IoT data management is defined as the supervision of data generated from IoT sensors, actuators, and other connected devices in an IoT ecosystem. According to 360 Quadrant analysis, the following have been identified as the top 10 vendors in the Best IoT data management solutions:

Top 10 IoT Data Management Solutions

  1. IBM Corporation
  2. Cisco Systems Inc
  3. Oracle Corporation
  4. Google Inc
  5. SAP SE
  6. PTC Inc
  7. SAS Institute Inc
  8. Dell Inc
  9. HPE
  10. Fujitsu Limited

Top IoT Data Management Features

IoT data management consists of data generated from device logs, serial numbers authentication and authorization commands, lifecycle status, permissions, sensors, and setting forecasts. Organizations combine this data from disparate sources into meaningful and valuable information and analyze it further for business or process improvements. It is also important for the organizations to manage the security, consistency, and accuracy of the IoT data.. Below mentioned are of some of the benefits that businesses can consider prior to choosing an ideal IoT Data Management Software:

  1. Analytics Applications
  2. Visualization Dashboards
  3. Mobile IoT Apps
  4. IoT Service Modernization
  5. Enterprise-grade Security
  6. Scalable Architecture
  7. Scalable Data Storage
  8. Multi-platform Support
  9. Relational Database
  10. Relational Semantics

Top IoT Data Management Use Cases

Gathering, storing and managing IoT data from the field is important as it has a noteworthy impact on the next iteration of a product. Some of the important Iot Data Management Use Cases have been highlighted below:

  • IoT Data Management To Create Better Products - IoT data managementallows businesses to determine usage patterns. It also tests all the assumptions made during design and development stages, recognizing flaws in connected devices. In other words, it helps in creating the best connected products possible.
  • Predicting Asset Wear - This also relates to connected arrangements and assets. IoT data management is crucial to understand the anticipated wear-and-tear and plan for preservation and repairs. By conducting this examination throughout its life cycle, businesses can also learn if users are operating outside of anticipated patterns.
  • Enable Resource Efficiency - The objective of automation is always efficiency. Data on how customers use products allows businesses to make more informed decisions.
  • Create effective systems - Complex IoT solutions comprise of many discrete devices. Although each of them distinctly might work to precision, when working as a system, they can behave in unanticipated ways. It’s not sufficient to simply gather telemetric data from discrete devices. The transmission, storage and handling of IoT data allows businesses to recognize problems early on and authenticate the performance of the overall system.


The MicroQuadrant matrix provides information about the major players who offer IoT data management solutions. It outlines the findings and analysis on how well each market vendor performs within the predefined MicroQuadrant criteria. The vendor evaluations are based on 2 broad categories: strength of product portfolio and business strategy excellence. Each category carries various criteria, based on which the vendors have been evaluated. The evaluation criteria considered under strength of product portfolio include breadth and depth of product offering (based on the industries that the vendors cater to, and solution and service offerings), product feature and functionality, product branding, focus on product innovation, and product quality, reliability, and support. The evaluation criteria considered under business strategy excellence include geographic footprint (based on geographic presence), vision alignment, breadth of application served and coverage, channel strategy and fit, and merger and acquisition strategy


International Business Machines (IBM) Corporation, Cisco Systems, Inc., Oracle Corporation, Google Inc., SAP SE, and PTC Inc. are recognized as the visionary leaders in the IoT data management market. They have a strong portfolio of solutions and services which they offer to their commercial clients. The products and solutions of these companies are highly scalable and can be customized as per the requirements of the clients. These companies are investing heavily in R&D to introduce innovations in the IoT space. Moreover, these companies have also undertaken various organic and inorganic strategies to achieve consistent, advanced growth in the IoT data management market.


Hewlett Packard Enterprise Company, SAS Institute Inc., Dell Technologies, Inc., Fujitsu Limited, and Informatica Corporation are recognized as the dynamic differentiators in the IoT data management market. These companies have an extensive network of channel partners and resellers to increase the deployment of their solutions across a multitude of vertical markets. The dynamic vendors have been consistently generating positive revenue growth in the IoT data management market, and their market position is boosted by the organic and inorganic ventures undertaken by them.


Striim, Inc., Eurotech S.p.A., Trustwave Holdings, Inc., Zebra Technologies Corporation, and InfluxData, Inc. are recognized as the innovators in IoT data management market. These companies offer innovative solutions in the space of data integration, data analytics and visualization, and data migration. These companies have strong breadth and depth of product offerings. Innovators have been at the forefront in deploying their solutions for the niche and custom software requirements of the clients.


Teradata Corporation, Altair Engineering, Inc., MuleSoft Inc., Cloudera, Inc., LogMeIn, Inc., Pentaho Corporation, and LogFuze Inc. are recognized as the emerging companies in the IoT data management market. The emerging players are specialized in offering highly niche and tailor-made solutions and services to their clients. These companies devise new ways of working to drive business results in the market.

