Litmus Edge Manager is an integrated edge-to-cloud Industrial IoT platform that provides everything you need to put industrial data to work for smart manufacturing. The product is purpose-built to collect, process and analyze data at the manufacturing edge, then rapidly integrate the data with any cloud, database, message broker for data storage, analytics, and AI/ML.
Litmus Edge Manager is an integrated edge-to-cloud Industrial IoT platform that provides everything you need to put industrial data to work for smart manufacturing. The product is purpose-built to collect, process and analyze data at the edge, then rapidly integrate the data with any cloud, database, message broker for data storage, analytics, and AI/ML.
Litmus Edge is a flexible and scalable edge platform that collects, analyzes, manages and integrates data from all industrial assets. Purpose-built for Industry 4.0, the Litmus Edge platform provides the edge connectivity and intelligence needed to enable dozens of use cases ranging from predictive maintenance and asset condition monitoring to machine learning and industrial IoT.
Out-of-Box Connectivity to Any PLC, SCADA, MES, Historian or Sensor
Take advantage of hundreds of pre-built and pre-loaded device drivers to connect Litmus Edge to any PLC, SCADA, MES, Historian, ERP, database or sensor out of the box with no programming. Our industry-leading driver library delivers rapid device connectivity and unmatched time-to-value.
Real-Time Data Collection, Contextualization, Processing and Normalization
Litmus Edge collects industrial device data and provides the critical data processing, contextualization using Litmus Digital Twins, normalization and storage needed to power real-time data analytics, monitoring, visualization and insights at the edge. Normalized data can be easily shared between any edge, big data, cloud or enterprise system.
Analyze and Take Action on Real-Time Data at the Source
Access pre-built and ready-to-use KPIs for asset utilization, asset uptime and downtime, capacity utilization and more. Setup up real-time alerts to take action at the data source based on pre-defined events. Leverage edge data to run advanced analytics and machine learning models that can then be applied back to edge devices.
Integrate with any Cloud, Big Data or Enterprise Application
Easily publish data from the edge directly into Azure, AWS, GCP, SAP and other cloud, big data and enterprise applications by configuring connectors from Litmus Edge. Data from these enterprise systems can also be pushed back to industrial devices enabling true edge-to-anywhere-and-back data connectivity.
Pre-Built Edge Solutions that Accelerate Time-to-Value
Litmus Edge offers a Marketplace that can be used to dramatically simplify how applications, solutions and services are managed and deployed at the edge. Access 45+ preloaded applications, or build custom applications and publish them to a private or public marketplace.
Highlights
Litmus Edge connects to any industrial device, contextualizing and structuring data at the edge. Delivering clean, real-time insights, it ensures high-quality, actionable data is ready for enterprise and cloud use.
Litmus Edge Manager centralizes edge operations, synchronizes data models, and deploys applications, ML, and AI models. It ensures consistent, scalable, and efficient data operations management across the enterprise.
Together with Litmus Edge and Edge Manager, you get a full stack solution built for OT, managed by IT, leading to a true IT-OT convergence. Combine the OT data with AWS, and you have a repeatable, and scalable hybrid edge-to-cloud platform.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
This listing uses a single usage-based pricing dimension. You pay per tag, per year, where a tag is a data point collected from your connected industrial equipment. Billing scales directly with the number of tags you use. Each instance carries a minimum of 1,000 tags, so your yearly cost starts at that baseline and rises as you add more tags. There are no separate tiers or instance sizes to choose from here — cost is driven only by tag volume across your deployment.
Top-of-mind questions for buyers
What counts as one tag for billing purposes?
A tag is a single data point collected from your connected industrial equipment, such as readings from controllers, control systems, or historians. Each distinct data point you monitor counts as one tag. Your yearly cost is the total number of tags across the instance.
How does my cost change as I add or remove tags?
You pay per tag, per year, so cost scales directly with tag count. Each instance carries a minimum of 1,000 tags, which sets your starting cost. Adding tags above that minimum raises your yearly cost. You are not billed below the 1,000-tag baseline.
Is billing based on tags per instance, and how do multiple instances add up?
The minimum of 1,000 tags applies per instance. If you run more than one instance, each carries its own 1,000-tag minimum. Your total yearly cost is the per-tag rate multiplied by the tags across all instances, with each instance meeting its own baseline.
litmus.io
Helpful?
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Digital Edge elevates security posture for businesses by implementing the strategies and tools to manage your cybersecurity and compliance process within AWS. With Sophos Cloud Optix we can modernize and streamline your operations by automating your global compliance process, delivering continuous analytics and multicloud visibility through a single console to give you peace of mind.
Turn-key Graviton GPU Ubuntu 24.04 LTS AMI: NVIDIA drivers (CUDA 13.2), Ollama orchestrator, and a Caddy edge proxy. Launch a private, bearer-token gated, OpenAI-compatible LLM endpoint in your own VPC in minutes. Qwen3-1.7B baked in; swap via cloud-init.
OneData Software delivers intelligent edge computing solutions using AWS IoT Greengrass, enabling real-time data processing, ML inference, and secure fleet-wide device management directly on IoT hardware. Their Greengrass-based architecture supports modular deployments, offline resilience, and seamless edge-to-cloud integration—empowering industries to make faster, localized decisions with reduced latency and bandwidth costs.
For North America and regions outside EMEA, Red Hat® OpenShift® Platform Plus builds on the capabilities of enterprise Kubernetes platform Red Hat OpenShift with advanced multicluster security features, day-2 management capabilities, integrated data management, and a global container registry-to protect, manage, and provide security for applications in a consistent way throughout the software life cycle across clusters.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.