# 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 ## How Many IoT Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 140 ### Category Stats (Jul 2026) - **Average Rating**: 4.41/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Guidewheel (+1.29%) - Among all products in this category, Guidewheel recorded the largest rating increase compared to last month *Last updated: July 04, 2026* ## How Does G2 Rank IoT Analytics Platforms Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 2,400+ Authentic Reviews - 140+ 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. ## Which IoT Analytics Platforms Is Best for Your Use Case? - **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) --- **Sponsored** ### Onomondo Onomondo is an IoT connectivity platform that turns telecom complexity into clarity. Our cloud native core unifies 600+ carrier networks, delivering M2M connectivity with NB-IoT, LTE-M, and traditional cellular technologies across 180+ countries through one API and platform. Our global IoT SIMs connect devices in logistics, automotive, energy, and beyond, with use cases from EV chargers to asset tracking. With real-time diagnostics and simple data routing, teams can identify issues in minutes and launch at scale. From the first prototype to a global fleet, Onomondo keeps infrastructure invisible so innovators can focus on building. IoT SIMs Efficiently deploy one SIM, APN, and SKU. Save time and effort on configuring and inventory management. Coverage Create coverage maps exactly where you need them. With non-steered SIMs, connect devices to over 650+ networks in 180+ countries. Platform Control and monitor your entire IoT fleet with our powerful platform, featuring real-time insights. Insights Quickly fix issues and keep devices online. Access the data you need to solve problems with our powerful network insight tools. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1772&secure%5Bchosen_at%5D=2026-07-05T01%3A10%3A36Z&secure%5Bdisplayable_resource_id%5D=1775&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=neighbor_category&secure%5Bplacement_resource_ids%5D%5B%5D=1775&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=139341&secure%5Bresource_id%5D=1772&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fiot-analytics-platforms&secure%5Btoken%5D=4803953550822de41b5311aad11ea57ebef858ed4538a539c645d3723e658639&secure%5Burl%5D=https%3A%2F%2Fwww.onomondo.com%2F&secure%5Burl_type%5D=company_website) --- ## What Are the Top-Rated IoT Analytics Platforms Products in 2026? ### 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:** 4.5/5.0 **Total Reviews:** 63 **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?** - **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 (36,972 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/28423178/ (20,941 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Industrial Automation, Food & Beverages - **Company Size:** 36% Enterprise, 33% Small-Business #### What Are Insights Hub's Pros and 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) ### What Do G2 Reviewers Say About Insights Hub? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Insights Hub, enjoying its intuitive interface and efficient support. - Users value the **integrated data solution** of Insights Hub, enhancing performance monitoring and supporting dynamic decision-making. - Users appreciate the **user-friendly interface** of Insights Hub, simplifying data management and enhancing decision-making efficiency. - Users enjoy the **easy integrations** with Insights Hub, enhancing data accessibility across multiple teams and tools. - Users value the **custom dashboards** of Insights Hub for their intuitive design and ability to centralize diverse data sources. **Cons:** - Users find the **learning curve steep** for Insights Hub, citing complexity and poor navigation for new users. - Users desire enhanced **customization options** for report designs, finding current capabilities somewhat limiting for their needs. - Users find **navigation issues** in Insights Hub to complicate usability and hinder effective data analysis. - Users experience **poor usability** in Insights Hub due to a complex interface and challenging navigation options. - Users find **difficult navigation** a barrier, especially for non-experts, complicating their overall experience with Insights Hub. #### What Are Recent G2 Reviews of Insights Hub? **"[Efficient Tool for Monitoring and Reporting](https://www.g2.com/survey_responses/insights-hub-review-11921221)"** **Rating:** 4.5/5.0 stars *— Rajendra M.* [Read full review](https://www.g2.com/survey_responses/insights-hub-review-11921221) --- **"[Effortless Insights and Seamless Collaboration with Insight Hub](https://www.g2.com/survey_responses/insights-hub-review-12029050)"** **Rating:** 5.0/5.0 stars *— tanmay D.* [Read full review](https://www.g2.com/survey_responses/insights-hub-review-12029050) --- ### 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:** 55 **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](https://www.g2.com/sellers/tagoio) - **Company Website:** https://tago.io - **Year Founded:** 2014 - **HQ Location:** Raleigh, US - **Twitter:** @tagoio (878 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/tago.io (26 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Industrial Automation, Farming - **Company Size:** 78% Small-Business, 14% Mid-Market #### What Are TagoIO's Pros and 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) ### What Do G2 Reviewers Say About TagoIO? *AI-generated summary from verified user reviews* **Pros:** - Users find TagoIO's platform extremely **easy to use** , enhancing their development experience with excellent support and tools. - Users value the **flexibility** of TagoIO, seamlessly adapting to varying needs and enhancing dashboard sharing capabilities. - Users appreciate the **user-friendly interface** of TagoIO, enabling quick onboarding and efficient IoT device management. - Users appreciate the **custom dashboards** of TagoIO, noting their ease of use and flexibility for real-time monitoring. - Users value the **easy integrations** of TagoIO, enabling quick setup and seamless connections with various IoT devices. **Cons:** - Users note a **steep learning curve** with TagoIO, which can be daunting for newcomers due to its extensive features. - Users are concerned about the **high pricing** of TagoIO, feeling that costs could be more affordable. - Users find the **complexity in dashboard building** , causing repetitive tasks and a steep learning curve for configuration. - Users feel frustrated by the **limited customization** options in TagoIO, especially with available widgets and templates. - Users note **poor documentation** for advanced features and troubleshooting, complicating the learning process and usage experience. #### What Are Recent G2 Reviews of TagoIO? **"[Fast and Flexible IoT Development for Mining Applications](https://www.g2.com/survey_responses/tagoio-review-12436606)"** **Rating:** 5.0/5.0 stars *— Alexandre D.