Integrations

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

20 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

SQLite Source · Destination

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

Join Combine

Cross join Combine

Union Combine

Fuzzy match Combine

Graph solver Combine

Wait for Combine

Select columns Reshape

Rename columns Reshape

Sort Reshape

Drop duplicates Reshape

Pivot Reshape

Unpivot Reshape

Text to rows Reshape

Group by Aggregate

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

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.