Skip to main content

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…
Apache Iceberg - 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… 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… -
Trello 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.

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-1.0.75-py3-none-win_amd64.whl (77.6 MB view details)

Uploaded Python 3Windows x86-64

ingestr-1.0.75-py3-none-manylinux2014_x86_64.whl (77.2 MB view details)

Uploaded Python 3

ingestr-1.0.75-py3-none-manylinux2014_aarch64.whl (68.9 MB view details)

Uploaded Python 3

ingestr-1.0.75-py3-none-macosx_11_0_arm64.whl (70.4 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

ingestr-1.0.75-py3-none-macosx_10_15_x86_64.whl (76.8 MB view details)

Uploaded Python 3macOS 10.15+ x86-64

File details

Details for the file ingestr-1.0.75-py3-none-win_amd64.whl.

File metadata

  • Download URL: ingestr-1.0.75-py3-none-win_amd64.whl
  • Upload date:
  • Size: 77.6 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-1.0.75-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 693e2c10d48b4a6445c28c472b8c1e60bb54308b27b0702a7c3ababdad356bf8
MD5 6aa8dc409dba1f41395b4c577cf5eba6
BLAKE2b-256 947c9d5ef844c58bbe581d8be65617b59d9be15b3a47c0218efa2ef7b26790a9

See more details on using hashes here.

File details

Details for the file ingestr-1.0.75-py3-none-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.75-py3-none-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 afd609d83e9ab0af002e86f0769ab625a5c5431acfd9f05bd9b4a19340417e50
MD5 9d5ad534493112f58d898a137928e6bc
BLAKE2b-256 0f74ba9ba2228bbb2f807da7a0f7c44e3e913bbff775bf47051c161c047236c6

See more details on using hashes here.

File details

Details for the file ingestr-1.0.75-py3-none-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.75-py3-none-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8766d406206703dd7745c3e7a21e001ef2e8fc94b2f05ed79f77078de8d28fff
MD5 a9de1b6e03b8a6667fd5741d125181cd
BLAKE2b-256 aa328e7fa42caceef5781643d9098a82f80f77863f8fb2fc249e87a00a46e067

See more details on using hashes here.

File details

Details for the file ingestr-1.0.75-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.75-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 40aef350a9273cde3824abb37caf055fb201286c4631c5e575ca04d3941a1bc2
MD5 6920270b52c53482b9817b1320db10cc
BLAKE2b-256 1e5c4f53d3e938f7058463259e077b1e30611582bb4c104fe772d116ac61bce4

See more details on using hashes here.

File details

Details for the file ingestr-1.0.75-py3-none-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for ingestr-1.0.75-py3-none-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 197f2b47bb32715b12bd300b78346ee497a384056503bf178f1e0a89090b071b
MD5 5bc0f7bf892426aa722bf7e1f71f0bdb
BLAKE2b-256 d71cf48817fb438faf3a849caa0d6e334ce45e3c5efee8b90b7fa534fa884861

See more details on using hashes here.

Release history Release notifications | RSS feed

Supported by

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