You've already invested in a data engineer. Smart move—you have someone who understands your data landscape and can build pipelines. But are you getting the most value from your platform investment?

Many organizations spend €35K+ per year on "modern data stack" tools that your data engineer could replace with open-source alternatives. We help you make that transition, same capabilities, fraction of the cost.

Don't have a data engineer yet? See how you can save €100K per year →

Where your €35K per year goes

The "modern data stack" has become synonymous with expensive SaaS tools. Here's what you're likely paying today:

❌ typical enterprise stack

€1,500/month - Fivetran (data pipelines)

€350/month - Cloud Composer (Airflow orchestration)

€1,000/month - Data warehouse (Redshift/Snowflake/BigQuery)

~€35K per year

And that's before you add visualization tools, data catalogs, or quality monitoring!

✅ Mark Your Data Platform

Free - DLT for data pipelines (~5K GitHub stars)

Free - Cloud Scheduler (replaces Airflow)

~€50/month - MotherDuck (DuckDB in the cloud)

~€50/month - Cloud Run (serverless compute)

~€1,200 per year

Save €30K+ annually!

Why make the switch?

Your engineer becomes more valuable

Instead of configuring SaaS tools, your data engineer can focus on building custom solutions that directly address your business needs. Code beats configuration.

No vendor lock-in

Open-source tools mean you own your code. Switch cloud providers, modify pipelines, or extend functionality without asking permission or paying extra.

AI-assisted maintenance

Because everything is code, tools like Claude and GitHub Copilot can help maintain and extend your platform. Try that with a SaaS configuration UI.

Scale to zero

With serverless compute (Cloud Run), you only pay when pipelines run. No more paying €350/month for an Airflow cluster that sits idle 90% of the time.

Our lightweight architecture

We use battle-tested open-source tools wrapped in a scalable, cost-efficient infrastructure.

Mark Your Data analytics platform architecture diagram showing DLT, DBT, and GCP Cloud Run workflow

Key components

DLT (Data Load Tool) - Open-source data ingestion. Popular alternative to Fivetran with ~5,000 GitHub stars. Learn more in our DLT vs Fivetran comparison.
DBT (Data Build Tool) - Industry standard for data transformation with ~10,000 GitHub stars. Read our guide: Transforming Data into Insights with DBT.
MotherDuck - DuckDB in the cloud. Fraction of the cost of Snowflake or Redshift with excellent performance for analytical workloads.
Cloud Run Jobs - Serverless compute that scales to zero when not in use.
Cloud Scheduler - Simple, reliable scheduling without the overhead of managed Airflow.

How we help you migrate

We work alongside your data engineer to transition from expensive tools to our lightweight stack.

Week 1-2

Assessment

We audit your current stack, identify migration priorities, and create a detailed transition plan with your team.

Week 3-6

Migration

We help your engineer rebuild pipelines using DLT and DBT, set up the new infrastructure, and run both systems in parallel.

Week 7-8

Cutover

Once validated, we switch over to the new platform and decommission the old tools. Your engineer is fully trained and autonomous.