Skip to main content

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

Project description

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


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 -
Shopify -
Slack -
Stripe -

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ingestr-0.8.1.tar.gz (257.2 kB view details)

Uploaded Source

Built Distribution

ingestr-0.8.1-py3-none-any.whl (101.3 kB view details)

Uploaded Python 3

File details

Details for the file ingestr-0.8.1.tar.gz.

File metadata

  • Download URL: ingestr-0.8.1.tar.gz
  • Upload date:
  • Size: 257.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.6

File hashes

Hashes for ingestr-0.8.1.tar.gz
Algorithm Hash digest
SHA256 e80c8faeca5a6fa05a1b92bc5db9343b584675f2d0b2030fe7514db447cc1756
MD5 805fbf2cd17e6885520aa82df317bab1
BLAKE2b-256 9cf7ce4ea01b7b0698996108ac33cfe49c2d81818bb40d07e155a8c80afc0010

See more details on using hashes here.

File details

Details for the file ingestr-0.8.1-py3-none-any.whl.

File metadata

  • Download URL: ingestr-0.8.1-py3-none-any.whl
  • Upload date:
  • Size: 101.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.6

File hashes

Hashes for ingestr-0.8.1-py3-none-any.whl
Algorithm Hash digest
SHA256 34c24e4ecb1e34080cd83e90c7fc5d035adb7d9564feec7ddd4c15c4b7d55a98
MD5 bcf638a6a724aa3354582262d3434b44
BLAKE2b-256 3ce37c552934573ee91ba3dc0e0b8a60f5d8e1c5cb1a763beb0f5c40ece97af0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page