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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.

MongoDB to Postgres benchmark

Installation

You can install ingestr using the install script:

curl -LsSf https://getbruin.com/install/ingestr | sh

Alternatively, you can install it with pip:

pip install ingestr

The pip package can also be used from Python. Install the SDK extra for Python data ingestion:

pip install 'ingestr[sdk]'

Python rows, generators, and DataFrames are sent to the bundled ingestr binary as Arrow IPC streams by default:

import ingestr

ingestr.ingest(
    [{"id": 1, "name": "Ada"}, {"id": 2, "name": "Grace"}],
    dest_uri="duckdb:///tmp/warehouse.duckdb",
    dest_table="main.people",
)

DataFrames and yielded data use the same Arrow stream transport:

ingestr.ingest(df, dest_uri="duckdb:///tmp/warehouse.duckdb", dest_table="main.events")

def events():
    yield [{"id": 1, "event": "signup"}]
    yield [{"id": 2, "event": "purchase"}]

ingestr.ingest(events, dest_uri="postgresql://...", dest_table="public.events")

For push-style code, omit the data argument and use ingest as a context manager. The context value accepts the same shapes as ingestr.ingest(data, ...):

with ingestr.ingest(dest_uri="postgresql://...", dest_table="public.events") as ingest:
    for response in client.list_events():
        ingest(response["items"])

For very large already-materialized data, use the existing mmap Arrow IPC file transport:

ingestr.ingest(df, dest_uri="duckdb:///tmp/warehouse.duckdb", dest_table="main.events", transport="mmap")

For full CLI pass-through, use ingestr.run(["ingest", "--source-uri", "...", "--dest-uri", "...", "--source-table", "..."]), or ingestr.run_cli(...) for keyword arguments that map to CLI flags.

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
AWS Athena โœ… โœ…
AWS Redshift โœ… โœ…
Cassandra โœ… โœ…
ClickHouse โœ… โœ…
Couchbase โœ… -
CrateDB โœ… โœ…
Databricks โœ… โœ…
DuckDB โœ… โœ…
DynamoDB โœ… โœ…
Elasticsearch โœ… โœ…
Google BigQuery โœ… โœ…
GCP Spanner โœ… -
IBM Db2 โœ… -
InfluxDB โœ… -
Kafka โœ… -
Local CSV file โœ… โœ…
MaxCompute โœ… โœ…
Microsoft Fabric โœ… โœ…
Microsoft OneLake - โœ…
Microsoft SQL Server โœ… โœ…
MongoDB โœ… โœ…
MotherDuck โœ… โœ…
MySQL โœ… โœ…
Oracle โœ… -
PlanetScale โœ… โœ…
Postgres โœ… โœ…
RabbitMQ โœ… -
SAP Hana โœ… -
Snowflake โœ… โœ…
Socrata โœ… -
SQLite โœ… โœ…
StarRocks โœ… -
Synapse - โœ…
Trino โœ… โœ…
Platforms
Adjust โœ… -
Airtable โœ… -
Allium โœ… -
Amazon Kinesis โœ… -
Anthropic โœ… -
API-Football โœ… -
AppsFlyer โœ… -
Apple Ads โœ… -
Apple App Store โœ… -
Applovin โœ… -
Applovin Max โœ… -
Asana โœ… -
Attio โœ… -
Azure Data Lake Storage Gen2 โœ… โœ…
BallDontLie FIFA โœ… -
Braze โœ… -
Bruin โœ… -
Chess.com โœ… -
ClickUp โœ… -
Cursor โœ… -
Docebo โœ… -
Dune โœ… -
Facebook Ads โœ… -
Fireflies โœ… -
Fluxx โœ… -
football-data.org โœ… -
Frankfurter โœ… -
Freshdesk โœ… -
FundraiseUp โœ… -
G2 โœ… -
GitHub โœ… -
GitLab โœ… -
Google Ads โœ… -
Google Analytics โœ… -
Google Cloud Storage (GCS) โœ… โœ…
Google Sheets โœ… -
Gorgias โœ… -
Granola โœ… -
Hostaway โœ… -
HubSpot โœ… -
Indeed โœ… -
Intercom โœ… -
Internet Society Pulse โœ… -
Jira โœ… -
JobTread โœ… -
Klaviyo โœ… -
Linear โœ… -
LinkedIn Ads โœ… -
Mailchimp โœ… -
Mixpanel โœ… -
Monday โœ… -
Notion โœ… -
Paddle โœ… -
Personio โœ… -
PhantomBuster โœ… -
Pinterest โœ… -
Pipedrive โœ… -
Plus Vibe AI โœ… -
PostHog โœ… -
Primer โœ… -
QuickBooks โœ… -
Reddit Ads โœ… -
RevenueCat โœ… -
S3 โœ… โœ…
Salesforce โœ… -
SFTP โœ… -
SendGrid โœ… -
Shopify โœ… -
Slack โœ… -
Smartsheet โœ… -
Snapchat Ads โœ… -
Solidgate โœ… -
Square โœ… -
Stripe โœ… -
SurveyMonkey โœ… -
TikTok Ads โœ… -
Trustpilot โœ… -
Twilio โœ… -
Wise โœ… -
Zendesk โœ… -
Zoom โœ… -

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

License

ingestr is source-available under the Functional Source License 1.1, with Apache 2.0 as the future license. You can use ingestr freely for internal production use, development, testing, education, research, and professional services. You cannot use ingestr to offer a competing commercial ingestion, ELT, connector, or managed data pipeline product/service.

Each version becomes Apache 2.0 two years after release.

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