Manage your DataOps for machine learning and AI.

Compose data pipelines

Able to click, drag, and compose data pipelines for collecting data from different data streams and sources.

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Compose the collector

Compose a data source specific collector by defining different collection endpoints with few clicks and map incoming data fields into a mediated structure.

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Data preprocessing for machine learning

Define the preprocessing of the collected data through simple click-through configurations. The most important field pre-processors are field masking, field replacing, and field drop.

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Manage the lifecycle of the data pipeline

Create, save, edit, deploy, un-deploy, and delete the data pipeline centrally as well as monitor the running status of the data pipelines.

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Simulate the data pipeline

Able to simulate run-time behavior and data output of the pipeline before deploying into data stream engine.