamlessly integrated, and all your data flows freely across systems, providing real-time insights and a unified view of your business. With XMPro, this vision becomes a reality, transforming the future of industrial operations with smarter, more efficient processes powered by AI, automation, and digital twins. Get Started Today: Ready to transform your operations? Discover how XMPro iBOS can help you achieve rapid digital transformation, improve operational intelligence, and maintain a competitive edge. Visit our website for more information and schedule a demo today. For more information, visit www.xmpro.com.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 14

**User Satisfaction Scores:**

- **Ease of Use:** 9.1/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.7/10 (Category avg: 8.9/10)


**Seller Details:**

- **Seller:** [XMPro](https://www.g2.com/sellers/xmpro)
- **Year Founded:** 2009
- **HQ Location:** Dallas, TX
- **Twitter:** @xmpro (375 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/xmpro-inc/ (49 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Company Size:** 50% Small-Business, 36% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (4 reviews)
- Features (4 reviews)
- Customer Support (3 reviews)
- Easy Implementation (3 reviews)
- Features Detail (3 reviews)

**Cons:**

- Expensive (2 reviews)
- Performance Issues (2 reviews)
- Time-Consuming (2 reviews)
- Complex Setup (1 reviews)
- Data Management Issues (1 reviews)



## Parent Category

[IoT Management Platforms](https://www.g2.com/categories/iot-management)



## Related Categories

- [IoT Platforms](https://www.g2.com/categories/iot-platforms)
- [IoT Device Management Platforms](https://www.g2.com/categories/iot-device-management-platforms)
- [Industrial IoT Software](https://www.g2.com/categories/industrial-iot)



---

## Buyer Guide

### What You Should Know About IoT Analytics Platforms

### What are IoT Analytics Platforms?

Data analytics is at the core of the Internet of Things (IoT), alongside [process automation](https://www.g2.com/categories/process-automation) and [asset management](https://www.g2.com/categories/asset-management-f3e79baa-6f93-4d40-b734-16e9b562fc14). 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](https://www.g2.com/categories/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](https://www.g2.com/categories/data-visualization), [business intelligence platforms](https://www.g2.com/categories/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](https://www.g2.com/categories/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](https://www.g2.com/categories/analytics) 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](https://www.g2.com/categories/internet-of-things-iot-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.

### Software and Services Related to IoT Analytics Platforms

Realizing the benefits of smart technology is a significant undertaking. There is a great deal of planning, training, and investment that goes into an IoT initiative, including collecting and securing data from distributed platforms. Business leaders should do considerable research on the different types of [IoT management software](https://www.g2.com/categories/iot-management) and services on the market, and work with a consulting firm to determine which solutions to prioritize. The following are professional solutions that complement IoT analytics tools. They all help companies collect insights about their modern systems, and optimize their operation using groundbreaking technology.

[**Stream analytics software**](https://www.g2.com/categories/stream-analytics) **—** Stream analytics, also known as streaming analytics, is the study of data transferred between applications and exchanges, both historically and in real time. Stream analytics software enables the capture and analysis of this information. These platforms allow users to understand the flow and retrieval of data by disparate end points. A major use case for this is monitoring IoT telemetry across end points and the events pertaining to information exchange. If data is not received correctly, users of stream analytics tools can be notified and given insights into streaming issues. The platforms in this category are a natural complement to IoT analytics platforms, ensuring companies stay informed about the continuous flow of information between connected objects so devices can reliably execute tasks and generate their own insights.

[**Big data analytics software**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics involves the consumption of massive data clusters, culling the most notable findings using advanced data queries. Big data and [big data software](https://www.g2.com/categories/big-data) are increasingly common across a number of industries. With the rise of IoT, substantial data clusters are the focus of big data analytics and include observable information that can be exported from smart devices. If a business desires to analyze IoT data as part of a larger pool of data, they might consider a big data analytics tool such as those featured in this category. While IoT analytics solutions offer actionable insights into specific data generated by connected platforms, big data analytics can study these findings in relation to other critical data collected from various sources. This practice paints a more complete picture of relevant data patterns across the operation. Users can create detailed visualizations and record their queries into data sets to share discoveries with internal teams, business partners, and investors. Some platforms offer specific features for monitoring IoT data and collections of big data.

[**IoT device management software**](https://www.g2.com/categories/iot-device-management) **—** Depending on the size and scope of IoT strategy, hundreds or thousands of devices are configured to work together and communicate information with one another and the network itself. Proper management, troubleshooting, and updates to these devices is essential for accurate data collection. This ensures each device performs the expected actions and generates the right insights. After designing and deploying an IoT network using [IoT platforms](https://www.g2.com/categories/iot-platforms), businesses may use IoT device management tools to monitor the state of their devices and maintain them as needed. At the very least, these platforms assist with pushing software and firmware updates required with certain devices and sensors. IoT device management tools provide assistance with device permissions and device vulnerability tracking, among other things. To receive the best possible data from smart devices, IT administrators need to make a consistent effort toward device tracking and organization. IoT device managers help prepare teams for success and ensure they maintain visibility and control over a company’s IoT infrastructure.

[**IoT security services providers**](https://www.g2.com/categories/iot-security-services) **—** The power of IoT and device analytics comes paired with the responsibility of keeping these systems protected from unwanted access, theft, viruses, and other threats. Smart connectivity is a term used to describe the reliable connection of complex networks, including those used in edge computing and IoT networks. This connectivity requires reliable, uninterrupted transmission of data, and the ability to withstand environmental influences and malicious activity. Companies might require lots of outside assistance to supplement internal efforts and maintain a high degree of reliability. This is where IoT security services can help. IoT security providers are specialized firms that help companies configure IoT systems for optimum performance and consistency in the face of untold threats. Cybercrime is evolving, especially as new vulnerabilities are introduced. The specialists in this category can be enlisted to keep systems updated, adding or adjusting layers of protection based on the changing landscape of potential dangers.

When mapping out a security strategy, businesses might also consider [data security services](https://www.g2.com/categories/data-security-services) to bolster internal defense efforts. Data security experts can assist with protecting large volumes of critical business data, up to and including data sets generated by smart objects. A number of IoT security services providers offer solutions for protecting IoT data from external threats. A company might desire a more comprehensive program that touches on all aspects of data protection and the various groupings of data a business might collect. Data services providers can offer strategic advice, train employees on security practices, and assist with the implementation of [security software](https://www.g2.com/categories/security) so teams can maintain a consistent level of protection for data and company systems using internal resources. In some cases they can remotely monitor and respond to data-related threats in a business. In the current age, there is no limit to the security measures a company should consider, especially as operations are increasingly built on a foundation of technology. Compromised data, including IoT-related analytics, can be detrimental to a business and also place its employees and customers at serious risk. When adopting an IoT strategy, managers should take measures to keep assets and business data as safe as possible.