* [Read full review](https://www.g2.com/survey_responses/tagoio-review-12436606) --- **"[Solid uptime and open JSON integrations with powerful LoRaWAN support](https://www.g2.com/survey_responses/tagoio-review-12643862)"** **Rating:** 4.5/5.0 stars *— Central N.* [Read full review](https://www.g2.com/survey_responses/tagoio-review-12643862) --- ### 3. [Rayven](https://www.g2.com/products/rayven/reviews) 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](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/ (33 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 69% Mid-Market, 52% Small-Business #### What Are Rayven's Pros and 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) ### What Do G2 Reviewers Say About Rayven? *AI-generated summary from verified user reviews* **Pros:** - Users find Rayven's **ease of use** exceptional, simplifying automation and integration with intuitive drag-and-drop tools. - Users appreciate Rayven's **robust real-time data handling** and advanced AI capabilities for operational efficiency and flexibility. - Users value the **automation capabilities** of Rayven, enabling seamless integration and real-time data tracking for enhanced efficiency. - Users value Rayven's **customization capabilities** , allowing tailored solutions for seamless integration and enhanced operational efficiency. - Users commend Rayven for its **robust data management capabilities** , ensuring efficient operations with minimal latency and high reliability. **Cons:** - Users experience a **steep learning curve** due to complex configurations, making initial setup overwhelming for beginners. - Users find the **difficult learning curve** with Rayven challenging, requiring time and support for effective usage. - Users experience a **steep initial learning curve** with Rayven, requiring time and support for effective onboarding. - Users find the **complex setup** of Rayven challenging, especially for advanced features and multi-site deployments. - Users find the **setup complexity** challenging, requiring significant time and technical knowledge for optimal configuration. #### What Are Recent G2 Reviews of Rayven? **"[Seamless Automation and Predictive Maintenance with Rayven](https://www.g2.com/survey_responses/rayven-review-12211094)"** **Rating:** 5.0/5.0 stars *— Keith N.* [Read full review](https://www.g2.com/survey_responses/rayven-review-12211094) --- **"[Rayven's Low-Code Platform is the Fastest Way to Build and Scale Intelligent Apps](https://www.g2.com/survey_responses/rayven-review-11780301)"** **Rating:** 5.0/5.0 stars *— John M.* [Read full review](https://www.g2.com/survey_responses/rayven-review-11780301) --- ### 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:** 396 **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](https://www.g2.com/sellers/sap) - **Company Website:** https://www.sap.com/ - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, System Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 39% Enterprise, 36% Mid-Market #### What Are SAP Business Technology Platform's Pros and 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) ### 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 BTP, enjoying seamless integration and a user-friendly development environment. - Users love the **seamless integration** capabilities of SAP BTP, enabling efficient connections and streamlined workflows across platforms. - Users value the **easy integrations** with external applications, enhancing workflows and simplifying cloud to on-premise connections. - Users appreciate the **comprehensive integration of data and app development** offered by SAP BTP for streamlined operations. - Users value the **centralized data management** capabilities of SAP BTP, enhancing integration and analytics efficiently. **Cons:** - Users face a **steep learning curve** with SAP BTP, making initial setup and navigation challenging for newcomers. - Users struggle with the **complexity** of SAP BTP, finding it overwhelming and difficult to navigate initially. - Users express concerns about the **high costs** associated with SAP BTP, particularly regarding pricing transparency and unforeseen expenses. - Users often struggle with the **learning difficulty** of SAP BTP, finding it complex and overwhelming initially. - Users find the **difficult learning** process challenging, especially without prior training or knowledge of the platform. #### What Are Recent G2 Reviews of SAP Business Technology Platform? **"[Powerful Integration with Moderate Learning Curve](https://www.g2.com/survey_responses/sap-business-technology-platform-review-12905606)"** **Rating:** 4.0/5.0 stars *— Navin M.* [Read full review](https://www.g2.com/survey_responses/sap-business-technology-platform-review-12905606) --- **"[Scalable platform for building and integrating enterprise applications](https://www.g2.com/survey_responses/sap-business-technology-platform-review-12388393)"** **Rating:** 4.5/5.0 stars *— Dharamveer p.* [Read full review](https://www.g2.com/survey_responses/sap-business-technology-platform-review-12388393) --- #### What Are G2 Users Discussing About SAP Business Technology Platform? - [What is SAP Leonardo used for?](https://www.g2.com/discussions/what-is-sap-leonardo-used-for) - 2 comments, 1 upvote - [What is SAP Leonardo IoT?](https://www.g2.com/discussions/what-is-sap-leonardo-iot) - 1 comment ### 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:** 53 **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](https://www.g2.com/sellers/tractian) - **Company Website:** https://tractian.com/ - **Year Founded:** 2019 - **HQ Location:** Atlanta, GA - **Twitter:** @tractian (523 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/get-tractian (444 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Manufacturing, Food & Beverages - **Company Size:** 42% Mid-Market, 21% Small-Business #### What Are TRACTIAN's Pros and Cons? **Pros:** - Ease of Use (23 reviews) - Customer Support (14 reviews) - Real-time Monitoring (13 reviews) - Real-Time Monitoring (12 reviews) - Efficiency (11 reviews) **Cons:** - Complex Usability (10 reviews) - Difficult Learning (9 reviews) - Expensive (6 reviews) - Learning Curve (5 reviews) - Usability Issues (4 reviews) ### What Do G2 Reviewers Say About TRACTIAN? *AI-generated summary from verified user reviews* **Pros:** - Users find TRACTIAN's interface to be **very user-friendly** , enabling simple interpretation and easy implementation for effective monitoring. - Users praise the **timely and precise customer support** of TRACTIAN, enhancing their overall experience and satisfaction. - Users appreciate the **real-time monitoring** of