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. - ✨ 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. ![MongoDB to Postgres benchmark](resources/mongodb-postgres-benchmark.png?raw=true) ## Installation You can install `ingestr` using the install script: ```sh curl -LsSf https://getbruin.com/install/ingestr | sh ``` Alternatively, you can install it with pip: ```sh pip install ingestr ``` The pip package can also be used from Python. Install the SDK extra for Python data ingestion: ```sh pip install 'ingestr[sdk]' ``` Python rows, generators, and DataFrames are sent to the bundled `ingestr` binary as Arrow IPC streams by default: ```python 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: ```python 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, ...)`: ```python 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: ```python 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 ```bash ingestr ingest \ --source-uri 'postgresql://admin:admin@localhost:8837/web?sslmode=disable' \ --source-table 'public.some_data' \ --dest-uri 'bigquery://?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](https://bruin-data.github.io/ingestr/getting-started/quickstart.html). ## Community Join our Slack community [here](https://join.slack.com/t/bruindatacommunity/shared_invite/zt-2dl2i8foy-bVsuMUauHeN9M2laVm3ZVg). ## 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	✅	✅
Apache Iceberg	-	✅
AWS Redshift	✅	✅
Cassandra	✅	✅
ClickHouse	✅	✅
Couchbase	✅	-
CrateDB	✅	✅
Databricks	✅	✅
DuckDB	✅	✅
DynamoDB	✅	✅
Elasticsearch	✅	✅
Google BigQuery	✅	✅
GCP Spanner	✅	-
IBM Db2	✅	-
InfluxDB	✅	-
Kafka	✅	-
Local CSV file	✅	✅
MaxCompute	✅	✅
Microsoft Fabric	✅	✅
Microsoft OneLake	-	✅
Microsoft SQL Server	✅	✅
MongoDB	✅	✅
MotherDuck	✅	✅
MySQL	✅	✅
Oracle	✅	-
PlanetScale	✅	✅
Postgres	✅	✅
RabbitMQ	✅	-
SAP Hana	✅	-
Snowflake	✅	✅
Socrata	✅	-
SQLite	✅	✅
StarRocks	✅	✅
Synapse	-	✅
Trino	✅	✅
Platforms
Adjust	✅	-
Airtable	✅	-
Allium	✅	-
Amazon Kinesis	✅	-
Anthropic	✅	-
API-Football	✅	-
AppsFlyer	✅	-
Apple Ads	✅	-
Apple App Store	✅	-
Applovin	✅	-
Applovin Max	✅	-
Asana	✅	-
Attio	✅	-
Azure Data Lake Storage Gen2	✅	✅
BallDontLie FIFA	✅	-
Braze	✅	-
Bruin	✅	-
Chess.com	✅	-
ClickUp	✅	-
Cursor	✅	-
Docebo	✅	-
Dune	✅	-
Facebook Ads	✅	-
Fireflies	✅	-
Fluxx	✅	-
football-data.org	✅	-
Frankfurter	✅	-
Freshdesk	✅	-
FundraiseUp	✅	-
G2	✅	-
GitHub	✅	-
GitLab	✅	-
Google Ads	✅	-
Google Analytics	✅	-
Google Cloud Storage (GCS)	✅	✅
Google Sheets	✅	-
Gorgias	✅	-
Granola	✅	-
Hostaway	✅	-
HubSpot	✅	-
Indeed	✅	-
Intercom	✅	-
Internet Society Pulse	✅	-
Jira	✅	-
JobTread	✅	-
Klaviyo	✅	-
Linear	✅	-
LinkedIn Ads	✅	-
Mailchimp	✅	-
Mixpanel	✅	-
Monday	✅	-
Notion	✅	-
Paddle	✅	-
Personio	✅	-
PhantomBuster	✅	-
Pinterest	✅	-
Pipedrive	✅	-
Plus Vibe AI	✅	-
PostHog	✅	-
Primer	✅	-
QuickBooks	✅	-
Reddit Ads	✅	-
RevenueCat	✅	-
S3	✅	✅
Salesforce	✅	-
SFTP	✅	-
SendGrid	✅	-
Shopify	✅	-
Slack	✅	-
Smartsheet	✅	-
Snapchat Ads	✅	-
Solidgate	✅	-
Square	✅	-
Stripe	✅	-
SurveyMonkey	✅	-
TikTok Ads	✅	-
Trello	✅	-
Trustpilot	✅	-
Twilio	✅	-
Wise	✅	-
Zendesk	✅	-
Zoom	✅	-

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](https://fsl.software/), 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.