# Best IoT Analytics Platforms ## How Many IoT Analytics Platforms Products Does G2 Track? **Total Products under this Category:** 143 ### Category Stats (Aug 2026) - **Average Rating:** 4.41/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product:** I-care Group (+3.19%) - Among all products in this category, I-care Group recorded the largest rating increase compared to last month _Last updated: August 19, 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 - 143+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## G2 Grid® for IoT Analytics Platforms ![G2 Grid® for IoT Analytics Platforms plotting products by satisfaction and market presence](https://www.g2.com/categories/iot-analytics-platforms/grids.png?focus%5B%5D=100304&focus%5B%5D=1468175&focus%5B%5D=87705&focus%5B%5D=1195159&focus%5B%5D=169514&focus%5B%5D=40553&focus%5B%5D=52128&focus%5B%5D=87447) Highlighted products: Insights Hub, TagoIO, Rayven, TRACTIAN, SAP Business Technology Platform, Google Cloud IoT Core, AWS IoT Analytics, and AWS IoT SiteWise. Underlying data: [Grid® JSON](https://www.g2.com/categories/iot-analytics-platforms/grids.json?focus%5B%5D=siemens-digital-industries-software-insights-hub&focus%5B%5D=tagoio&focus%5B%5D=rayven&focus%5B%5D=tractian-tractian&focus%5B%5D=sap-business-technology-platform&focus%5B%5D=google-cloud-iot-core&focus%5B%5D=aws-iot-analytics&focus%5B%5D=aws-iot-sitewise) **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_llm&secure%5Bcategory_id%5D=1772&secure%5Bchosen_at%5D=2026-08-20T10%3A15%3A24Z&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=13c516091b3c1a4d58f174bf84c4b31108ad632136f5871f21d089723bce89d2&secure%5Burl%5D=https%3A%2F%2Fwww.onomondo.com%2F&secure%5Burl_type%5D=company_website) ### [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:** 66 #### 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:** www.sw.siemens.com - **Year Founded:** 1980 - **HQ Location:** Plano, Texas - **Twitter:** @siemenssoftware 36,972 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1dd3753f2277968b1f3c28e3070b9762650d5b5c8485137227b26fcbc85343e0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F28423178%2F&secure%5Burl_type%5D=linkedin_company_website) 20,941 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Industrial Automation, Food & Beverages - **Company Size:** 37% Large, 33% Small #### What Do G2 Reviewers Say About Insights Hub? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Insights Hub, finding dashboards and reporting simpler and more intuitive. - Users love the **centralized platform** of Insights Hub, which effectively integrates data and enhances performance monitoring. - Users find Insights Hub to be incredibly **user-friendly** , simplifying data management and enhancing decision-making efficiency. - Users love the **easy integrations** of Insights Hub, enhancing data availability and supporting streamlined performance monitoring. - Users value the **custom dashboards** of Insights Hub for their intuitive design and ability to simplify data visualization. ##### Cons - Users find the **learning curve steep** , indicating a need for improved user-friendliness and smoother navigation. - Users desire more **customization options** for report designs in Insights Hub to enhance versatility and detail. - Users often face **navigation issues** in Insights Hub, finding the interface complex and experience not user-friendly. - Users find the **poor usability** of Insights Hub challenging due to its complex interface and navigation issues. - Users find **difficult navigation** in Insights Hub, requiring time or assistance to understand the platform effectively. #### What Are Recent G2 Reviews of Insights Hub? **["Empowers IoT Integration with AI Solutions"](https://www.g2.com/survey_responses/insights-hub-review-13205709)** **Rating:** 4.0/5.0 stars _— love s._ [Read full review](https://www.g2.com/survey_responses/insights-hub-review-13205709) **["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) ### [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:** 56 #### 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:** tago.io - **Year Founded:** 2014 - **HQ Location:** Raleigh, US - **Twitter:** @tagoio 878 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=286b94aa36f451390ba24ab6cecad221857ee92551e929135ec7fefe995da3bb&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftago.io&secure%5Burl_type%5D=linkedin_company_website) 26 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Industrial Automation, Farming - **Company Size:** 76% Small, 14% Medium #### What Do G2 Reviewers Say About TagoIO? _AI-generated summary from verified user reviews_ ##### Pros - Users find TagoIO incredibly **easy to use** , enjoying its seamless