Skip to main content

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… -
Postgres โœ… โœ…
RabbitMQ โœ… -
SAP Hana โœ… -
Snowflake โœ… โœ…
Socrata โœ… -
SQLite โœ… 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… -
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… -
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.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

ingestr-1.0.40-py3-none-win_amd64.whl (61.5 MB view details)

Uploaded Python 3Windows x86-64

ingestr-1.0.40-py3-none-manylinux2014_x86_64.whl (59.8 MB view details)

Uploaded Python 3

ingestr-1.0.40-py3-none-manylinux2014_aarch64.whl (53.4 MB view details)

Uploaded Python 3

ingestr-1.0.40-py3-none-macosx_11_0_arm64.whl (55.2 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

ingestr-1.0.40-py3-none-macosx_10_15_x86_64.whl (60.1 MB view details)

Uploaded Python 3macOS 10.15+ x86-64

File details

Details for the file ingestr-1.0.40-py3-none-win_amd64.whl.

File metadata

  • Download URL: ingestr-1.0.40-py3-none-win_amd64.whl
  • Upload date:
  • Size: 61.5 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for ingestr-1.0.40-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 79922c1ce06d02cdbc3265277e882b116cf206fb80104ef273b8cfbe58b4ab6b
MD5 f5e16f69801b4f7ccdcce87ddfb1a9f4
BLAKE2b-256 c1d0e06425d60fe80598f44e2b4193f529054a7dbd7b72de08b811e38f977c45

See more details on using hashes here.

File details

Details for the file ingestr-1.0.40-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.40-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 66b7ec8e5cb761842898b02b809c91a1f491e6c97c70983b08547aeb8deec568
MD5 d880c8ba9419d39104bf150aa1a734a3
BLAKE2b-256 9fbfb2cef0c752345ad5673fc3a53a3129e051eed4a57d466518be3072840786

See more details on using hashes here.

File details

Details for the file ingestr-1.0.40-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.40-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0477e6a982be48d758b6a0b813fd0eedf3a3c3ca225a56c40218f41705c85a79
MD5 5881268aea5cd3cac72f10cb03bf79a2
BLAKE2b-256 edc8c971ea35a4b24fd3f65c26abed25880818136cd24a9da2cb45dd0217b3f1

See more details on using hashes here.

File details

Details for the file ingestr-1.0.40-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.40-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ebfc7fc88e894864c57ef89df9dc0b08ae81394178c80e7a9b8a327b1e68d938
MD5 37ae24c37ad76511b3b70daa4b3f7b1a
BLAKE2b-256 0a222ffcaac70f10d0668b8549aff60060ba5c9010f89044a34cfa646b28c675

See more details on using hashes here.

File details

Details for the file ingestr-1.0.40-py3-none-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.40-py3-none-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 262fb2d6bc7c1af25972183d20ba7992883f1fae68f99b77ee417fc35baa163a
MD5 d5acf160cdd1bfc87c9e00ae292a0570
BLAKE2b-256 3f477637f53dcbded4aaa15166116039f1882978db29a7858a448aa3819ca5cc

See more details on using hashes here.

Supported by

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