Introducing Arch's AI Data Engineer Agent Introducing Arch's AI Data Engineer Agent Smarter, Proactive Data Management

Extract & Load
with joy

CLI & version control for ELT without limitations

cloud left
cloud right
castle
waterfall

Loved by data teams

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Meltano gives data engineers
control and visibility
of their pipelines

No more black box. Let your creativity flow.

Sources
Destinations
SaaS APISaaS API
DatabaseDatabase
FileFile
Custom SourceCustom Source
DatabaseDatabase
Vector DBVector DB
Data WarehouseData Warehouse
Data LakeData Lake

Your data, where you want it
the way you want it

We've got 100% of your data sources & destinations covered:
Databases, SaaS APIs, raw files, and anything niche or internal

Meltano provides data engineers with a streamlined workflow that boosts productivity

Easily create and manage pipelines as code. Modify connectors to your liking or create your own. Test your changes before they go live, and view full pipeline logs and quickly roll back if something goes wrong.

Customizable

Manage all your pipelines in one place
  • Custom connectors for niche or internal sources, built with our Meltano SDK
  • Custom forks of existing connectors with your own modifications
  • Your Python scripts and data tools like dbt
Terminal
meltano add extractor tap-postgres
meltano add loader target-snowflake
cookiecutter https://github.com/meltano/sdk \
--directory="cookiecutter/tap-template
# source_name: my-api
meltano add --custom extractor tap-my-api
meltano add utility dbt-snowflake
meltano add --custom utility my-script.py
meltano run tap-postgres target-snowflake dbt-snowflake
meltano run tap-my-api target-snowflake my-script.py

Transparent

Know exactly what's going on
  • Get the full view with detailed pipeline logs
  • Inspect the source code of any connector, modify them to your liking, or debug and fix an issue faster than any support agent
  • Centrally manage your configuration so anyone can suggest changes
Terminal
export MELTANO_LOG_LEVEL=debug
meltano run tap-github target-duckdb
cat .meltano/logs/elt/github-to-duckdb-hourly/*/*.log
git clone https://github.com/MeltanoLabs/tap-github.git
git clone https://github.com/jwills/target-duckdb.git
meltano add --custom extractor tap-github-fork
# pip_url: https://github.com/my-org/tap-github.git
meltano run tap-github-fork target-duckdb

Versionable

Increase productivity and collaboration
  • Store your pipelines and their configuration in Git and know exactly what is live at any time
  • Roll back to the last known-good configuration if a change accidentally broke something
  • Propose changes with confidence and get feedback from your team in pull requests
meltano.yml
plugins:
extractors:
- name: tap-postgres
config:
host: pg.example.com
user: admin
password: $PG_PASSWORD
select:
- users.*
loaders:
- name: target-snowflake
schedules:
- name: app-to-dw
interval: @hourly
extractor: tap-postgres
loader: target-snowflake

Testable

Make changes with confidence
  • Safely experiment with new pipelines, connectors, and configuration changes on your local machine
  • Manually verify the impact of any changes in isolated feature-branch and staging environments
  • Automatically test your pipelines in CI, and only deploy to production once everything is green
Terminal
git clone https://github.com/my-org/my-meltano-project.git
git checkout -b update-postgres
meltano config tap-postgres set host new-host.example
meltano select tap-postgres new-table "*"
meltano run tap-postgres target-snowflake
git commit -am "Update postgres host and table"
git push origin
gh pr create

Programmable

Integrate deeply with your product
  • Let your users directly connect data sources and manage pipelines from your application code
  • Define pipeline templates and dynamically instantiate them based on API credentials in your database
  • Configure connectors at runtime using environment variables or a dynamically generated config file
meltano.yml
plugins:
extractors:
- name: tap-shopify
- name: tap-postgres--shopify-configs
inherit_from: tap-postgres
select:
- shopify_configs.*
loaders:
- name: target-snowflake
schedules:
- name: sync-all-shopify
interval: @hourly
config_source:
tap-shopify: tap-postgres--shopify-configs
extractor: tap-shopify
loader: target-snowflake

One tool for all your
data movement needs

No more point-and-click-and-cross-your-fingers.
Build data pipelines that fit exactly to your needs

Databases and warehouses

Databases and warehouses

Painlessly move data in and out of any database or warehouse: fast imports of large batches plus key-based and log-based (CDC) incremental replication with automatic schema migration. Ensure data security using in-flight filtering and hashing of PII.

See it in action
Internal and niche APIs

Internal and niche APIs

Quickly build a connector for any API using the Meltano SDK: built-in error and rate limit handling plus zero-effort incremental replication. Develop, test, and iterate locally and in staging, and debug using detailed pipeline logs and alerting.

Experience the tool
Files and spreadsheets

Files and spreadsheets

Extract data from any common or custom file format, stored in S3, (S)FTP, URLs, or cloud drives – with automatic schema migration. Ensure data security using in-flight filtering and hashing of PII, and debug using detailed pipeline logs and alerting.

Experience the tool
SaaS apps and APIs

SaaS apps and APIs

Choose from the largest connector library of any EL tool, and modify or fix connector behavior without waiting for support. Ensure data security using in-flight filtering and hashing of PII, and debug using detailed pipeline logs and alerting.

See it in action

Meltano is trusted by thousands

“Compared to other data integration solutions, I like Meltano’s software development approach: the level of control you have over the pipeline and the possibility of implementing GitOps to it.“

Jose Escudero, Senior Data Engineer at ShakePay

“I love the Meltano Singer SDK, how easy it is to customize. To solve the data integration problem, you need to have a great connector strategy, and Meltano is the best one out there. It’s really fast and nimble, and much easier to write a connector strategy in Python using the Meltano framework than in anything else.”

