$100 Analytics using Open Source

Building an Affordable Analytics Stack with Open Source Tools and Cloud Services

In the world of data analytics, having the right tools can make all the difference. But building a robust analytics stack doesn’t have to break the bank. 

With a budget of just $100, you can leverage the power of open-source tools like Airbyte and Mage.ai, along with cloud services like DigitalOcean and Snowflake DBT Cloud, to create a powerful, cost-effective analytics stack.

Note: When we designed this Data engineering Stack DBT cloud was $50/User.

So the cost of Data Engineering pipeline was  Digital Ocean Starter server ($60)+ DBT ($50)=$110 /month


Our Client was a giant cryptocurrency company based out of Europe, the had their database in Postgres and needed to be synced to Snowflake warehouse. With few external API integrations to be implemented to enrich existing data sources.

Here’s how we developed Data Engineering Pipeline:

We had Airbyte and Mage.ai hosted on Same Digital Ocean droplet which costs around ~$60. 

We wanted to install DBT on same server, but client wanted to use DBT cloud for their comfort of usage and visibility.


Mage.ai and Airbyte on DigitalOcean Droplet

Here’s Overview of Tools:

Airbyte: https://airbyte.com/

Airbyte is an open-source data integration platform that allows you to replicate data from applications, APIs, and databases to a data warehouse. It offers pre-built connectors for many popular data sources, making it easy to collect and consolidate your data. With Airbyte, you can:

  • Connect to a wide range of data sources with minimal configuration.
  • Ensure data quality with comprehensive monitoring and alerting features.
  • Scale your data pipelines as your data volume grows.


Mage is an open-source platform designed to programmatically author, schedule, and monitor workflows. It’s a powerful tool for developing and managing complex data pipelines and automating your ETL (Extract, Transform, Load) processes. With mage.ai, you can:

  • Design complex data workflows using a simple Python script.
  • Monitor your workflows with a rich, user-friendly UI.
  • Easily retry failed tasks and backfill historical data.

    By combining these tools, you can build a powerful analytics stack that can handle all your data needs. From collecting and consolidating data with Airbyte, managing workflows with Apache Airflow, running your applications on DigitalOcean, to transforming and analyzing data with Snowflake DBT Cloud, you have everything you need to turn your data into actionable insights.

    And the best part?  You can do all this for just $100. So why wait? Start building your affordable analytics stack today and unlock the full potential of your data.

    If you have any questions Drop an email on sales@warehows.io or book a meeting with us.

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