setup, helpful documentation, and responsive support. - Users appreciate the **flexibility** of TagoIO, praising its ease of use and ability to share dashboards effectively. - Users appreciate the **user-friendly interface** of TagoIO, making it easy to create IoT solutions efficiently. - Users value the **custom dashboards** of TagoIO, praising their ease of use and quick setup with templates. - Users value the **easy integrations** of TagoIO, enabling fast setup and seamless connectivity for IoT devices. ##### Cons - Users find the **steep learning curve** of TagoIO challenging, especially due to its extensive features and capabilities. - Users express concern over the **high pricing** , feeling that monthly costs for TagoIO could be reduced. - Users find the **complexity** of TagoIO can lead to tedious and repetitive tasks during dashboard configuration. - Users find the **limited customization options** in TagoIO restrictive, especially with device templates and dashboard widgets. - Users often struggle with **poor documentation** , making it challenging to grasp advanced features and troubleshoot effectively. #### What Are Recent G2 Reviews of TagoIO? **["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) **["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) ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1d006407e153419f0571c4dc74bc360e0abc0d6d0be9334a3fff870a267b0972&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Frayveniot%2F&secure%5Burl_type%5D=linkedin_company_website) 33 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Retail - **Company Size:** 69% Medium, 52% Small #### What Do G2 Reviewers Say About Rayven? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **ease of use** of Rayven, allowing seamless integration and workflow creation without coding skills. - Users value Rayven for its **real-time data integration** and seamless unification of various tools into one efficient system. - Users value Rayven's **automation capabilities** , enabling seamless integration and real-time data unification for improved performance tracking. - Users value the **customization** capabilities of Rayven, enabling tailored solutions to meet specific healthcare needs seamlessly. - Users value the **robust data management** of Rayven, enabling real-time processing and efficient automation across diverse systems. ##### Cons - Users report a **steep initial learning curve** due to complex setups and the need for technical knowledge. - Users find the **difficult learning** curve challenging due to overwhelming initial setup and complex feature configurations. - Users find the **learning difficulty** challenging due to the overwhelming initial setup and complex configuration processes. - Users find the **complex setup** of Rayven challenging, necessitating extensive planning for effective use and integration. - Users find the **setup complexity** challenging, often needing extra support for advanced integrations and configurations. #### 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) ### [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:** tractian.com - **Year Founded:** 2019 - **HQ Location:** Atlanta, GA - **Twitter:** @tractian 523 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7a46fb0d23cae3004b826a12041561dd770f883395f2b38b97f7f35eac1a650a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fget-tractian&secure%5Burl_type%5D=linkedin_company_website) 444 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Manufacturing, Food & Beverages - **Company Size:** 42% Medium, 21% Small #### What Do G2 Reviewers Say About TRACTIAN? _AI-generated summary from verified user reviews_ ##### Pros - Users commend the **ease of use** of TRACTIAN, highlighting its clear information and user-friendly integration process. - Users highlight the **timely and precise customer support** of TRACTIAN, enhancing their overall experience and satisfaction. - Users appreciate TRACTIAN for its **real-time monitoring** capabilities, enhancing equipment management and reducing downtime effectively. - Users appreciate TRACTIAN for its **real-time monitoring** , enhancing equipment maintenance and reducing unplanned downtime effectively. - Users value the **efficiency** of TRACTIAN, enhancing productivity and minimizing delays with easy-to-use machine health sensors. ##### Cons - Users find the **complex usability** of TRACTIAN challenging, particularly in setup and mobile interface navigation. - Users find the **difficult learning curve** of TRACTIAN hampers efficient use, especially for occasional users needing training. - Users feel the product is a bit **expensive** , requiring a budget increase and staff training for effective use. - Users find the **learning curve