SOLUTION

Run Data Pipelines

What It Is

Tower provides a secure, reliable platform to run extraction, loading, and transformation pipelines. Set schedules, define control flows in code, understand dependencies with the Flow Visualizer, and apply software engineering best practices with version control and environments. Run workloads on Tower-managed cloud compute or on self-hosted runners for full control.

Who It's For

Teams in data-driven industries such as AI-based services, manufacturing, and e-Commerce. Ideal for organizations running many ELT, ETL or batch inference pipelines with a Python-first stack, including dltHub, Sling Data, and transformation libraries like Polars or Apache DataFusion.

PARTNER HIGHLIGHT

A Python-first Experience for Data Teams

Tower provides a secure, reliable platform to run extraction, loading, and transformation pipelines. Set schedules, define control flows in code, understand dependencies with the Flow Visualizer, and apply software engineering best practices with version control and environments. Run workloads on Tower-managed cloud compute or on self-hosted runners for full control.

dltHub and Tower partner on delivering data movement and transformation. Tower’s data compute infrastructure is tightly integrated with dltHub’s pipelines and notebooks. Users get an end-to-end solution and don’t have to waste time on integrations.

Matthaus Krzykowski

Co-Founder & CEO, dltHub

dltHub and Tower partner on delivering data movement and transformation. Tower’s data compute infrastructure is tightly integrated with dltHub’s pipelines and notebooks. Users get an end-to-end solution and don’t have to waste time on integrations.

Matthaus Krzykowski

Co-Founder & CEO, dltHub

dltHub and Tower partner on delivering data movement and transformation. Tower’s data compute infrastructure is tightly integrated with dltHub’s pipelines and notebooks. Users get an end-to-end solution and don’t have to waste time on integrations.

Matthaus Krzykowski

Co-Founder & CEO, dltHub

CUSTOMER HIGHLIGHT

Scaling data collaboration with Python

Taktile, a leading decision intelligence platform for FinTechs, runs a Snowflake data warehouse and ingests data from many sources using dltHub. By combining dltHub with Tower, Taktile enabled anyone with basic Python skills to contribute high-quality data pipelines. Tower simplified collaboration with shared environments, secrets, and dependencies, and provided a portable Python runtime from local development to production—scaling impact far beyond a small data engineering team.

The 10x Data Team at Taktile, enabled by Tower and dltHub:

Tower’s customizable and portable Python runtime is a true game changer for data driven organizations.

Simon Rosenberger

Enterprise AI Lead, Taktile

Tower’s customizable and portable Python runtime is a true game changer for data driven organizations.

Simon Rosenberger

Enterprise AI Lead, Taktile

Tower’s customizable and portable Python runtime is a true game changer for data driven organizations.

Simon Rosenberger

Enterprise AI Lead, Taktile

SHOWCASE

Run These Examples on Tower

Run a straightforward example of importing CSV formatted data from S3 into a Snowflake data warehouse.

Import JSON-formatted data into a Snowflake data warehouse using Sling Data.

Bundle of connected Tower apps demonstrating ELT data pipelines, Iceberg-based lakehouse with medallion architecture, end-user facing notebooks, and AI-based analytics.

Power Your Team with Tower

Tower gives you a reliable, open lakehouse built on Apache Iceberg and compatible
with Snowflake, Spark, and what comes next.

Tower gives you a reliable, open lakehouse built on Apache Iceberg and compatible with Snowflake, Spark, and what comes next.