Pricing
User-friendly pricing with scheduling and compute available separately or in a bundle.
$20/month
Personal
1 App Creator
3 Scheduled Apps
10 Managed Apps
Includes:
Serverless Orchestrator
Observability (Logs, Metrics, Alerts)
Environments (Prod, Dev, Integration)
Serverless Compute required for data processing
Bring-Your-Own Compute and Serverless Compute available
Includes everything in Personal, plus:
Optional Bring-Your-Own-Compute
Integration with Iceberg Catalogs
Team roles and permissions
1 Team
5 App Creators
20 Scheduled Apps
100 Managed Apps
Team
$100/month
Recommended
Bring-Your-Own Compute and Serverless Compute available
Includes everything in Teams, plus:
SOC2 Type 2 reports
Premium support
Unlimited Teams
Unlimited App Creators
Unlimited Scheduled Apps
Enterprise
Custom
Extras
Can be added to any plan
1 Extra App Creator -
$20/month
1 Extra Scheduled App - $3/month
1 minute of serverless compute - 0.7 US cents
I have long suffered at the hands of both the Docker and Python ecosystems. Tower solves both. Plus, it plays nicely with scheduling, orchestration, and open table formats! If you're working with Python, you should try it.
Author of Apache Samza, Apache Airflow PMC
Bluesky
Docker for data? If you go to a docker conference you will hear "portability", "fast onboarding", "lower cognitive load", "implicit access", "microservices", "decentralisation". Who does this for data? Check out dlthub.com/blog/tower
dltHub Co-founder
Bluesky
In the age of ChatGPT, it’s no longer the lack of Python or SQL knowledge that’s holding people back from working with data, it’s the sheer pain of setting up local environments for data access. Tower’s customizable and portable Python runtime is a true game changer for data driven organizations. You can stop fixing secrets and dependencies and start creating value from data in no time.
Lead Data Scientist, Taktile
I have long suffered at the hands of both the Docker and Python ecosystems. Tower solves both. Plus, it plays nicely with scheduling, orchestration, and open table formats! If you're working with Python, you should try it.
Author of Apache Samza, Apache Airflow PMC
Bluesky
Docker for data? If you go to a docker conference you will hear "portability", "fast onboarding", "lower cognitive load", "implicit access", "microservices", "decentralisation". Who does this for data? Check out dlthub.com/blog/tower
dltHub Co-founder
Bluesky
In the age of ChatGPT, it’s no longer the lack of Python or SQL knowledge that’s holding people back from working with data, it’s the sheer pain of setting up local environments for data access. Tower’s customizable and portable Python runtime is a true game changer for data driven organizations. You can stop fixing secrets and dependencies and start creating value from data in no time.
Lead Data Scientist, Taktile
I have long suffered at the hands of both the Docker and Python ecosystems. Tower solves both. Plus, it plays nicely with scheduling, orchestration, and open table formats! If you're working with Python, you should try it.
Author of Apache Samza, Apache Airflow PMC
Bluesky
Docker for data? If you go to a docker conference you will hear "portability", "fast onboarding", "lower cognitive load", "implicit access", "microservices", "decentralisation". Who does this for data? Check out dlthub.com/blog/tower
dltHub Co-founder
Bluesky
In the age of ChatGPT, it’s no longer the lack of Python or SQL knowledge that’s holding people back from working with data, it’s the sheer pain of setting up local environments for data access. Tower’s customizable and portable Python runtime is a true game changer for data driven organizations. You can stop fixing secrets and dependencies and start creating value from data in no time.
Lead Data Scientist, Taktile
I have long suffered at the hands of both the Docker and Python ecosystems. Tower solves both. Plus, it plays nicely with scheduling, orchestration, and open table formats! If you're working with Python, you should try it.
Author of Apache Samza, Apache Airflow PMC
Bluesky
Docker for data? If you go to a docker conference you will hear "portability", "fast onboarding", "lower cognitive load", "implicit access", "microservices", "decentralisation". Who does this for data? Check out dlthub.com/blog/tower
dltHub Co-founder
Bluesky
In the age of ChatGPT, it’s no longer the lack of Python or SQL knowledge that’s holding people back from working with data, it’s the sheer pain of setting up local environments for data access. Tower’s customizable and portable Python runtime is a true game changer for data driven organizations. You can stop fixing secrets and dependencies and start creating value from data in no time.
Lead Data Scientist, Taktile
Frequently Asked Questions
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How much will I be charged on the Team Plan?
What is an App Creator?
What's the difference between Serverless Compute and Bring-Your-Own-Compute?
What's the difference between a Deployed App and a Scheduled App?
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