Differentially private data aggregation

Write fast, flexible pipelines that use modern techniques to aggregate user data in a privacy-preserving manner.

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Compute aggregations across huge datasets while preserving individual privacy.

  • Open source

    PipelineDP is entirely open source with contributors from across the globe.

  • Scalable

    PipelineDP is built from the ground up to handle massive datasets with ease.

  • Fast

    PipelineDP gives you enormous privacy benefits without sacrificing speed.

  • Flexible

    PipelineDP has no vendor lock-in and interoperates well with other systems.

Utility Analysis

Integrate directly with the DP Utility Analysis toolkit to visualize and quantify the privacy vs utility trade-offs of DP and tune DP parameters.

  • Understand how PipelineDP changes your data
  • Adjust parameters such as epsilon, delta, several bounds
  • Audit massive datasets in an efficient, performant way
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