Integrations

Connect your data, then transform it — visually or in code

23 connectors and 28 transformation nodes, all open source. Read from files, databases, cloud storage, streams and APIs; join, reshape, aggregate, model, and run SQL or Python in between. Every block behaves the same on the visual canvas and in the Polars-compatible Python API. Search the catalogue, or filter by category and direction — sources read in, destinations write out.

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CSV Source · Destination Excel Source · Destination

Parquet Source · Destination

JSON Source · Destination NDJSON Source · Destination Avro Source · Destination

Arrow IPC Source · Destination Delta Lake Source · Destination

PostgreSQL Source · Destination

MySQL Source · Destination SQL Server Source · Destination

SQLite Source · Destination

DuckDB Source · Destination Denodo Source

Amazon S3 Source · Destination

MinIO Source · Destination

Azure Data Lake Source · Destination

Google Cloud Storage Source · Destination

Apache Kafka Source Redpanda Source REST API Source

Google Analytics 4 Source Data Catalog Source · Destination

Select columns Reshape

Rename columns Reshape

Sort Reshape

Drop duplicates Reshape

Window functions Aggregate

Count records Aggregate

Filter Columns & rows

Formula Columns & rows

Add record ID Columns & rows

Take sample Columns & rows

Random split Columns & rows

Polars code Code

SQL query Code

Python script Code

Train model Machine learning

Apply model Machine learning

Evaluate model Machine learning

Explore data Explore

Every tile opens that connector or node in the Flowfile docs. Everything here runs in the desktop app, Docker, or pip install flowfile. Flowfile Lite — the free, in-browser build — runs a focused subset entirely client-side, so it doesn't include databases, cloud, streaming, or ML.