Mark Peck

Summer - The first end to end DuckDB powered data stack

Summer is the first end to end DuckDB powered data stack. Onboarding users now, join us and love your data stack!

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Mike Godsey

Hello Hunters! -- I'm Mike, one of the founders of Summer.


We love data. We don't love the price gouging, endless tooling, and complicated integration work it takes to get a simple data stack up and running. We bet you don't either, and thats why we built Summer.


We're on a mission to make data a pleasure.


With Summer, you get:

🚅 Built in ETL. No extra charge, fifty connectors available today, hundreds more in the works.

🕵🏻‍♂️ Blazing fast DuckDB powered warehouse.

📊 Full analytics suite included. No seat restrictions, bring as many team members as you want.

🤖 AI assistant to help craft queries and charts if your SQL is a little rusty.

🎁 Comprehensive permissioning so you can easily share queries, dashboards, or even raw tables with whoever needs to see them.


We're just getting started and there's more to come.

Rohan Gayen

Can you explain in more layman terms? What is meant by data stack? What is the use case for this?

Mike Godsey

@admiralrohan definitely! By data stack we mean all the tools your business needs to analyze the data their business creates. The core layers are:

  • ETL (extract, transform, load) - allows you to pipe data from your source to Summer, i.e. Stripe to Summer or Google Analytics to Summer

  • Warehouse - this is where your data is securely stored and organized, it is also the Query engine that allows you to analyze your data

  • Analytics - these tools allow you to write Queries, build Charts, and create Dashboards so that you can analyze your data, visualize your data, and share/collaborate on the analysis with your team

The core use case we are targeting is, a business (likely technology/application space) who needs a data stack so that they can analyze data from their entire business to make decisions about their products and/or services.

Hope this helps, thanks for the question. Here's a doc on our site that goes a little deeper, please let us know if you have any other questions.

Rohan Gayen

@summermike Thanks. Got it.

Andrew Jameson

DuckDB-powered stack sounds promising! How does it compare to traditional data warehouses?

Mike Godsey

@andrew_jameson111 the biggest difference at the Warehouse layer is because DuckDB is so powerful and lightweight our Warehouse is truly ephemeral and requires no management by our users. You can control the access for every Dataset or Table but you don't have to choose deployment sizes or commit to certain levels of throughput.

Hazel Mathew

Been waiting for something like this. The end to end setup using DuckDB feels modern and lightweight big fan of keeping things simple and fast.

Mike Godsey

@hazel_mathew Thanks Hazel, can't wait to hear your feedback once you start using it!

Mike Dick

I've known the team behind Summer for awhile and they're world-class .... Our team at Agree.com is excited to finally get early access. We're making the switch ASAP!

Manu Goel
Launching soon!

That's a big list of connectors you are stacking up in your roadmap.

Mike Godsey

@manu_goel2 any you're specifically interested in??