TRACTIAN, facilitating effective equipment management and reducing unplanned downtime. - Users appreciate TRACTIAN for its **real-time monitoring capabilities** , enhancing equipment management and reducing unexpected downtimes. - Users value the **efficiency** of TRACTIAN, enhancing productivity by streamlining machine health tracking and maintenance processes. **Cons:** - Users find the **complex usability** of TRACTIAN challenging, particularly for phone interfaces and intricate setups. - Users find the **difficult learning curve** challenging, requiring significant training to utilize TRACTIAN's features effectively. - Users feel the product is **expensive** , requiring a budget adjustment and additional training for effective use. - Users note a **steep learning curve** , requiring training and time to navigate TRACTIAN effectively, especially for complex setups. - Users find the **usability issues** in TRACTIAN frustrating, particularly with complex setups and unclear mobile interface. #### What Are Recent G2 Reviews of TRACTIAN? **"[Versatile OEE and CMMS, but Setup Needs Improvement](https://www.g2.com/survey_responses/tractian-review-12679275)"** **Rating:** 4.5/5.0 stars *— Thomas T.* [Read full review](https://www.g2.com/survey_responses/tractian-review-12679275) --- **"[Streamlines Asset Monitoring with Ease](https://www.g2.com/survey_responses/tractian-review-12695371)"** **Rating:** 5.0/5.0 stars *— Jane G.* [Read full review](https://www.g2.com/survey_responses/tractian-review-12695371) --- ### 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 **How Do G2 Users Rate Google Cloud IoT Core?** - **Ease of Use:** 7.7/10 (Category avg: 8.9/10) - **Quality of Support:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind Google Cloud IoT Core?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Company Size:** 47% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of Google Cloud IoT Core? **"[Google Cloud IoT Core Analytics feature is nice!](https://www.g2.com/survey_responses/google-cloud-iot-core-review-7212836)"** **Rating:** 5.0/5.0 stars *— Deepak Kumar N.* [Read full review](https://www.g2.com/survey_responses/google-cloud-iot-core-review-7212836) --- **"[Google Cloud IoT Review](https://www.g2.com/survey_responses/google-cloud-iot-core-review-6911727)"** **Rating:** 4.0/5.0 stars *— Alexander K.* [Read full review](https://www.g2.com/survey_responses/google-cloud-iot-core-review-6911727) --- #### What Are G2 Users Discussing About Google Cloud IoT Core? - [What is Google Cloud IoT Core used for?](https://www.g2.com/discussions/what-is-google-cloud-iot-core-used-for) ### 7. [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 **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?** - **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 (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Company Size:** 40% Small-Business, 35% Enterprise #### What Are Recent G2 Reviews of AWS IoT Analytics? **"[Analyse massive volumes of data from IOT at scale](https://www.g2.com/survey_responses/aws-iot-analytics-review-6838332)"** **Rating:** 5.0/5.0 stars *— Aman M.* [Read full review](https://www.g2.com/survey_responses/aws-iot-analytics-review-6838332) --- **"[AWS IoT analytics](https://www.g2.com/survey_responses/aws-iot-analytics-review-5342395)"** **Rating:** 5.0/5.0 stars *— mostofa m.* [Read full review](https://www.g2.com/survey_responses/aws-iot-analytics-review-5342395) --- #### What Are G2 Users Discussing About AWS IoT Analytics? - [How do I use AWS IoT Analytics?](https://www.g2.com/discussions/how-do-i-use-aws-iot-analytics) - [What analytics software does Amazon use?](https://www.g2.com/discussions/what-analytics-software-does-amazon-use) - [What are the key use cases of AWS IoT Analytics?](https://www.g2.com/discussions/what-are-the-key-use-cases-of-aws-iot-analytics) - [What are the two functions of AWS IoT Analytics?](https://www.g2.com/discussions/what-are-the-two-functions-of-aws-iot-analytics) - 1 comment ### 8. [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 **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](https://www.g2.com/sellers/mathworks) - **Year Founded:** 1984 - **HQ Location:** Natick, MA - **Twitter:** @MATLAB (105,142 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1194036/ (7,860 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 40% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of ThingSpeak? **"[Easy-to-Use Platform for IoT Data Collection and Analytics](https://www.g2.com/survey_responses/thingspeak-review-12677583)"** **Rating:** 4.5/5.0 stars *— Vivek S.* [Read full review](https://www.g2.com/survey_responses/thingspeak-review-12677583) --- **"[Thingspeak- The best tool for prototyping IoT systems](https://www.g2.com/survey_responses/thingspeak-review-5394017)"** **Rating:** 5.0/5.0 stars *— Shiv Shikhar S.* [Read full review](https://www.g2.com/survey_responses/thingspeak-review-5394017) --- #### What Are G2 Users Discussing About ThingSpeak? - [Which language is used in ThingSpeak?](https://www.g2.com/discussions/which-language-is-used-in-thingspeak) - 1 upvote - [What is ThingSpeak and how it works?](https://www.g2.com/discussions/what-is-thingspeak-and-how-it-works) - [What is ThingSpeak software?](https://www.g2.com/discussions/what-is-thingspeak-software) - 1 comment - [What are the features of ThingSpeak?](https://www.g2.com/discussions/what-are-the-features-of-thingspeak) - 1 comment ### 9. [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 **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](https://www.g2.com/sellers/seeq-corporation) - **Company Website:** https://www.seeq.com - **Year Founded:** 2013 - **HQ Location:** Seattle, Washington - **Twitter:** @SeeqCorporation (959 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3126445/ (299 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Process Engineer - **Top Industries:** Oil & Energy, Chemicals - **Company Size:** 58% Enterprise, 32% Mid-Market #### What Are Seeq's Pros and Cons? **Pros:** - Data Analysis (29 reviews) - Ease of Use (24 reviews) - Features (19 reviews) - Analysis Capabilities (14 reviews) - Automation (10 reviews) **Cons:** - Difficult Learning (16 reviews) - Complex Usability (15 reviews) - Learning Curve (10 reviews) - Learning Difficulty (7 reviews) - UX Improvement (5 reviews) ### What Do G2 Reviewers Say About Seeq? