Free 31-day trial
SparkPipe is a lightweight, no-code data pipeline that ingests OT data from any MQTT Sparkplug-compliant edge gateway or device and streams it directly to your cloud services. It eliminates the need for ETL pipelines, custom integration logic, and middleware layers, offering a streamlined, secure way to deliver operational data from the edge to the cloud. From real-time analytics to centralized monitoring and storage, SparkPipe gives you a clean, standards-based bridge between your edge infrastructure and cloud-native applications.
Data is Published from Edge Devices
SparkPipe Ingests and Processes the Data
Data is Delivered to the Cloud via Built-In Connectors
Any MQTT Sparkplug-compliant gateway or device publishes real-time OT data to your existing MQTT broker.
SparkPipe connects to the MQTT broker, automatically interprets payloads, and prepares the data for cloud delivery, with no scripting or data mapping required.
Choose your destination: Kafka, AWS IoT SiteWise, Snowflake, MongoDB, or others. SparkPipe streams your data directly to these services with minimal configuration.
No vendor lock-in. No custom logic
Configuration via single TOML file
Built-in connectors, no middleware needed
Use SparkPipe to stream contextualized OT data to the cloud
Compatible with any MQTT Sparkplug-compliant device.
No code, no transformation layers.
Includes built-in connectors for Kafka, AWS IoT SiteWise, Snowflake, MongoDB, and more.
Lightweight runtime, deployed in your own AWS account.
Designed for speed, simplicity, and interoperability.
What SparkPipe Enables
SparkPipe delivers contextualized, structured OT data to your cloud platforms, unlocking industrial use cases through the services you already trust.
AWS IoT SiteWise
SparkPipe provides a no-code integration that automatically creates asset models and assets in SiteWise based on your edge data structure. It continuously ingests real-time OT data into the SiteWise time-series engine, enabling immediate use in KPI computation, dashboards, and AWS-native analytics, without manual setup or custom code.
Snowflake
In Snowflake, SparkPipe enables cloud-based analytics by delivering contextualized OT data into a scalable data platform. This data can be seamlessly combined with information from industrial and enterprise systems, such as ERP, MES, CMMS, or any other relevant data source, enabling unified queries, dashboards, anomaly detection, and predictive analytics using standard SQL tools.
Apache Kafka
Kafka becomes the foundation for real-time industrial data pipelines when powered by SparkPipe. Events and telemetry from the edge are streamed directly into Kafka topics, enabling automation, stream processing with Flink or Kafka Streams, and scalable, decoupled architectures between OT systems and enterprise applications.
MongoDB Time Series
With MongoDB Time Series, SparkPipe enables efficient long-term storage of high-frequency industrial data. Time-stamped sensor readings and events are stored in a queryable format, optimized for historical analysis, diagnostics, and visualization using MongoDB’s native tools or integrations.
Deployment & Security
Deploy with Confidence. Run on Your Terms.
Self-Hosted in Your AWS Account
Simple Launch, Minimal Footprint
Secure by Default
SparkPipe runs entirely within your cloud environment using a hardened AMI.
No agents. No licenses. Launch from the AWS Marketplace in minutes.
TLS encryption, IAM role support, VPC integration, hardened Linux base.
SparkPipe is Sparkplug Compatible Software
SparkPipe fully implements the Sparkplug specification and provides the highest level of compatibility. Being an official Sparkplug Compatible software, guarantees smooth integration with Sparkplug Host Applications. This translates to simplified data exchange and optimized workflows within your IIoT projects.
Get Started
Deploy SparkPipe and Start Streaming OT Data to the Cloud Today
Launch SparkPipe directly from the AWS Marketplace and start streaming contextualized, structured OT data from your edge devices to your preferred cloud platforms.
No code
No lock-in
Free 31-day trial
Whether you’re building analytics dashboards, digital twins, or event-driven pipelines, SparkPipe gets your OT data where it needs to go — reliably, securely, and instantly.
Runs in your own cloud environment — Prebuilt, production-ready AMI
SparkPipe: Stream OT Data to the Cloud with MQTT Sparkplug. No Code. No ETL. No Hassle
Free 31-day trial
SparkPipe connects your edge gateways to your preferred cloud services in minutes, streaming real-time OT data via MQTT Sparkplug, without middleware or manual integration.
