Estuary

Estuary Flow Pricing Update: More Value, Lower Costs!

New pricing structure for Estuary Flow! More Value, Lower Costs!

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At Estuary Flow, our mission is to provide a powerful and cost-effective real-time data streaming platform that meets the needs of businesses of all scales. With this in mind, we’re excited to announce a change to our pricing structure that will better serve our customers.

What’s New?

Starting September 1st, 2024, we’re lowering our pay as you go task usage pricing for better value:

  • Data Volume: Still $0.5/GB—no changes here.
  • Task Usage: A task can either be a capture or a materialization.
    • First 6 tasks: $100/month per task (prorated).
    • Additional tasks: $50/month each (prorated).

For pay as you go customers, this means lower monthly costs without any reduction in service or capability. If you’re using more than 12 tasks, please reach out to us to discuss our annual or enterprise pricing options.

Why the Change?

We’re committed to ensuring that Estuary Flow remains accessible and cost-effective as your data streaming needs grow. This update is part of our ongoing effort to provide the best value for our customers.

What Do You Need to Do?

If you’d like to take advantage of the new pricing, just contact our team at support@estuary.dev. For more detailed information, visit our FAQ, check out our Pricing Calculator, or contact us directly. We’re here to help you get the most out of Estuary Flow.

Thank you for your continued trust in us. We’re excited to keep delivering the best real-time data solutions for your business!

Stay tuned for more updates and enhancements coming your way.

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About the author

Picture of Dani Pálma
Dani Pálma

Dani is a data professional with a rich background in data engineering and real-time data platforms. At Estuary, Daniel focuses on promoting cutting-edge streaming solutions, helping to bridge the gap between technical innovation and developer adoption. With deep expertise in cloud-native and streaming technologies, Dani has successfully supported startups and enterprises in building robust data solutions.

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