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data analysis capabilities** of Seeq, enabling insightful visualization and knowledge sharing across teams. - Users find Seeq's **ease of use** impressive, enabling quick data analysis and efficient decision-making across various professions. - Users find Seeq's **user-friendly interface and automation** invaluable for quickly gaining actionable insights and enhancing performance. - Users value the **intuitive analysis capabilities** of Seeq, simplifying time series data exploration and trend identification. - Users value the **automation capabilities** of Seeq, significantly enhancing data analysis efficiency and decision-making speed. **Cons:** - Users find the **difficult learning** curve of Seeq challenging, especially when navigating its complex features alone. - Users find Seeq's interface **not user friendly** , struggling with time series visualization and AI agent confusion. - Users find the **learning curve steep** , requiring assistance to effectively utilize Seeq's advanced features. - Users find **learning Seeq challenging** , especially mastering formulas and navigating the tool without guidance. - Users find the **interface not user friendly** , hindering effective visualization of LIMS quality and time series data. #### What Are Recent G2 Reviews of Seeq? **"[My seeq review](https://www.g2.com/survey_responses/seeq-review-11719959)"** **Rating:** 5.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/seeq-review-11719959) --- **"[Seeq Accelerates Digital Transformation and Transforms Business Processes](https://www.g2.com/survey_responses/seeq-review-12061217)"** **Rating:** 4.5/5.0 stars *— Simon T.* [Read full review](https://www.g2.com/survey_responses/seeq-review-12061217) --- #### What Are G2 Users Discussing About Seeq? - [How much does seeq cost?](https://www.g2.com/discussions/how-much-does-seeq-cost) - 1 upvote - [What is seeq cortex?](https://www.g2.com/discussions/what-is-seeq-cortex) - 1 comment - [What does seeq stand for?](https://www.g2.com/discussions/what-does-seeq-stand-for) - [What is seeq used for?](https://www.g2.com/discussions/what-is-seeq-used-for) ### 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 **How Do G2 Users Rate AWS IoT SiteWise?** - **Ease of Use:** 8.7/10 (Category avg: 8.9/10) - **Quality of Support:** 8.5/10 (Category avg: 8.9/10) **Who Is the Company Behind AWS IoT SiteWise?** - **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 (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (156,424 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 43% Small-Business, 33% Enterprise #### What Are Recent G2 Reviews of AWS IoT SiteWise? **"[AWS IOT SiteWise Managed Service Review](https://www.g2.com/survey_responses/aws-iot-sitewise-review-6735423)"** **Rating:** 4.0/5.0 stars *— claudia c.* [Read full review](https://www.g2.com/survey_responses/aws-iot-sitewise-review-6735423) --- **"[AWS IoT SiteWise - Pros and Cons At A Glance](https://www.g2.com/survey_responses/aws-iot-sitewise-review-6740765)"** **Rating:** 5.0/5.0 stars *— Mushahid A.* [Read full review](https://www.g2.com/survey_responses/aws-iot-sitewise-review-6740765) --- #### What Are G2 Users Discussing About AWS IoT SiteWise? - [What are the advantages of Amazon Web Services for IoT?](https://www.g2.com/discussions/what-are-the-advantages-of-amazon-web-services-for-iot) - [What are the AWS IoT components?](https://www.g2.com/discussions/what-are-the-aws-iot-components) - [Where does AWS SiteWise store data?](https://www.g2.com/discussions/where-does-aws-sitewise-store-data) - 1 comment ### 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 **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](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/ (113 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Paper & Forest Products - **Company Size:** 62% Mid-Market, 31% Enterprise #### What Are dataPARC's Pros and 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) ### What Do G2 Reviewers Say About dataPARC? *AI-generated summary from verified user reviews* **Pros:** - Users value the **customizability** of dataPARC, enabling personalized displays and advanced features for varying expertise levels. - Users value the **robust data analysis capabilities** of dataPARC, enhancing their monitoring and operational efficiency. - Users appreciate the **data visualization capabilities** of dataPARC, finding it simple and expansive for their needs. - Users appreciate the **ease of use** of dataPARC, with its intuitive layout simplifying navigation and task execution. - Users value the **personalized displays and extensive depth** of dataPARC, catering to both novices and experienced users. **Cons:** - Users find the **complex usability** of dataPARC challenging due to insufficient examples and explanations for VB commands. - Users find **data management issues** challenging due to the lack of examples and clear explanations in the manual. - Users find the **difficult learning** curve with dataPARC due to insufficient examples and complex VB language resources. - Users find the **learning curve steep** , particularly lacking examples and clear explanations for the VB language in dataPARC. - Users find a **lack of VB expertise guidance** in dataPARC, making it challenging for novices to utilize effectively. #### What Are Recent G2 Reviews of dataPARC? **"[Great Tool for Technical and Non-Technical Users alike](https://www.g2.com/survey_responses/dataparc-review-11487365)"** **Rating:** 4.5/5.0 stars *— Verified User in Paper & Forest Products* [Read full review](https://www.g2.com/survey_responses/dataparc-review-11487365) --- **"[Ease of Use and Quick Response, But the Manual Could Improve](https://www.g2.com/survey_responses/dataparc-review-11960468)"** **Rating:** 5.0/5.0 stars *— Unidades K G.* [Read full review](https://www.g2.com/survey_responses/dataparc-review-11960468) --- #### What Are G2 Users Discussing About dataPARC? - [What is dataPARC used for?](https://www.g2.com/discussions/what-is-dataparc-used-for) - 1 comment ### 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 **How Do G2 Users Rate Plutoshift?** - **Ease of Use:** 9.5/10 (Category avg: 8.9/10) - **Quality of Support:** 9.3/10 (Category avg: 8.9/10) **Who Is the Company Behind Plutoshift?** - **Seller:** [Plutoshift](https://www.g2.com/sellers/plutoshift) - **Year Founded:** 2024 - **HQ Location:** Palo Alto, California - **Twitter:** @plutoshift (229 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/plutoshift-ai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software - **Company Size:** 65% Mid-Market, 25% Enterprise #### What Are Plutoshift's Pros and Cons? **Pros:** - Data Analysis (10 reviews) - Features (8 reviews) - Support Efficiency (8 reviews) - Analysis Capabilities (6 reviews) - Analytics (6 reviews) **Cons:** - Complex Usability (6 reviews) - Complexity (3 reviews) - Integration Issues (3 reviews) - Learning Curve (3 reviews) - Difficult Setup (2 reviews) ### What Do G2 Reviewers Say About Plutoshift? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data analysis** of Plutoshift, enabling informed decision-making through simplified insights and automation. - Users value the **real-time actionable insights** provided by Plutoshift, enhancing decision-making through advanced analytics. - Users value the **responsive support team** of Plutoshift, enhancing overall efficiency and assistance with complex data management. - Users value the **robust analysis capabilities** of Plutoshift, enabling effective decision-making with real-time insights. - Users value the **real-time actionable data** that Plutoshift provides, greatly enhancing decision-making processes. **Cons:** - Users find Plutoshift's **complex usability** challenging, especially for those lacking technical skills and requiring quick support. - Users find the **complex setup process** of Plutoshift challenging, especially those unfamiliar with the system. - Users find that **integration issues** lead to time-consuming setups and challenges with legacy systems. - Users find the **learning curve steep** with Plutoshift, especially for those lacking technical expertise. - Users find the **difficult setup** process time-consuming and challenging, especially for those less tech-savvy. #### What Are Recent G2 Reviews of Plutoshift? **"[Simplifies Resource Management with Easy Setup](https://www.g2.com/survey_responses/plutoshift-review-12393684)"** **Rating:** 4.0/5.0 stars *— Jeni J.* [Read full review](https://www.g2.com/survey_responses/plutoshift-review-12393684) --- **"[Committed to Managing Sites Operations.](https://www.g2.com/survey_responses/plutoshift-review-10796025)"** **Rating:** 4.5/5.0 stars *— Davide P.* [Read full review](https://www.g2.com/survey_responses/plutoshift-review-10796025) --- ### 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 **How Do G2 Users Rate TrendMiner?** - **Ease of Use:** 8.8/10 (Category avg: 8.9/10) - **Quality of Support:** 9.2/10 (Category avg: 8.9/10) **Who Is the Company Behind TrendMiner?** - **Seller:** [TrendMiner](https://www.g2.com/sellers/trendminer) - **Company Website:** https://www.trendminer.com/ - **Year Founded:** 2008 - **HQ Location:** Hasselt, Flemish Region - **Twitter:** @TrendMining (777 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/trendminer/ (89 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Process Engineer, Process Analytics Engineer - **Top Industries:** Chemicals, Oil & Energy - **Company Size:** 53% Enterprise, 35% Mid-Market #### What Are TrendMiner's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Speed (7 reviews) - Insights (6 reviews) - Real-Time Monitoring (6 reviews) - Customer Support (5 reviews) **Cons:** - Complex Usability (8 reviews) - Difficult Learning (4 reviews) - Complexity (3 reviews) - Learning Curve (3 reviews) - Tool Limitations (3 reviews) ### What Do G2 Reviewers Say About TrendMiner? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **intuitive design** of TrendMiner, making it effortlessly accessible and quick to learn. - Users appreciate the **quick insights** TrendMiner provides, making data analysis efficient and user-friendly. - Users value the **quick insights** provided by TrendMiner, enhancing operational monitoring and decision-making efficiency. - Users value the **real-time monitoring** of TrendMiner, enabling quick insights and effective production management. - Users praise the **responsive customer support** , appreciating the quick assistance and effective feedback implementation. **Cons:** - Users find the **complex usability** of TrendMiner challenging, especially in connecting data sources and learning the interface. - Users struggle with **difficult learning** due to a lack of adequate training materials and the need for technical skills. - Users find that the **complexity** of advanced functions requires training and makes system administration cumbersome. - Users find the **learning curve steep** , struggling with extensive features and requiring focused training to grasp functionality. - Users face **tool limitations** with TrendMiner, particularly lacking a mobile app and facing nesting and custom calculation restrictions. #### What Are Recent G2 Reviews of TrendMiner? **"[Powerful tool for getting a good overview to detailed granular analitics](https://www.g2.com/survey_responses/trendminer-review-11789103)"** **Rating:** 4.5/5.0 stars *— Edward B.* [Read full review](https://www.g2.com/survey_responses/trendminer-review-11789103) --- **"[Simple Visualization, Quick Analysis](https://www.g2.com/survey_responses/trendminer-review-11788512)"** **Rating:** 4.5/5.0 stars *— Susana S.* [Read full review](https://www.g2.com/survey_responses/trendminer-review-11788512) --- #### What Are G2 Users Discussing About TrendMiner? - [How has Software AG TrendMiner supported your industrial analytics, and what features do you rely on?](https://www.g2.com/discussions/how-has-software-ag-trendminer-supported-your-industrial-analytics-and-what-features-do-you-rely-on) - [What is TrendMiner used for?](https://www.g2.com/discussions/what-is-trendminer-used-for) - 1 comment ### 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:** 709 **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](https://www.g2.com/sellers/datadog) - **Company Website:** https://www.datadoghq.com/ - **Year Founded:** 2010 - **HQ Location:** New York - **Twitter:** @datadoghq (51,207 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1066442/ (9,386 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, DevOps Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 34% Enterprise #### What Are Datadog's Pros and Cons? **Pros:** - Monitoring (150 reviews) - Ease of Use (145 reviews) - Real-time Monitoring (122 reviews) - Features (98 reviews) - Analytics (94 reviews) **Cons:** - Expensive (102 reviews) - Pricing Issues (81 reviews) - Learning Curve (75 reviews) - Cost (65 reviews) - Learning Difficulty (56 reviews) ### What Do G2 Reviewers Say About Datadog? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive monitoring tools** of Datadog, finding it easy to gain insights and support. - Users appreciate the **ease of use** of Datadog, enjoying seamless integrations and intuitive dashboard creation. - Users appreciate the **real-time monitoring** capabilities of Datadog, enhancing their operational efficiency and responsiveness. - Users appreciate the **robust and user-friendly features** of Datadog, enhancing their monitoring and integration capabilities. - Users commend the **intuitive analytics and dashboard creation** in Datadog, facilitating seamless user session tracking. **Cons:** - Users find the **subscription cost too high** , feeling Datadog could offer better value for money. - Users express concerns about **pricing issues** , as costs can escalate rapidly and appear excessively high. - Users find the **steep learning curve** challenging, especially with frequent updates and advanced features to master. - Users feel that the **cost is too high** , especially as expenses can scale quickly with added features. - Users experience a **learning difficulty** due to a steep curve and complicated setup, especially for newcomers. #### What Are Recent G2 Reviews of Datadog? **"[Unified Observability with Powerful Integrations and Fast Root Cause Analysis](https://www.g2.com/survey_responses/datadog-review-12783228)"** **Rating:** 4.5/5.0 stars *— Ravindra N.