What is SparkPipe
A Streamlined, Cloud-Ready Pipeline for OT Data Built on MQTT Sparkplug
SparkPipe is a lightweight, no-code data pipeline that ingests OT data from any MQTT Sparkplug-compliant edge gateway or device and streams it directly to your cloud services. It eliminates the need for ETL pipelines, custom integration logic, and middleware layers, offering a streamlined, secure way to deliver operational data from the edge to the cloud. From real-time analytics to centralized monitoring and storage, SparkPipe gives you a clean, standards-based bridge between your edge infrastructure and cloud-native applications.
How It Works
From Edge to Cloud in Three Simple Steps
Data is Published from Edge Devices
Any MQTT Sparkplug-compliant gateway or device publishes real-time OT data to your existing MQTT broker.
No vendor lock-in. No custom logic
SparkPipe Ingests and Processes the Data
SparkPipe connects to the MQTT broker, automatically interprets payloads, and prepares the data for cloud delivery, with no scripting or data mapping required.
Configuration via single TOML file
Data is Delivered to the Cloud via Built-In Connectors
Choose your destination: Kafka, AWS IoT SiteWise, Snowflake, MongoDB, or others. SparkPipe streams your data directly to these services with minimal configuration.
Built-in connectors, no middleware needed
Use SparkPipe to stream contextualized OT data to the cloud
Compatible with any MQTT Sparkplug-compliant device.
No code, no transformation layers.
Includes built-in connectors for Kafka, AWS IoT SiteWise, Snowflake, MongoDB, and more.
Lightweight runtime, deployed in your own AWS account.
Designed for speed, simplicity, and interoperability.
What SparkPipe Enables
SparkPipe delivers contextualized, structured OT data to your cloud platforms, unlocking industrial use cases through the services you already trust.
AWS IoT SiteWise
SparkPipe delivers contextualized, structured OT data to your cloud platforms, unlocking industrial use cases through the services you already trust.
Snowflake
In Snowflake, SparkPipe enables cloud-based analytics by delivering contextualized OT data into a scalable data platform. This data can be seamlessly combined with information from industrial and enterprise systems, such as ERP, MES, CMMS, or any other relevant data source, enabling unified queries, dashboards, anomaly detection, and predictive analytics using standard SQL tools.
Apache Kafka
Kafka becomes the foundation for real-time industrial data pipelines when powered by SparkPipe. Events and telemetry from the edge are streamed directly into Kafka topics, enabling automation, stream processing with Flink or Kafka Streams, and scalable, decoupled architectures between OT systems and enterprise applications.
MongoDB Time Series
With MongoDB Time Series, SparkPipe enables efficient long-term storage of high-frequency industrial data. Time-stamped sensor readings and events are stored in a queryable format, optimized for historical analysis, diagnostics, and visualization using MongoDB’s native tools or integrations.
Deployment & Security
Deploy with Confidence. Run on Your Terms
Self-Hosted in Your AWS Account
SparkPipe runs entirely within your cloud environment using a hardened AMI.
Simple Launch, Minimal Footprint
No agents. No licenses. Launch from the AWS Marketplace in minutes.
Secure by Default
TLS encryption, IAM role support, VPC integration, hardened Linux base.
Get Started
Deploy SparkPipe and Start Streaming OT Data to the Cloud Today
Launch SparkPipe directly from the AWS Marketplace and start streaming contextualized, structured OT data from your edge devices to your preferred cloud platforms.
No code
No lock-in
Free 31-day trial
Whether you’re building analytics dashboards, digital twins, or event-driven pipelines, SparkPipe gets your OT data where it needs to go — reliably, securely, and instantly.
Runs in your own cloud environment — Prebuilt, production-ready AMI
SparkPipe: Stream OT Data to the Cloud with MQTT Sparkplug. No Code. No ETL. No Hassle
Free 31-day trial
SparkPipe connects your edge gateways to your preferred cloud services in minutes, streaming real-time OT data via MQTT Sparkplug, without middleware or manual integration.
