For Data Platform Teams

A data platform your whole company can build on

Serve analytics, ML, and operations teams from one control plane, on open formats you're never locked into, with compute in our cloud or yours.

Iceberg tables, plain Python: Open
or serverless, one plane: Self-hosted
logs, metrics, and alerts: One view

The Challenge

Platform teams inherit the demands of every other team: analytics wants fresh tables, ML wants compute, everyone wants their pipelines to just run. Meeting that usually means stitching together an orchestrator, storage, and observability, then maintaining the seams forever. And because the platform outlives any single tool, betting it on closed formats or a single vendor is a risk you carry for years.

How Tower Helps

Tower gives you the platform layer without the platform build: isolated environments per team, user management, and one view of every run. Data lives in an open Iceberg lakehouse and workloads are plain Python, so nothing about your platform is locked in. Run sensitive workloads on self-hosted runners in your own cloud or on-prem, use serverless compute everywhere else, and operate both from one place.

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Capabilities

What you get

Isolated environments and user management for every internal team

An open, Iceberg-based lakehouse that keeps your data in formats any engine can read

Plain, portable Python workloads with no proprietary DSLs or lock-in

Self-hosted runners to keep sensitive data in your own cloud or on-prem

Serverless compute where residency isn't a constraint, on the same control plane

Centralized observability: unified logs, metrics, and alerts across environments

Proof

In their words

Inflow supports customers with sensitive data workloads that must remain on-premises, leveraging a diverse ecosystem of data tools, including Sling Data, dbt, Pentaho, and others, to choose the best fit for each use case. Tower’s self-hosted runners allowed us to consolidate a subset of our customers into a single managed environment, providing a true single pane of glass for observability and a simple, reliable way to deploy and update pipelines.

Itamar Steinberg

CEO, Inflow Systems Ltd

Featured Reading

From Team to Enterprise

Start on the Team plan to bring your first teams onto the platform. The Enterprise plan adds multi-tenant organizations, commitment discounts, usage-based billing, and premium support. Let's scope your environments, data-residency needs, and rollout together.

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Power Your Team with Tower

Get a Python-native orchestrator of data flows and optionally use a reliable, open lakehouse built on Apache Iceberg and compatible with Snowflake, Spark, and what comes next.