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

Project description

Copy data from any source to any destination without any code


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.

  • โœจ copy data from your database into any destination
  • โž• incremental loading: append, merge or delete+insert
  • ๐Ÿ 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 โœ… โœ…
ClickHouse โœ… โœ…
CrateDB โœ… โœ…
Databricks โœ… โœ…
IBM Db2 โœ… -
DuckDB โœ… โœ…
DynamoDB โœ… -
Elasticsearch โœ… โœ…
GCP Spanner โœ… -
Local CSV file โœ… โœ…
Microsoft SQL Server โœ… โœ…
MongoDB โœ… โœ…
MotherDuck โœ… โœ…
MySQL โœ… โŒ
Oracle โœ… โŒ
Postgres โœ… โœ…
Redshift โœ… โœ…
SAP Hana โœ… โŒ
Snowflake โœ… โœ…
SQLite โœ… โœ…
Trino โœ… โœ…
Platforms
Adjust โœ… -
Airtable โœ… -
Amazon Kinesis โœ… -
Apache Kafka โœ… -
AppsFlyer โœ… -
App Store โœ… -
Asana โœ… -
Attio โœ… -
Chess.com โœ… -
Facebook Ads โœ… -
GitHub โœ… -
Gorgias โœ… -
Google Sheets โœ… -
Google Ads โœ… -
Google Analytics โœ… -
Klaviyo โœ… -
LinkedIn Ads โœ… -
Notion โœ… -
Personio โœ… -
Phantombuster โœ… -
Pipedrive โœ… -
S3 โœ… -
Salesforce โœ… -
Shopify โœ… -
Slack โœ… -
Smartsheets โœ… -
Solidgate โœ… -
Stripe โœ… -
TikTok Ads โœ… -
Zendesk โœ… -

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.

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