What is SparkPipe
A Streamlined, Cloud-Ready Pipeline for OT Data Built on MQTT Sparkplug
SparkPipe is a lightweight, no-code data pipeline that ingests OT data from any MQTT Sparkplug-compliant edge gateway or device and streams it directly to your cloud services. It eliminates the need for ETL pipelines, custom integration logic, and middleware layers, offering a streamlined, secure way to deliver operational data from the edge to the cloud. From real-time analytics to centralized monitoring and storage, SparkPipe gives you a clean, standards-based bridge between your edge infrastructure and cloud-native applications.
How It Works
From Edge to Cloud in Three Simple Steps
Data is Published from Edge Devices
Any MQTT Sparkplug-compliant gateway or device publishes real-time OT data to your existing MQTT broker.
No vendor lock-in No custom logic
SparkPipe Ingests and Processes the Data
SparkPipe connects to the MQTT broker, automatically interprets payloads, and prepares the data for cloud delivery, with no scripting or data mapping required.
Configuration via single TOML file
Data is Delivered to the Cloud via Built-In Connectors
Choose your destination: Kafka, AWS IoT SiteWise, Snowflake, MongoDB, or others. SparkPipe streams your data directly to these services with minimal configuration.
Built-in connectors, no middleware needed
Use SparkPipe to stream contextualized OT data to the cloud
Compatible with any MQTT Sparkplug-compliant device.
No code, no transformation layers.
Includes built-in connectors for Kafka, AWS IoT SiteWise, Snowflake, MongoDB, and more.
Lightweight runtime, deployed in your own AWS account.
Designed for speed, simplicity, and interoperability.
What SparkPipe Enables
SparkPipe delivers contextualized, structured OT data to your cloud platforms, unlocking industrial use cases through the services you already trust.
AWS IoT SiteWise
SparkPipe provides a no-code integration that automatically creates asset models and assets in SiteWise based on your edge data structure. It continuously ingests real-time OT data into the SiteWise time-series engine, enabling immediate use in KPI computation, dashboards, and AWS-native analytics, without manual setup or custom code.
Snowflake
In Snowflake, SparkPipe enables cloud-based analytics by delivering contextualized OT data into a scalable data platform. This data can be seamlessly combined with information from industrial and enterprise systems, such as ERP, MES, CMMS, or any other relevant data source, enabling unified queries, dashboards, anomaly detection, and predictive analytics using standard SQL tools.
Apache Kafka
Kafka becomes the foundation for real-time industrial data pipelines when powered by SparkPipe. Events and telemetry from the edge are streamed directly into Kafka topics, enabling automation, stream processing with Flink or Kafka Streams, and scalable, decoupled architectures between OT systems and enterprise applications.
MongoDB Time Series
With MongoDB Time Series, SparkPipe enables efficient long-term storage of high-frequency industrial data. Time-stamped sensor readings and events are stored in a queryable format, optimized for historical analysis, diagnostics, and visualization using MongoDB’s native tools or integrations.
Deployment & Security
Deploy with Confidence. Run on Your Terms
Self-Hosted in Your AWS Account
SparkPipe runs entirely within your cloud environment using a hardened AMI.
Simple Launch, Minimal Footprint
No agents. No licenses. Launch from the AWS Marketplace in minutes.
Secure by Default
TLS encryption, IAM role support, VPC integration, hardened Linux base.
Get Started
Deploy SparkPipe and Start Streaming OT Data to the Cloud Today
Launch SparkPipe directly from the AWS Marketplace and start streaming contextualized, structured OT data from your edge devices to your preferred cloud platforms.
No code
No lock-in
Free 31-day trial
Whether you’re building analytics dashboards, digital twins, or event-driven pipelines, SparkPipe gets your OT data where it needs to go — reliably, securely, and instantly.
Runs in your own cloud environment — Prebuilt, production-ready AMI
FAQ’s
SparkPipe is a no-code data pipeline that ingests OT data from MQTT Sparkplug-compliant devices and streams it directly to cloud services. By interpreting Sparkplug payloads automatically, SparkPipe eliminates the need for ETL pipelines or custom scripts and enables seamless edge-to-cloud integration with platforms like AWS IoT SiteWise, Kafka, Snowflake, and MongoDB Time Series.
