Transform Streaming Data
into Real-Time Insights

DataFabric for the Distributed Enterprise

Why Use DataFabric?


DataFabric consumes data from edge devices or streaming infrastructure, using WebSockets, MQTT, and Kafka, to optimize the use of local and cloud compute.


DataFabric generates results at the speed of data to continuously stream the latest insights through real-time API’s and visualizations.


Simplicity and performance shouldn’t be mutually exclusive. DataFabric uses only a fraction of the resources required by existing dataflow pipeline solutions.

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What is DataFabric?

The Power of Now

DataFabric allows you to connect real-time data streams from distributed assets and systems. It seamlessly builds a mesh of stateful, parallel processing to transform, analyze, and act upon data at the speed it’s generated. DataFabric then streams the results and insights to users, applications, and cloud storage.

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How To Use DataFabric


Immediately structure and transform data at the speed it’s generated with available compute.


Incorporate domain logic and machine learning to generate insights and learn from the data.


Accelerate your speed to decision and automate responses to specific alert conditions.


Seamlessly message and route processed data to any dashboard, application, or database.

View The DataFabric

Configure, Manage,
and Monitor
Data Pipelines

DataFabric provides a comprehensive dashboard to visualize the resiliency and performance of any deployment. Monitor applications, inspect data streams, configure meaningful traits, and connect with external systems through a single pane-of-glass experience.

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Built On Open Source

The Only Real-Time Application Platform

SwimOS provides a single, integrated software stack for engineering teams to develop and run applications without requiring a database, message broker and application server. DataFabric is built upon swimOS with additional capabilities for resiliency, scalability, visualization, and deployment.

Learn more about swimOS