Best IoT Data Management Solutions 2022

Comparing 38 vendors in Internet of Things (IoT) Data Management Solutions across 94 criteria.
All vendors(30)
Selected by small-360Analysts
1.6 Online
In March 2016, LogFuze launched its cloud based analytics platform, Horadata. It enables OEMs to delight their customers by proactively suggesting maintenance schedules. HoraData platform enables revenue generation for service providers by predictive and prescriptive analytics of OEM devices. Customers can avoid downtime and loss of productivity in a manufacturing plant by using HoraData’s predictive and prescriptive analytics capabilities. The company’s areas of expertise are manufacturing, cold storage, healthcare, solar, oil and gas, and automotive. Horavue is a cloud-based IoT visualization software from LogFuze that allows enterprises to store, view, and analyze IoT data, thereby paving the way for creating innovative solutions and providing analytics.
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IBM’s Watson IoT platform is widely used for deploying IoT solutions for commercial clients. The Watson IoT platform helps organizations connect devices to intelligent appliances through chips. IBM’s Bluemix platform helps developers integrate IoT data with cloud-based data, also assisting in deploying IoT applications. The IBM Bluemix platform, combined with the Watson IoT platform, provides a simple yet powerful application access to IoT devices and data. This helps clients to rapidly compose analytics applications, visualization dashboards, and mobile IoT apps. IBM’s predictive maintenance and quality software helps to monitor, maintain, and optimize the IoT customers assets, operations, and supply chain.
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In June 2017, Cisco launched the Cisco Kinetic to streamline IoT data management. Cisco Kinetic is an IoT operations platform providing integrated solutions for connection management and fog computing. It ensures data delivery for all types of IoT connected devices. Cisco Kinetic leverages the company’s IoT platform portfolio by including wired and wireless devices into the IoT system. Apart from its IoT platform portfolio, the company also offers Cisco Jasper, an IoT connectivity platform, to fulfill customer requirements in the IoT data management market.
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Oracle provides a comprehensive set of solutions, services, and products that include cloud, enterprise application, IT infrastructure, and database solutions. Oracle’s IoT platform provides effective solutions to address IoT scalability challenges. The IoT platform focuses on integration of data received from the sensors of different devices and components. Oracle Database Mobile Server and Oracle NoSQL Database provide reliable, flexible, secure, and scalable solutions to address IoT data ingestion and management concerns. Oracle data management solutions help in solving the IoT scalability challenges of commercial clients across the globe.
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Google offers a comprehensive set of products and services, which include cloud computing, storage and networking, big data, IoT, machine learning, identity security, and developer and management tools. The company also offers cloud platform solutions such as mobile applications, financial services, and web apps. The company also provides an IoT core service, which helps clients to manage their IoT data and devices. Google Cloud IoT Core is a fully managed service that allows enterprises to manage IoT data across devices. This managed service offers clients the infrastructure and services needed to manage IoT data using Google’s software services such as Google Cloud Dataflow, Google BigQuery, and Google Cloud Machine Learning Engine.
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SAP offers cloud platforms, data warehouse software, and management solutions for commercial clients across the globe. The company also provides cloud analytics solutions to access the clients’ enterprise data in real time. SAP provides cloud and data platform solutions and services such as SAP HANA for managing the increasing data and databases needs of customers. The company’s in-memory data platforms help accelerate enterprise business processes, thereby delivering business intelligence with a simplified IT environment.
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With the acquisition of ThingWorx in 2013, PTC initiated its IoT strategy. Thereafter, PTC has developed one of the most robust IoT offerings in the market, the ThingWorx IoT platform. The ThingWorx IoT platform contains a complete set of integrated IoT-specific development tools and capabilities. The platform makes it easy to develop and deliver powerful enterprise IoT solutions, which deliver transformative business value. The platform also provides the technological foundation for transforming business processes and driving better value. PTC has various IoT partners such as Betsol Software Pvt. Ltd., Capgemini Technology Services, Cognizant Technology Solutions, the Bosch Group, and Genpact International Inc. PTC’s IoT technology platform, ThingWorx, is an enterprise-ready platform that enables innovators to rapidly develop and deploy smart, connected solutions for the IoT. ThingWorx contains a set of integrated IoT-specific development tools and capabilities, which simplify solution development.
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SAS offers an enterprise analytics platform that offers data management, data integration, and data. The company’s product portfolio offers reliable solutions, which are used for various business processes that include statistical techniques application, dynamic data collection, collected data contextualization, and dynamic content placement. The company’s unified data management software, business intelligence, and analytics environment are empowering commercial customers to overcome upcoming analytics challenges.
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Dell Technologies has launched new IoT products and is entering into partnerships to help customers tackle IoT deployment complexities and initiate digital transformations. Dell’s new VMware Pulse IoT center is a secure IoT infrastructure management solution that enables customers to gain complete control over their connected devices. VMware Pulse IoT center is helping customers manage, operate, scale, and protect their IoT projects. Dell offers the VMware Pulse IoT center as the preferred enterprise management and monitoring solution for Dell edge gateways. By plugging the Pulse IoT center into the new EdgeX Foundry, VMware can offer system and device management for the EdgeX Ecosystem.
