ingestr 0.14.150

ingestr is a command-line application that ingests data from various sources and stores them in any database.

Copy data from any source to any destination without any code

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ingestr is a command-line app that allows you to ingest data from any source into any destination using simple command-line flags, no code necessary.

• ✨ copy data from your database into any destination
• ➕ incremental loading: append, merge or delete+insert
• 🐍 single-command installation

ingestr takes away the complexity of managing any backend or writing any code for ingesting data, simply run the command and watch the data land on its destination.

Installation

We recommend using uv to run ingestr.

pip install uv
uvx ingestr

Alternatively, if you'd like to install it globally:

uv pip install --system ingestr

While installation with vanilla pip is possible, it's an order of magnitude slower.

Quickstart

ingestr ingest \
    --source-uri 'postgresql://admin:admin@localhost:8837/web?sslmode=disable' \
    --source-table 'public.some_data' \
    --dest-uri 'bigquery://<your-project-name>?credentials_path=/path/to/service/account.json' \
    --dest-table 'ingestr.some_data'

That's it.

This command:

• gets the table public.some_data from the Postgres instance.
• uploads this data to your BigQuery warehouse under the schema ingestr and table some_data.

Documentation

You can see the full documentation here.

Community

Join our Slack community here.

Contributing

Pull requests are welcome. However, please open an issue first to discuss what you would like to change. We maybe able to offer you help and feedback regarding any changes you would like to make.

[!NOTE] After cloning ingestr make sure to run make setup to install githooks.

Supported sources & destinations

	Source	Destination
Databases
BigQuery	✅	✅
ClickHouse	✅	✅
CrateDB	✅	✅
Databricks	✅	✅
IBM Db2	✅	-
DuckDB	✅	✅
DynamoDB	✅	-
Elasticsearch	✅	✅
GCP Spanner	✅	-
Local CSV file	✅	✅
Microsoft SQL Server	✅	✅
MongoDB	✅	✅
MotherDuck	✅	✅
MySQL	✅	❌
Oracle	✅	❌
Postgres	✅	✅
Redshift	✅	✅
SAP Hana	✅	❌
Snowflake	✅	✅
SQLite	✅	❌
Trino	✅	✅
Platforms
Adjust	✅	-
Airtable	✅	-
Amazon Kinesis	✅	-
Apache Kafka	✅	-
AppsFlyer	✅	-
App Store	✅	-
Asana	✅	-
Attio	✅	-
Chess.com	✅	-
Facebook Ads	✅	-
GitHub	✅	-
Gorgias	✅	-
Google Sheets	✅	-
Google Ads	✅	-
Google Analytics	✅	-
Klaviyo	✅	-
LinkedIn Ads	✅	-
Notion	✅	-
Personio	✅	-
Phantombuster	✅	-
Pipedrive	✅	-
S3	✅	-
Salesforce	✅	-
Shopify	✅	-
Slack	✅	-
Smartsheets	✅	-
Solidgate	✅	-
Stripe	✅	-
TikTok Ads	✅	-
Zendesk	✅	-

Feel free to create an issue if you'd like to see support for another source or destination.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Some components are licensed under Apache 2.0 - see the NOTICE file for details.

Acknowledgements

This project would not have been possible without the amazing work done by the SQLAlchemy and dlt teams. We relied on their work to connect to various sources and destinations, and built ingestr as a simple, opinionated wrapper around their work.