MQTT is a lightweight messaging protocol widely used in IoT. MQTT Sparkplug builds on top of MQTT to define a standardized data model and messaging conventions for industrial systems. This ensures that OT data is contextualized, structured, and ready for cloud analytics. SparkPipe is specifically designed to support Sparkplug payloads end-to-end.
The built-in Snowflake connector in SparkPipe streams contextualized OT data directly into Snowflake. Once there, this data can be combined with ERP, MES, or CMMS datasets, making it easy to run SQL queries, dashboards, anomaly detection, or predictive analytics at scale.
SparkPipe includes a native Kafka connector that publishes MQTT Sparkplug data into Kafka topics in real time. This allows you to trigger workflows, send alerts, or feed stream processors like Flink — all without writing custom producers or middleware.
Yes. SparkPipe connects to your existing MQTT broker and automatically detects Sparkplug-compliant devices. You don’t need to replace your broker or disrupt your existing setup.
Yes. SparkPipe works with any Sparkplug B-compliant device or gateway — including Ignition by Inductive Automation with Cirrus Link modules — making it highly interoperable with existing OT infrastructures.
Custom scripts and homegrown pipelines often create technical debt, requiring constant maintenance, troubleshooting, and updates as systems evolve. SparkPipe prevents this by providing a no-code, stateless, and secure pipeline with built-in connectors for AWS IoT SiteWise, Snowflake, Apache Kafka, MongoDB Time Series, and more to come. It’s purpose-built for OT data, so you can deploy quickly, scale easily, and stay ready for future cloud platforms without the burden of maintaining custom integrations.
Stateless means SparkPipe doesn’t store or manage persistent data internally. It continuously forwards OT data from edge devices to cloud destinations. This design makes it lightweight, resilient, and easy to scale without state synchronization.
SparkPipe runs fully inside your AWS environment, using TLS encryption, IAM roles for access management, and VPC isolation. Since it is self-hosted, you maintain complete control over your infrastructure and data security.
Yes. While SparkPipe doesn’t perform analytics itself, it delivers structured OT data into platforms such as AWS IoT SiteWise or Snowflake. These services can then be used to build digital twins, monitor KPIs, or run predictive maintenance models powered by machine learning.
FAQ’s
SparkPipe is a no-code data pipeline that ingests OT data from MQTT Sparkplug-compliant devices and streams it directly to cloud services. By interpreting Sparkplug payloads automatically, SparkPipe eliminates the need for ETL pipelines or custom scripts and enables seamless edge-to-cloud integration with platforms like AWS IoT SiteWise, Kafka, Snowflake, and MongoDB Time Series.
MQTT is a lightweight messaging protocol widely used in IoT. MQTT Sparkplug builds on top of MQTT to define a standardized data model and messaging conventions for industrial systems. This ensures that OT data is contextualized, structured, and ready for cloud analytics. SparkPipe is specifically designed to support Sparkplug payloads end-to-end.
The built-in Snowflake connector in SparkPipe streams contextualized OT data directly into Snowflake. Once there, this data can be combined with ERP, MES, or CMMS datasets, making it easy to run SQL queries, dashboards, anomaly detection, or predictive analytics at scale.
SparkPipe includes a native Kafka connector that publishes MQTT Sparkplug data into Kafka topics in real time. This allows you to trigger workflows, send alerts, or feed stream processors like Flink — all without writing custom producers or middleware.
Yes. SparkPipe connects to your existing MQTT broker and automatically detects Sparkplug-compliant devices. You don’t need to replace your broker or disrupt your existing setup.
Yes. SparkPipe works with any Sparkplug B-compliant device or gateway — including Ignition by Inductive Automation with Cirrus Link modules — making it highly interoperable with existing OT infrastructures.
Custom scripts and homegrown pipelines often create technical debt, requiring constant maintenance, troubleshooting, and updates as systems evolve. SparkPipe prevents this by providing a no-code, stateless, and secure pipeline with built-in connectors for AWS IoT SiteWise, Snowflake, Apache Kafka, MongoDB Time Series, and more to come. It’s purpose-built for OT data, so you can deploy quickly, scale easily, and stay ready for future cloud platforms without the burden of maintaining custom integrations.
Stateless means SparkPipe doesn’t store or manage persistent data internally. It continuously forwards OT data from edge devices to cloud destinations. This design makes it lightweight, resilient, and easy to scale without state synchronization.