* [Read full review](https://www.g2.com/survey_responses/datadog-review-12783228) --- **"[Faster incident detection and root-cause analysis, leading to better customer experience.](https://www.g2.com/survey_responses/datadog-review-12850013)"** **Rating:** 4.5/5.0 stars *— Bertrand P.* [Read full review](https://www.g2.com/survey_responses/datadog-review-12850013) --- #### What Are G2 Users Discussing About Datadog? - [How good is Datadog?](https://www.g2.com/discussions/how-good-is-datadog) - [Does Datadog use AWS?](https://www.g2.com/discussions/does-datadog-use-aws) - 2 comments - [What can Datadog monitor?](https://www.g2.com/discussions/what-can-datadog-monitor) - [What is the use of Datadog?](https://www.g2.com/discussions/what-is-the-use-of-datadog) - 3 comments ### 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 **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](https://www.g2.com/sellers/cisco) - **Year Founded:** 1984 - **HQ Location:** San Jose, CA - **Twitter:** @Cisco (720,366 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,545 employees on LinkedIn®) - **Ownership:** NASDAQ:CSCO **Who Uses This Product?** - **Company Size:** 57% Small-Business, 21% Mid-Market #### What Are Recent G2 Reviews of Cisco Edge Intelligence? **"[Ease to use](https://www.g2.com/survey_responses/cisco-edge-intelligence-review-5327494)"** **Rating:** 4.5/5.0 stars *— Arif H.* [Read full review](https://www.g2.com/survey_responses/cisco-edge-intelligence-review-5327494) --- **"[easy to connect distributed devices](https://www.g2.com/survey_responses/cisco-edge-intelligence-review-5389011)"** **Rating:** 5.0/5.0 stars *— Verified User in Industrial Automation* [Read full review](https://www.g2.com/survey_responses/cisco-edge-intelligence-review-5389011) --- ### 16. [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 **How Do G2 Users Rate Elastic Observability?** - **Ease of Use:** 7.3/10 (Category avg: 8.9/10) - **Quality of Support:** 7.6/10 (Category avg: 8.9/10) **Who Is the Company Behind Elastic Observability?** - **Seller:** [Elastic](https://www.g2.com/sellers/elastic) - **Company Website:** https://www.elastic.co - **Year Founded:** 2012 - **HQ Location:** San Francisco, CA - **Twitter:** @elastic (65,200 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/814025/ (5,079 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 52% Enterprise, 48% Mid-Market #### What Are Elastic Observability's Pros and 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) ### What Do G2 Reviewers Say About Elastic Observability? *AI-generated summary from verified user reviews* **Pros:** - Users find Elastic Observability's **ease of use** remarkable, facilitating efficient monitoring and quick setup for all skill levels. - Users appreciate the **out-of-the-box features and intuitive dashboards** of Elastic Observability for enhanced operational visibility. - Users value the **excellent log management capabilities** of Elastic Observability for streamlined monitoring and troubleshooting. - Users value the **real-time monitoring** capabilities of Elastic Observability, enhancing troubleshooting and operational visibility significantly. - Users appreciate the **strong out-of-the-box features** and intuitive interface of Elastic Observability for seamless monitoring. **Cons:** - Users find the **learning curve steep** with Elastic Observability, making initial use and navigation somewhat challenging. - Users find the **difficult learning** curve challenging, especially when navigating logs and advanced features for the first time. - Users find the **log management overwhelming** , especially without proper filtering and due to the steep learning curve. - Users find the **learning difficulty** of Elastic Observability challenging, especially for first-time users and new teams. - Users face **log management issues** due to hardware corruptions and lack of log combining functionality in Elastic Observability. #### What Are Recent G2 Reviews of Elastic Observability? **"[Insightful, But Needs Improved Customization](https://www.g2.com/survey_responses/elastic-observability-review-12668298)"** **Rating:** 4.0/5.0 stars *— Sam .* [Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12668298) --- **"[APM is a Game-Changer for GKE Infrastructure](https://www.g2.com/survey_responses/elastic-observability-review-12628710)"** **Rating:** 5.0/5.0 stars *— Ever M.* [Read full review](https://www.g2.com/survey_responses/elastic-observability-review-12628710) --- #### What Are G2 Users Discussing About Elastic Observability? - [Can I use Elasticsearch as a database?](https://www.g2.com/discussions/can-i-use-elasticsearch-as-a-database) - [Can I use Elasticsearch for free?](https://www.g2.com/discussions/can-i-use-elasticsearch-for-free) - 1 comment - [What is elastic search?](https://www.g2.com/discussions/what-is-elastic-search) - [What is elastic search used for?](https://www.g2.com/discussions/what-is-elastic-search-used-for) ### 17. [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 **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](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 39% Enterprise, 39% Small-Business #### What Are Recent G2 Reviews of Oracle Internet of Things Cloud? **"[Creating POC to share run data analytics on data collected from motion sensors deployed at homes.](https://www.g2.com/survey_responses/oracle-internet-of-things-cloud-review-5435027)"** **Rating:** 4.5/5.0 stars *— Ehtisham M.* [Read full review](https://www.g2.com/survey_responses/oracle-internet-of-things-cloud-review-5435027) --- **"[Oracle is the Cloud leader](https://www.g2.com/survey_responses/oracle-internet-of-things-cloud-review-5416289)"** **Rating:** 5.0/5.0 stars *— Sabbir Ahmed L.* [Read full review](https://www.g2.com/survey_responses/oracle-internet-of-things-cloud-review-5416289) --- ### 18. [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 **How Do G2 Users Rate SAS Analytics for IoT?** - **Ease of Use:** 7.9/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) **Who Is the Company Behind SAS Analytics for IoT?** - **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 (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Company Size:** 42% Small-Business, 32% Enterprise #### What Are Recent G2 Reviews of SAS Analytics for IoT? **"[This product has provided great result](https://www.g2.com/survey_responses/sas-analytics-for-iot-review-11133122)"** **Rating:** 4.0/5.0 stars *— Leslie S.