Andrew Hansen, co-founder & CIO at Collagia

“Meltano Rocks

Oliver Laslett, Co-founder and CTO at Lightdash

“I love Meltano because it’s so pleasant to use with its DevOps and Everything-as-Code style. It is easy to set up, flexible, and integrates with pretty much any orchestrator as well as dbt.”

Martin Morset

“Incredible tool – whether you need to sync 500 or 5,000,000 rows, Meltano will perform the task with ease. If the connector you need is not already offered in the Meltano Hub, create your own in a matter of hours using the intuitive Meltano SDK.”

Stéphane Burwash, Lead DataOps at Potloc

“I *really* like the vision of the Meltano product and the open culture the community has built around it. It has encouraged me to contribute and I’m hoping to make many more contributions in the future.”

Hinnerk Gnutzmann, Founder & CEO at Flexponsive

“​​As a small team of application developers rather than data engineers, Meltano offers us a flexible and powerful platform to build data pipelines on and a supportive team and wider community that guides us on tools and best practices. But most importantly it allows us to run our data team like a product team, including all the benefits that come from that (version control, automated testing, shift-left, etc.). Most of our data integration jobs are plug-and-play, and the custom ones are straightforward to implement and easy to maintain. Meltano has taken our turnaround time for new reports from weeks to minutes.”

Julian Knight, Founder & CTO at FIXD

“As a data engineering newbie I had little clue how to start capturing tabular data into a form which could be sustainable. Meltano’s taps and targets ecosystem allowed us to pivot so easily and confidently into new technologies that we successfully began as a data warehouse project and graduated to parquet on S3 in little to no time. I cannot thank the friendly community enough for their advice not just on Meltano but the data ecosystem at large.”

Erik Peterson at En Ser.io

“Honestly, I absolutely adore Meltano so far. In two focused days with Meltano I basically reproduced what had taken us months to do in-house previously. I can’t imagine using something else for data integration at this point.“

Matt Menzenski, Senior Software Engineering Manager at PayIt

“I don’t build data pipelines anymore, I just drop a few lines in my meltano.yml. It’s awesome. The team is incredibly responsive and the community is super friendly. Meltano’s been rock-solid since pre-1.0 and they’ve been building incredibly fast. Get on board! I’ve been moving >1TB/day with Meltano for over a year now at a negligible cost; the next best alternative would’ve cost over a million or at least one FTE data engineer. It saves us at least $1M/yr and makes my job easy.”

Quinn Batten, Senior Analytics Engineer

“Meltano Has Improved Our Cycle Time Greatly By Reducing The Time To Develop And Deploy.”

Maarten van Gijssel, Senior Software Engineer at HackerOne

“Personally, once I introduced Meltano into my pipeline, I felt like the whole world of data was open, eagerly awaiting me to design new analytics features and allowing me to easily get the pertinent data into the stack.”

Jan Soubusta, Distinguished Software Engineer at GoodData

“The time-to-value with Meltano is unbelievable! I can’t even count how many “tough” data integration problems I’ve had to solve with diverse Meltano features. Almost without fail, I’ve solved each one of them in minutes. I’ve even created brand new connectors in just a few hours rather than days. It just works! And the community is easily the most quick and friendly developer community I’ve interacted with.”

Josh Lloyd, Senior Data Engineer at Acquia

“I’ve Started Playing Around With Meltano And It Is Just Incredible!”

Jacob Matson, VP of Finance & Operations at Simetric

“Meltano removes the complexity of creating, maintaining, and running data pipelines. With so many taps and targets pre-built, it feels like plug’n’play. Creating custom taps and targets is super easy with the Meltano SDK. All the managerial tasks are handled under the hood, leaving you to focus on getting or consuming the data you need.”

Andy Crowe, Senior Data Engineer, Subsplash

“Meltano’s SDK and community support has given us back hours in creating and maintaining custom connectors for various platforms. Meanwhile, the CLI based approach has allowed our analytics engineers to rapidly scale our data pipelines whilst maintaining security and robustness.”

Gary James, Senior Analytics Engineer at Beauty Pie

“Data integration in a single code base allowing us to automatically test before anything hits production is :chef-kiss:, our clients are blown away!”

Derek Visch, Founder at AutoIDM

“Meltano is a beautifully crafted masterpiece that is intuitive to use and as easy to manage as my buzz cut. If you do get stuck, the friendly and talented Meltano Community members are always there to get you moving toward your data goals again, and Melty is the cutest dragon mascot that looks cool plastered on all your stuff.”

Dan Norman, Data Warehouse Architect at Primary Care Partners

“For us it’s a better day at work when we can use Meltano.”

Nino Müller, Head of Technology at Substring

“With Meltano, we are finally in control of our data integrations. Other solutions are opaque and rigid. Meltano is made for the real world.”

Edward Ryan, Managing Partner at Ryan-Miranda Partners

“Meltano delivers on the promise of quality open-source data connectivity: it greatly simplified our path to acquiring data and the support of the community was never far away if we needed it. We partnered with Meltano to deliver an end-to-end analytics solution; our customers have been the real winners with robust, open source technology at our core.”

Aaron Phethean, Founder & CEO at Matatika

“Meltano makes it easy to pull data from nearly any data source. The Singer SDK allows me to quickly build new connectors for any platform I’m working with.”

Stephen Sciortino, Data Engineer at Brooklyn Data Co.

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