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HPE offers cloud, IoT, infrastructure security, data center infrastructure, and data center modernization as a complete, comprehensive packaged solution. This helps the company gain a competitive edge in the market. The company possesses significant breadth of offerings in the enterprise server, networking, and storage functions. The company provides a wide range of data and analytics solutions such as data center modernization, real-time analytics, data-driven services, and data protection and retention. HPE uses data analytics to gain business intelligence for enhancing customer services and improving product quality. The HPE Universal IoT Platform offers big data analytics solutions and helps in IoT data management.
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In June 2015, Fujitsu launched the Fujitsu Cloud IoT platform, a new IoT data management offering. This IoT platform provides actionable insights from data captured by IoT connected devices. Fujitsu Cloud IoT platform features high-speed data processing, flexible support for configuring IoT devices, and data access management for multiple organizations. It provides efficient and real-time utilization of data insights gathered from cellular connected devices. Fujitsu also offers GlobeRanger iMotion, an IoT edgeware platform that provides a real-time holistic view of the client’s business environment.
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Internet of Things (IoT) Data Management solutions by Eurotech Group allow businesses to recognize the usage pattern of the IoT devices by the users. It also gives an idea about the ends that require developing weak terms. The data management solution contributes to making the best-connected products. The IoT data management solution allows the business to run a field test before it can be put up on the field.
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Data Loss Prevention is a solution that helps clients defend against data leakage and comply with regulatory demands. With automated and customizable actions, Data Loss Prevention can easily detect and identify structured and unstructured data. Thereafter, it can classify, correlate, capture, and control information outflow and determine the most appropriate action of either encrypting, quarantining, or blocking data outflow. TrustWave Holdings caters to a wide array of industries such as automotive, healthcare, retail, BFSI, hospitality, and manufacturing.
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The Striim platform is an end-to-end streaming data integration and operational intelligence solution that enables continuous processing and streaming of analytics. It adds structure, logic, and rules to streaming data. It also defines the time window for analysis, detects outliers, visualizes events of interest, and triggers alerts and automated workflows – all within milliseconds.
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In the Legacy Zebra segment, the company designs, manufactures, and sells printers that produce labels, wristbands, tickets, receipts, and plastic cards. It offers a range of RTLS and services, which integrate active and passive RFID and other tracking technologies, to provide visibility into the location and movement of enterprises’ assets and personnel. Zebra also provides asset tags, call tags, sensors, exciters, middleware software, and application software.
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Teradata Corporation has been continuously developing its IoT capabilities. The company offers a wide range of products and solutions in the IoT data management market. In April 2016, Teradata launched its global IoT analytics units within Teradata Labs. The three units – based in the US, the UK, and India – focus on developing innovations to derive the greatest value from Analytics of Things (AoT). The special-ops team of data scientists, data engineers, and software designers aim to build new, cloud-based analytics solutions and services that simplify advanced analytics, data movement, and database management for IoT. Teradata's AoT services offer early warning detection, which uses predictive analytics to more rapidly find and fix issues with machines and devices.
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LogMeIn offers core cloud-based services to commercial customers across the globe. The company offers the LogMeIn Gravity Service Delivery Platform, a cloud connectivity and data platform that helps establish a secure connection between remote computers and other IoT devices over the internet. It helps in managing the direct transmission of data from remotely connected devices. Additionally, LogMeIn offers legacy services such as LogMeIn Backup, LogMeIn Hamachi, and RemotelyAnywhere.
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Anypoint is MuleSoft’s flagship integration platform. It is a highly productive, hybrid integration platform, which is instrumental in creating an application network for apps, data, and devices. In combination with Mule Engine, the Anypoint Platform enables data integration and orchestration directly on heterogeneous devices. It also supports reliable connection to IoT cloud services and supplementary back-end applications in the data center or cloud.
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InfluxData has three major product offerings – InfluxCloud, a fully managed service offering; InfluxEnterprise, a software that can run on premises or the cloud; and an open source time series platform. InfluxCloud and InfluxEnterprise are based on an open-source core, but they also include proprietary functionalities for projects that require high-availability, horizontal scalability, clustering, and additional production-level features. InfluxData provides a comprehensive set of tools and services to receive metrics and events data from sensors, devices, systems, machines, containers, and applications.
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The implementation of IoT is increasing rapidly in today’s era. The developing sensors are being fitted on to almost every appliance around us to make it automated. Though it makes the task easy, it also adds up more challenges to the business. People make use of IoT that is way beyond prediction. Therefore the Internet of Things (IoT) Data Management solutions by Pentaho comes into the scene. It helps in collecting, managing, and storing IoT data efficiently.

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