Real-time processing made simple

Build and deploy a custom system in a matter of minutes. Our VSCode extension is preloaded with production-ready templates for real-time IoT, Machine Learning, and Security applications.

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 1  
 2  from typing import Any, Dict
 3  
 4  from buildflow import Flow
 5  from buildflow.io.gcp import GCSFileStream
 6  from buildflow.io.aws import S3Bucket
 7  from buildflow.types.gcp import GCSFileChangeEvent
 8  
 9  app = Flow()
10  
11  # Process a stream of file changes from GCS and write to S3
12  @app.pipeline(
13    source=GCSFileStream("input-bucket-name"),
14    sink=S3Bucket("output-bucket-name"),
15  )
16  def process(file_change: GCSFileChangeEvent):
17      return file_change.blob
18

Ingest & Process IoT Data

Ingest, Process, and Persist your IoT data at scale. With LaunchFlow, you can quickly setup an end-to-end pipeline for collecting and processing nearly any type and volume of IoT data.

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Serverless Infrastructure

Everything in the LaunchFlow ecosystem is serverless. No need to worry about servers, containers, or clusters. Just write your application code and let LaunchFlow handle the rest.

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Efficient Python Systems

Our in-memory processing model can lower your bill significantly. With LaunchFlow, you can develop production-grade systems with just a few lines of Python code.

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Real-time Apps & APIs

Serve real-time data to your users with just a few lines of code. Stream updates to your clients over websockets or HTTP. With LaunchFlow, you can effortlessly scale up to handle nearly any throughput requirement.

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