Deployed on AWS
AWS Free Tier
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.
Overview
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Traditional OT Data Stack vs Litmus
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Building an edge data foundation for scale
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Achieving enterprise wide scale
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Transformation data to information
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Scale management across the enterprise
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Product video
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.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
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.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Litmus Edge is $7.50/tag/year with minimum 1000 tags per instance | $0.000856 |
Dimensions summary
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
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.
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.
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.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
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.
Version release notes
A bug fix release
Additional details
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Vendor resources
Support
Vendor support
Standard Support Included during business hours, 5 days a week. Extended support packages available.
AWS infrastructure support
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.
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