steep** , requiring extra training and adjustment time for effective use of TRACTIAN. - Users find the **usability issues** of TRACTIAN frustrating, especially on mobile devices and during setup. #### What Are Recent G2 Reviews of TRACTIAN? **["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) **["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) ### [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) - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP 297,052 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website) 141,955 employees on LinkedIn® - **Ownership:** NYSE:SAP #### Who Uses This Product? - **Who Uses This:** Software Engineer, System Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 39% Large, 36% Medium #### What Do G2 Reviewers Say About SAP Business Technology Platform? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of SAP BTP, enabling seamless integration and intuitive app development in one platform. - Users value the **seamless integrations** of SAP BTP, enhancing connectivity and efficiency across various applications and services. - Users value the **seamless integration** capabilities of SAP Business Technology Platform, enabling effortless connections with various applications. - Users appreciate the **comprehensive integration** of SAP BTP, enabling seamless data management, app development, and enhanced flexibility. - Users appreciate the **centralized data management** of SAP BTP, seamlessly connecting tools and fostering innovation. ##### Cons - Users experience a significant **learning curve** with SAP BTP, making initial navigation and setup challenging for newcomers. - Users report a **steep learning curve** with SAP BTP, as its complexity can overwhelm newcomers to the platform. - Users find the **pricing structure complex** , making it difficult to monitor costs effectively with SAP BTP. - Users often face a **steep learning difficulty** with SAP BTP, especially those unfamiliar with SAP systems. - Users find the **difficult learning curve** of SAP BTP can be overwhelming, requiring extensive time and experience. #### 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) **["All in one solution for medium to large scale companies."](https://www.g2.com/survey_responses/sap-business-technology-platform-review-8512619)** **Rating:** 5.0/5.0 stars _— Abhilash ._ [Read full review](https://www.g2.com/survey_responses/sap-business-technology-platform-review-8512619) #### 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 ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website) 341,888 employees on LinkedIn® - **Ownership:** NASDAQ:GOOG #### Who Uses This Product? - **Company Size:** 47% Small, 33% Medium #### 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) ### [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:** 4.4/5.0 **Total Reviews:** 19 #### How Do G2 Users Rate AWS IoT SiteWise? - **Ease of Use:** 8.6/10 (Category avg: 8.9/10) - **Quality of Support:** 8.5/10 (Category avg: 8.9/10) #### Who Is the Company Behind AWS IoT SiteWise? - **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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employees on LinkedIn® - **Ownership:** NASDAQ: AMZN #### Who Uses This Product? - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Small, 36% Large #### What Are Recent G2 Reviews of AWS IoT SiteWise? **["Simplifies Industrial Data Modeling and KPI Dashboards with Excellent Performance"](https://www.g2.com/survey_responses/aws-iot-sitewise-review-13185630)** **Rating:** 4.0/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/survey_responses/aws-iot-sitewise-review-13185630) **["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 ### [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:** 17 #### How Do G2 Users Rate AWS IoT Analytics? - **Ease of Use:** 8.7/10 (Category avg: 8.9/10) - **Quality of Support:** 8.6/10 (Category avg: 8.9/10) #### Who Is the Company Behind AWS IoT Analytics? - **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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website) 147,094 employees on LinkedIn® - **Ownership:** NASDAQ: AMZN #### Who Uses This Product? - **Company Size:** 38% Large, 38% Small #### 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) **["Streamlined End-to-End IoT Analytics with Seamless QuickSight and SageMaker Integration"](https://www.g2.com/survey_responses/aws-iot-analytics-review-13185666)** **Rating:** 4.5/5.0 stars _— Atharva P._ [Read full review](https://www.g2.com/survey_responses/aws-iot-analytics-review-13185666) #### 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 ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=6dbb518e9679f4f3158244b1c49a1caf60257ab06a669303d999c534715b2674&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1194036%2F&secure%5Burl_type%5D=linkedin_company_website) 7,985 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Information Technology and Services - **Company Size:** 40% Medium, 33% Small #### What Are Recent G2 Reviews of ThingSpeak? **["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 ### [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:** 146 #### 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:** www.seeq.com - **Year Founded:** 2013 - **HQ Location:** Seattle, Washington - **Twitter:** @SeeqCorporation 959 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=52123deef039bf7e4645366754564ee588b554867381c6aab2f8ec85428e9200&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3126445%2F&secure%5Burl_type%5D=linkedin_company_website) 322 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Process Engineer - **Top Industries:** Oil & Energy, Chemicals - **Company Size:** 58% Large, 32% Medium #### What Do G2 Reviewers Say About Seeq? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **capability to analyze and visualize complex data sets** effectively with Seeq's user-friendly design. - Users appreciate the **ease of use** of Seeq, as it simplifies data analysis for professionals across various fields. - Users value the **transformative capabilities** of Seeq in delivering actionable insights for enhanced decision-making and performance. - Users appreciate the **intuitive analysis capabilities** of Seeq, making it easy to explore and identify data trends. - Users value the **automation capabilities** of Seeq, significantly improving efficiency and decision-making in data analysis. ##### Cons - Users find the **difficult learning** curve of Seeq challenging, especially when trying to navigate the tool independently. - Users find the **complex usability** of Seeq challenging, especially when visualizing LIMS and time series data. - Users find the **learning curve steep** , especially when navigating the tool without guidance, requiring engineering knowledge for full usage. - Users find the **learning difficulty** of Seeq to be challenging, especially when trying to master its formula functions. - Users find the **interface challenging** for visualizing data and express a need for improved dashboard features. #### What Are Recent G2 Reviews of Seeq? **["Makes Time-Series Analysis Easy and Insightful"](https://www.g2.com/survey_responses/seeq-review-13286672)** **Rating:** 4.5/5.0 stars _— LOKESH G._ [Read full review](https://www.g2.com/survey_responses/seeq-review-13286672) **["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) ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=27323ee37aa2382ec8ca08b2507ec91973c8dc375aa368f44fb2cfb281807c19&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdataparc-solutions%2F&secure%5Burl_type%5D=linkedin_company_website) 113 employees on LinkedIn® #### Who Uses This Product? - **Top Industries:** Paper & Forest Products - **Company Size:** 62% Medium, 31% Large #### What Do G2 Reviewers Say About dataPARC? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **customizability** of dataPARC, allowing personalized displays and extensive functionality for all skill levels. - Users value the **speed and extensive data analysis** capabilities of dataPARC, enhancing their productivity and efficiency. - Users value the **intuitive data visualization** features of dataPARC, enhancing their ability to monitor and analyze information effectively. - Users commend the **ease of use** of dataPARC, citing its intuitive layout and minimal training requirements. - Users value the **versatile software depth** of dataPARC, catering to both novices and experienced users effectively. ##### Cons - Users find the **complex usability** of dataPARC challenging, particularly when needing more VB language examples and explanations. - Users find the **data management issues** in dataPARC challenging, particularly due to insufficient VB language support and examples. - Users find **difficult learning** due to insufficient examples and explanations in DataParc's VB documentation for beginners. - Users find the **learning curve steep** due to a lack of examples and detailed VB language explanations in dataPARC. - Users feel the need for **more in-depth tutorials on VB** to enhance their experience with dataPARC's functionality. #### 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 ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=73850d355bfdc14ea36770d57547c351f3cf2b7a001f9b02cdf0446b9a78ef75&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fplutoshift-ai%2F&secure%5Burl_type%5D=linkedin_company_website) 1 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software - **Company Size:** 65% Medium, 25% Large #### What Do G2 Reviewers Say About Plutoshift? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **automated data analysis** of Plutoshift, streamlining complexity and enhancing decision-making efficiency. - Users value the **real-time actionable insights** of Plutoshift, enhancing decision-making through advanced data analytics. - Users value the **responsive support team** of Plutoshift, enhancing overall efficiency and decision-making capabilities. - Users value the **real-time analysis capabilities** of Plutoshift, which simplify data interpretation and enhance decision-making. - Users appreciate the **real-time actionable insights** provided by Plutoshift's innovative analytics, simplifying decision-making processes. ##### Cons - Users find Plutoshift's **complex usability** challenging, particularly during setup and integration for the less tech-savvy. - Users find Plutoshift's **complexity** challenging, often spending extra time to connect data sources and configure settings. - Users experience **integration issues** that can delay setup and complicate connecting data sources for Plutoshift. - Users find Plutoshift's **learning curve challenging** , especially for those not familiar with technology or integration processes. - Users find the **difficult setup** process time-consuming, especially if they lack technical expertise in integration. #### 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) ### [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:** www.trendminer.com - **Year Founded:** 2008 - **HQ Location:** Hasselt, Flemish Region - **Twitter:** @TrendMining 777 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=da520dcdcdf34549f06e16430fb52a15324176aa15f02a30acf6ac3269652dcc&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftrendminer%2F&secure%5Burl_type%5D=linkedin_company_website) 89 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Process Engineer, Process Analytics Engineer - **Top Industries:** Chemicals, Oil & Energy - **Company Size:** 53% Large, 35% Medium #### What Do G2 Reviewers Say About TrendMiner? _AI-generated summary from verified user reviews_ ##### Pros - Users value the **intuitive design** of TrendMiner, making it easy to navigate and enhancing their overall experience. - Users value the **speed** of TrendMiner, enabling quick insights and efficient data analysis. - Users value the **quick insights** TrendMiner provides, making data-driven decisions easier and enhancing operational monitoring. - Users value the **real-time monitoring** capabilities of TrendMiner, enabling quick checks and insights on production status. - Users value the **responsive and helpful customer support** of TrendMiner, enhancing their overall experience with the product. ##### Cons - Users find **complex usability** in TrendMiner, struggling with connectivity and inadequate training materials for new users. - Users find the **difficult learning curve** of TrendMiner frustrating, as advanced features demand significant technical expertise. - Users find the **complexity of advanced functions** in TrendMiner necessitating training and cumbersome system administration. - Users find the **learning curve steep** , as mastering TrendMiner's extensive features requires significant time and training. - Users note the **tool limitations** of TrendMiner, including lack of a mobile app and restrictive nesting and calculations. #### 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 ### [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:** 715 #### 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:** www.datadoghq.com - **Year Founded:** 2010 - **HQ Location:** New York - **Twitter:** @datadoghq 51,207 Twitter followers - **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1b0942496e12618acadaab3a1601417c9f0d1941be094e2cefb0d89c606e73b5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1066442%2F&secure%5Burl_type%5D=linkedin_company_website) 9,386 employees on LinkedIn® #### Who Uses This Product? - **Who Uses This:** Software Engineer, DevOps Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 47% Medium, 34% Large #### What Do G2 Reviewers Say About Datadog? _AI-generated summary from verified user reviews_ ##### Pros - Users appreciate the **ease of use** of Datadog, enjoying intuitive dashboard creation and straightforward implementation. - Users appreciate the **intuitive monitoring features** of Datadog, enabling easy integration and insightful data analysis. - Users value the **real-time monitoring capabilities** of Datadog, enhancing oversight across various applications and infrastructures. - Users appreciate the **user-friendly interface** and **robust integration capabilities** of