* [Read full review](https://www.g2.com/survey_responses/sas-analytics-for-iot-review-11133122) --- **"[Solve specific needs](https://www.g2.com/survey_responses/sas-analytics-for-iot-review-11140803)"** **Rating:** 4.5/5.0 stars *— Carla M.* [Read full review](https://www.g2.com/survey_responses/sas-analytics-for-iot-review-11140803) --- #### What Are G2 Users Discussing About SAS Analytics for IoT? - [What is SAS Analytics for IoT used for?](https://www.g2.com/discussions/what-is-sas-analytics-for-iot-used-for) ### 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 **How Do G2 Users Rate SensorCloud?** - **Ease of Use:** 8.0/10 (Category avg: 8.9/10) - **Quality of Support:** 9.0/10 (Category avg: 8.9/10) **Who Is the Company Behind SensorCloud?** - **Seller:** [Lord](https://www.g2.com/sellers/lord) - **Year Founded:** 1924 - **HQ Location:** Cary, NC - **Twitter:** @LORDCorporation (1,917 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lord-corporation/ (2,448 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 57% Small-Business, 26% Mid-Market #### What Are Recent G2 Reviews of SensorCloud? **"[One of a kind Sensor data visualization remotely with little anomalies](https://www.g2.com/survey_responses/sensorcloud-review-7249819)"** **Rating:** 4.0/5.0 stars *— Nitin S.* [Read full review](https://www.g2.com/survey_responses/sensorcloud-review-7249819) --- **"[Enhance IoT Analysis with SensorCloud](https://www.g2.com/survey_responses/sensorcloud-review-7232407)"** **Rating:** 4.0/5.0 stars *— Devansh R.* [Read full review](https://www.g2.com/survey_responses/sensorcloud-review-7232407) --- ### 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 **How Do G2 Users Rate Exosite ExoSense IoT?** - **Ease of Use:** 8.9/10 (Category avg: 8.9/10) - **Quality of Support:** 9.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Exosite ExoSense IoT?** - **Seller:** [Exosite](https://www.g2.com/sellers/exosite) - **Year Founded:** 2009 - **HQ Location:** Minneapolis, US - **Twitter:** @exosite (1,018 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/exosite/ (31 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Small-Business, 27% Mid-Market #### What Are Recent G2 Reviews of Exosite ExoSense IoT? **"[User Friendly cloud dashboard](https://www.g2.com/survey_responses/exosite-exosense-iot-review-5349800)"** **Rating:** 5.0/5.0 stars *— Jerry W.* [Read full review](https://www.g2.com/survey_responses/exosite-exosense-iot-review-5349800) --- **"[Excellent Industrial IoT platform that requires no coding](https://www.g2.com/survey_responses/exosite-exosense-iot-review-7492505)"** **Rating:** 5.0/5.0 stars *— Kevin F.* [Read full review](https://www.g2.com/survey_responses/exosite-exosense-iot-review-7492505) --- #### What Are G2 Users Discussing About Exosite ExoSense IoT? - [What is Exosite ExoSense IoT used for?](https://www.g2.com/discussions/what-is-exosite-exosense-iot-used-for) - 1 comment ### 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 **How Do G2 Users Rate Blue Bite?** - **Ease of Use:** 7.5/10 (Category avg: 8.9/10) - **Quality of Support:** 8.3/10 (Category avg: 8.9/10) **Who Is the Company Behind Blue Bite?** - **Seller:** [Blue Bite](https://www.g2.com/sellers/blue-bite) - **Year Founded:** 2007 - **HQ Location:** New York - **Twitter:** @bluebite (4,577 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/bluebite/ (20 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 60% Small-Business, 30% Mid-Market #### What Are Blue Bite's Pros and 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) ### What Do G2 Reviewers Say About Blue Bite? *AI-generated summary from verified user reviews* **Pros:** - Users value Blue Bite's ability to **drive business growth** by enhancing customer engagement and increasing sales. - Users highlight the **excellent customer experience** provided by Blue Bite, enhancing brand-consumer interactions effectively. - Users value the **enhanced customer engagement** Blue Bite provides, leading to improved communication and increased sales. - Users praise the **effective communication** of Blue Bite, enhancing brand storytelling and client engagement. - Users appreciate the **responsive customer support** of Blue Bite, aided by helpful tutorials and documentation. **Cons:** - Users find the **UI complicated** , encountering hassles during signup and suggesting website optimization for a better experience. - Users find the **complex usability** of Blue Bite's UI and sign-up process a bit challenging despite the overall good experience. - Users face **limited device support** with Blue Bite, needing more compatibility and additional development efforts for certain devices. - Users find the **limited templates** of Blue Bite restrict their ability to create personalized designs as needed. - Users often face **poor customer support** with Blue Bite, making it challenging to resolve issues effectively. #### What Are Recent G2 Reviews of Blue Bite? **"[Transforming Connectivity](https://www.g2.com/survey_responses/blue-bite-review-8226833)"** **Rating:** 4.5/5.0 stars *— Saya C.* [Read full review](https://www.g2.com/survey_responses/blue-bite-review-8226833) --- **"[Blue Bite - A comprehensive solution for digital experiences and customer engagement](https://www.g2.com/survey_responses/blue-bite-review-8194298)"** **Rating:** 5.0/5.0 stars *— Sayali C.* [Read full review](https://www.g2.com/survey_responses/blue-bite-review-8194298) --- ### 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 **How Do G2 Users Rate ATOm?** - **Ease of Use:** 9.0/10 (Category avg: 8.9/10) - **Quality of Support:** 8.5/10 (Category avg: 8.9/10) **Who Is the Company Behind ATOm?** - **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/ (25 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of ATOm? **"[Easy, Comprehensive and Daily usable product](https://www.g2.com/survey_responses/atom-review-5360770)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/atom-review-5360770) --- **"[Experience of the ATOm](https://www.g2.com/survey_responses/atom-review-5341994)"** **Rating:** 4.5/5.0 stars *— Nuthan s.* [Read full review](https://www.g2.com/survey_responses/atom-review-5341994) --- ### 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 **How Do G2 Users Rate Initial State?** - **Ease of Use:** 9.2/10 (Category avg: 8.9/10) - **Quality of Support:** 9.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Initial State?** - **Seller:** [Initial State Technologies](https://www.g2.com/sellers/initial-state-technologies) - **Year Founded:** 2012 - **HQ Location:** Nashville, US - **Twitter:** @InitialState (1,347 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/initial-state-technologies/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of Initial State? **"[Initial State Review](https://www.g2.com/survey_responses/initial-state-review-10410379)"** **Rating:** 4.5/5.0 stars *— Karthik M.