SparkPipe runs fully inside your AWS environment, using TLS encryption, IAM roles for access management, and VPC isolation. Since it is self-hosted, you maintain complete control over your infrastructure and data security.
Yes. While SparkPipe doesn’t perform analytics itself, it delivers structured OT data into platforms such as AWS IoT SiteWise or Snowflake. These services can then be used to build digital twins, monitor KPIs, or run predictive maintenance models powered by machine learning.
N3uron software is an Industrial Edge Platform for IIoT and DataOps that streamlines the flow of data between industrial systems and business applications, either on-premise or in the cloud. N3uron provides an out-of-the-box solution for data standardization, normalization and contextualization, seamless integration with industrial and IT systems, efficient information management, and unparalleled scalability and security. The N3uron platform makes it easier for operations teams to aggregate, manage and analyze industrial data, resulting in enhanced productivity and informed decision-making. Whether you're looking to optimize your operations, reduce downtime or improve product quality, the N3uron platform is the answer.
CONTRIBUTING MEMBER
N3uron is a Contributing Member of the Eclipse Foundation, actively participating in the development of their robust ecosystem. By leveraging EF technologies, we offer innovative products and services that drive our corporate strategy forward. N3uron is Sparkplug Compatible Software.
DLMS® UA MEMBER
N3uron is a member of the DLMS® User Association, the global community that drives standardization in the energy and water industry. Being part of the DLMS UA represents N3uron's commitment to advancing smart metering and energy management solutions.
FOLLOW US
N3uron Connectivity Systems • Paseo de la Castellana, 91, 4º, 1; Madrid, 28046, Spain • +34 911 841 938 • [email protected]
N3uron software is an Industrial Edge Platform for IIoT and DataOps that streamlines the flow of data between industrial systems and business applications, either on-premise or in the cloud. N3uron provides an out-of-the-box solution for data standardization, normalization and contextualization, seamless integration with industrial and IT systems, efficient information management, and unparalleled scalability and security. The N3uron platform makes it easier for operations teams to aggregate, manage and analyze industrial data, resulting in enhanced productivity and informed decision-making. Whether you're looking to optimize your operations, reduce downtime or improve product quality, the N3uron platform is the answer.
CONTRIBUTING MEMBER
N3uron is a Contributing Member of the Eclipse Foundation, actively participating in the development of their robust ecosystem. By leveraging EF technologies, we offer innovative products and services that drive our corporate strategy forward. N3uron is Sparkplug Compatible Software.
CONTRIBUTING MEMBER
N3uron is a Contributing Member of the Eclipse Foundation, actively participating in the development of their robust ecosystem. By leveraging EF technologies, we offer innovative products and services that drive our corporate strategy forward. N3uron is Sparkplug Compatible Software.
FOLLOW US
N3uron Connectivity Systems • Paseo de la Castellana, 91, 4º, 1; Madrid, 28046, Spain • +34 911 841 938 • [email protected]
N3uron software is an Industrial Edge Platform for IIoT and DataOps that streamlines the flow of data between industrial systems and business applications, either on-premise or in the cloud. N3uron provides an out-of-the-box solution for data standardization, normalization and contextualization, seamless integration with industrial and IT systems, efficient information management, and unparalleled scalability and security. The N3uron platform makes it easier for operations teams to aggregate, manage and analyze industrial data, resulting in enhanced productivity and informed decision-making. Whether you're looking to optimize your operations, reduce downtime or improve product quality, the N3uron platform is the answer.
CONTRIBUTING MEMBER
N3uron is a Contributing Member of the Eclipse Foundation, actively participating in the development of their robust ecosystem. By leveraging EF technologies, we offer innovative products and services that drive our corporate strategy forward. N3uron is Sparkplug Compatible Software.
DLMS® UA MEMBER
N3uron is a member of the DLMS® User Association, the global community that drives standardization in the energy and water industry. Being part of the DLMS UA represents N3uron's commitment to advancing smart metering and energy management solutions.
FOLLOW US
N3uron Connectivity Systems • Paseo de la Castellana, 91, 4º, 1; Madrid, 28046, Spain • +34 911 841 938 • [email protected]