Datadog for effective monitoring. - Users value the **intuitive dashboard creation** in Datadog, which enhances monitoring and analysis efficiency. ##### Cons - Users find Datadog's pricing to be **expensive** , suggesting it should be more affordable given its features. - Users find **pricing issues** with Datadog, citing rapidly escalating costs and high subscription fees as concerns. - Users find the **steep learning curve** challenging, especially with rapidly evolving features and required knowledge. - Users find the **costs to be unpredictable and excessively high** , especially with data storage and additional features. - Users find **learning difficulty** in Datadog, noting that new users may require training to understand its complexities. #### What Are Recent G2 Reviews of Datadog? **["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) **["Datadog: Unified Logs, Metrics & Traces for Real-Time Visibility and Faster Debugging"](https://www.g2.com/survey_responses/datadog-review-13049319)** **Rating:** 4.5/5.0 stars _— Anshul S._ [Read full review](https://www.g2.com/survey_responses/datadog-review-13049319) #### 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 ### [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:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=476aeabc5a712d049453edd5c54ea0318890d9e60d93782e37fe028224df1cbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcisco%2F&secure%5Burl_type%5D=linkedin_company_website) 95,545 employees on LinkedIn® - **Ownership:** NASDAQ:CSCO #### Who Uses This Product? - **Company Size:** 57% Small, 21% Medium #### 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) - ‹ Prev ‹ Prev - 1 - [2](/categories/iot-analytics-platforms?order=g2_score&page=2#product-list) - [3](/categories/iot-analytics-platforms?order=g2_score&page=3#product-list) - [4](/categories/iot-analytics-platforms?order=g2_score&page=4#product-list) - [5](/categories/iot-analytics-platforms?order=g2_score&page=5#product-list) - … - [9](/categories/iot-analytics-platforms?order=g2_score&page=9#product-list) - [10](/categories/iot-analytics-platforms?order=g2_score&page=10#product-list) - [Next › Next ›](/categories/iot-analytics-platforms?order=g2_score&page=2#product-list) Spotlight Categories [Threat Intelligence Software](https://www.g2.com/categories/threat-intelligence) [ETL Tools](https://www.g2.com/categories/etl-tools) [HCM Software](https://www.g2.com/categories/hcm-software) [Cloud Infrastructure Monitoring Tools and Software](https://www.g2.com/categories/cloud-infrastructure-monitoring) [VoIP Providers](https://www.g2.com/categories/voip) Similar Categories - [Digital Twin](/categories/digital-twin) - [Edge AI Platforms](/categories/edge-ai-platforms) - [IoT Connectivity Management](/categories/iot-connectivity-management) - [IoT Development Tools](/categories/iot-development-tools) - [IoT Device Management Platforms](/categories/iot-device-management-platforms) - [IoT Edge Platforms](/categories/iot-edge-platforms) - [IoT Operating Systems](/categories/iot-operating-systems) - [IoT Platforms](/categories/iot-platforms) - [Other IoT](/categories/other-iot) [Browse IoT Analytics Platforms Themes](/categories/iot-analytics-platforms/themes) ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry") BB Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry) Updated October 3, 2024 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 Show More ### IoT Analytics Topics - [What are IoT Analytics Platforms?](#what-are-iot-analytics-platforms) - [Why Use IoT Analytics Platforms?](#why-use-iot-analytics-platforms) - [Who Uses IoT Analytics Platforms?](#who-uses-iot-analytics-platforms) - [IoT Analytics Platform Features](#iot-analytics-platform-features) - [Potential Issues with IoT Analytics Platforms](#potential-issues-with-iot-analytics-platforms) - [Software and Services Related to IoT Analytics Platforms](#software-and-services-related-to-iot-analytics-platforms) [ ### IoT Analytics Topics Expand/Collapse ](#) - [What are IoT Analytics Platforms?](#what-are-iot-analytics-platforms) - [Why Use IoT Analytics Platforms?](#why-use-iot-analytics-platforms) - [Who Uses IoT Analytics Platforms?](#who-uses-iot-analytics-platforms) - [IoT Analytics Platform Features](#iot-analytics-platform-features) - [Potential Issues with IoT Analytics Platforms](#potential-issues-with-iot-analytics-platforms) - [Software and Services Related to IoT Analytics Platforms](#software-and-services-related-to-iot-analytics-platforms) ## Learn More About IoT Analytics Platforms ### What are IoT Analytics Platforms? Data analytics is at the core of the Internet of Things (IoT), alongside [process automation](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.