* [Read full review](https://www.g2.com/survey_responses/initial-state-review-10410379) --- **"[Initial State review](https://www.g2.com/survey_responses/initial-state-review-9891716)"** **Rating:** 4.5/5.0 stars *— Vasanth Ram V.* [Read full review](https://www.g2.com/survey_responses/initial-state-review-9891716) --- #### What Are G2 Users Discussing About Initial State? - [What is Initial State used for?](https://www.g2.com/discussions/what-is-initial-state-used-for) ### 24. [Minitab Connect](https://www.g2.com/products/minitab-connect/reviews) Minitab Connect is a secure, cloud-based data integration and management platform that enables organizations to access, prepare, and combine data from across their business. It connects to a wide range of data sources such as databases, cloud applications, spreadsheets, and on-premise systems so that teams can create a single, reliable source of truth for analysis and reporting. With Minitab Connect, users can automate data pipelines, clean and transform data, and deliver ready-to-use datasets directly into Minitab solutions and other business tools. This helps eliminate manual data preparation, improve data accuracy, and accelerate time to insight, empowering teams to make faster, data-driven decisions. **Average Rating:** 4.5/5.0 **Total Reviews:** 30 **How Do G2 Users Rate Minitab Connect?** - **Ease of Use:** 8.8/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Minitab Connect?** - **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 (5,017 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (717 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 57% Enterprise, 33% Mid-Market #### What Are Minitab Connect's Pros and 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) ### What Do G2 Reviewers Say About Minitab Connect? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Minitab Connect, finding it simple and user-friendly for data analysis. - Users appreciate the **efficient data integration** offered by Minitab Connect, making analysis seamless and accessible. - Users appreciate the **easy integrations** of Minitab Connect, enabling seamless data access and streamlined analysis. - Users value the **easy data integration** features of Minitab Connect, enhancing their analytical capabilities with seamless access. - Users appreciate the **seamless data integration** capabilities of Minitab Connect, enhancing accessibility and analysis ease. **Cons:** - Users struggle with the **high learning curve** of Minitab Connect, requiring time and persistence to master. - Users experience a **high learning difficulty** with Minitab Connect, requiring patience and time to master its features. - Users find **poor visualization** in Minitab Connect, especially with large datasets, limiting its effectiveness and efficiency. - Users face **visualization limitations** with Minitab Connect, particularly when handling large datasets and complex transformations. - Users find **complexity in data visualisation** with Minitab Connect makes tasks slow and challenging, with high costs. #### What Are Recent G2 Reviews of Minitab Connect? **"[Efficient Data Integration and Analysis with Minitab Connect](https://www.g2.com/survey_responses/minitab-connect-review-8020975)"** **Rating:** 4.5/5.0 stars *— job m.* [Read full review](https://www.g2.com/survey_responses/minitab-connect-review-8020975) --- **"[Minitab Connect](https://www.g2.com/survey_responses/minitab-connect-review-11397004)"** **Rating:** 4.5/5.0 stars *— Olena C.* [Read full review](https://www.g2.com/survey_responses/minitab-connect-review-11397004) --- #### What Are G2 Users Discussing About Minitab Connect? - [What are the benefits of Minitab?](https://www.g2.com/discussions/what-are-the-benefits-of-minitab) - [What are two features of Minitab?](https://www.g2.com/discussions/what-are-two-features-of-minitab) - [What are the features of Minitab?](https://www.g2.com/discussions/what-are-the-features-of-minitab) ### 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 **How Do G2 Users Rate XMPro?** - **Ease of Use:** 9.1/10 (Category avg: 8.9/10) - **Quality of Support:** 8.7/10 (Category avg: 8.9/10) **Who Is the Company Behind XMPro?** - **Seller:** [XMPro](https://www.g2.com/sellers/xmpro) - **Year Founded:** 2009 - **HQ Location:** Dallas, TX - **Twitter:** @xmpro (376 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/xmpro-inc/ (51 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 36% Mid-Market #### What Are XMPro's Pros and 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) ### What Do G2 Reviewers Say About XMPro? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of XMPro, finding it simple and effective for their organizational needs. - Users appreciate the **robust data analysis and predictive features** of XMPro, enhancing decision-making and operational efficiency. - Users value the **24/7 customer support** of XMPro, ensuring assistance is always available whenever needed. - Users find XMPro's **easy implementation** beneficial, fostering smooth integration and enhancing organizational efficiency effortlessly. - Users appreciate the **impressive analytical features** of XMPro, which enhance decision-making and operational efficiency. **Cons:** - Users are concerned about the **expensive pricing model** of XMPro, which may deter potential subscriptions. - Users experience **performance issues** with XMPro, especially during peak hours and as user numbers rise. - Users find the **time-consuming setup process** of XMPro challenging, especially without a dedicated IT team. - Users find the **complex setup** of XMPro iBOS challenging, particularly without a dedicated IT team for support. - Users express concerns over **data management issues** with XMPro, citing inactivity fees and withdrawal delays as major drawbacks. #### What Are Recent G2 Reviews of XMPro? **"[XMPro Is Easy To Use And Integrate For Business Operations.](https://www.g2.com/survey_responses/xmpro-review-10755349)"** **Rating:** 4.0/5.0 stars *— Washington J.* [Read full review](https://www.g2.com/survey_responses/xmpro-review-10755349) --- **"[Intelligent Analytics for Risk Mitigation](https://www.g2.com/survey_responses/xmpro-review-10984358)"** **Rating:** 4.0/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/xmpro-review-10984358) --- ## What Is IoT Analytics Platforms? [IoT Management Platforms](https://www.g2.com/categories/iot-management) ## What Software Categories Are Similar to IoT Analytics Platforms? - [IoT Platforms](https://www.g2.com/categories/iot-platforms) - [IoT Device Management Platforms](https://www.g2.com/categories/iot-device-management-platforms) - [Manufacturing Intelligence Software](https://www.g2.com/categories/manufacturing-intelligence) --- ## How Do You Choose the Right IoT Analytics Platforms? ### 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.