ingestr 0.9.2

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

Ingest & copy data from any source to any destination without any code

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Ingestr is a command-line application 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

pip install ingestr

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 will:

• get the table public.some_data from the Postgres instance.
• upload 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.

Supported Sources & Destinations

	Source	Destination
Databases
Postgres	✅	✅
BigQuery	✅	✅
Snowflake	✅	✅
Redshift	✅	✅
Databricks	✅	✅
DuckDB	✅	✅
Microsoft SQL Server	✅	✅
Local CSV file	✅	✅
MongoDB	✅	❌
Oracle	✅	❌
SAP Hana	✅	❌
SQLite	✅	❌
MySQL	✅	❌
Platforms
Adjust	✅	-
Airtable	✅	-
AppsFlyer	✅	-
Chess.com	✅	-
Facebook Ads	✅	-
Gorgias	✅	-
Google Sheets	✅	-
HubSpot	✅	-
Klaviyo	✅	-
Notion	✅	-
S3	✅	-
Shopify	✅	-
Slack	✅	-
Stripe	✅	-
Zendesk	✅	-

More to come soon!

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.