Mitzu

Mitzu

Warehouse-native customer analytics for your SaaS

5.0
1 review

534 followers

Mitzu is a warehouse-native product, marketing, and subscription analytics platform for SaaS businesses. Move your data into your data warehouse, connect Mitzu, and start making better decisions. Mitzu has seat-based pricing and never copies your data.
Interactive
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Free Options
Launch Team / Built With
Intercom
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Startups get 90% off Intercom + 1 year of Fin AI Agent free
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What do you think? …

István Mészáros
🎉 Hey Product Hunt! 🎉 I'm Istvan, founder and CEO of Mitzu, and I'm beyond excited to share Mitzu with all of you today! 🚀 Over the past 12 months, we've been crafting a warehouse-native customer analytics and business intelligence tool that will change how teams interact with their data. As someone knee-deep in dashboards and SQL queries, I realized the need for something faster, more intuitive, and deeply integrated with modern data stacks. Our goal? To make analytics seamless for everyone, from data pros to business users. It's built to take full advantage of your warehouse, meaning you get faster insights without writing a single line of SQL or data plumbing. Mitzu is a no-AI tool. Although, we might add features in the future. 🏃‍♂️To get started, it is straightforward: 1️⃣ Move your first and third-party data to a data warehouse with any tool. (Our current customers use either Segment, Rudderstack, Jitsu, Snowplow or in-house solutions). Alternatively, it works on top of any modeled event data. You can use DBT or any other modeling solution. 2️⃣ Connect Mitzu to the raw datasets in your data warehouse 3️⃣ Create your first chart! 🚀 📦 We currently support 8 cloud data warehouses: - BigQuery - Clickhouse - Snowflake - Databricks - Trino - AWS Athena - Redshift 📈 We support the following insight types: - User segmentation analytics - Product journeys for users - Marketing campaign conversion rates - Recurring revenue calculation - Retention rates - and many more insight types and more are coming 👫 Companies using Mitzu typically have a tiny or no data team. We're here because we believe in the power of community feedback. As we continue to grow, we would love to hear your thoughts, ideas, and suggestions. I'm super grateful for all the support so far, and I'm excited to hear what you all think! Feel free to ask me anything. I'll be around! 🙌
István Mészáros
@dfeles Thank you Daniel, Nothing against AI though. We might bring it on as well in the future.
Julianna Göbölös-Szabó
We use Mitzu at my company. I am the single data person in the whole marketing department and Mitzu makes my life so much easier as not-so-technical stakeholders can create their own insights, dashboards easily without coding . I would also emphasise how much Mitzo founders care about the customers, we get instant replies to our questions or bug reports. If you are a company with small or no data team, Mitzu can be a lifesaver.
István Mészáros
@julianna_gobolos_szabo Thank you Julianna, it is great to have you as a customer :). I always like working with you :)
Matic Uzmah
Really impressed with how easy Mitzu makes tracking key metrics. Great for teams looking to scale efficiently!
István Mészáros
@matic_uzmah1 Thank you so much Matic for hunting for us. :) Without you it would have been hard to get through the finish line.
Ivan Santini
Mitzu and the Mitzu team have been amazing partners for us at Prezi. We were able to unlock Product Analytics for the entire company once again, but with several added and invaluable benefits. Mitzu helped us become more transparent, reliable, and consistent, while also achieving feature parity—and beyond—with our previously adopted solution. Collaborating with the Mitzu team has been one of the best experiences for our Data team. Not only do we 'speak the same language' and know they can help us tackle our self-service goals, but we also actively collaborate to improve the product itself, solving increasingly complex data use cases together.
István Mészáros
@ivan_santini This warms my heart, Ivan. I really like to work with Prezi :). Prezi is one of our biggest customers, and with an enormous amount of data, I am happy with the challenge you gave us. We had to tweak our SQL generation engine multiple times to accommodate your volume of data. But this helped us with many other customers.
Bálint Tóth
We use Mitzu at Colossyan for almost 2 years, mostly for finding quick insight about funnels and retention and we can easily find users behaviour patterns with it as well. From R&D to GTM teams everyone uses Mitzu - for different purposes - and it's one of the most important tool in our self-serve analytics stack.
István Mészáros
@iambalint Hi Balint, Colossyan is our favorite customer :). I love the product that you are building. It is very inspiring. Also I am happy that you give us constant feedback and feature requests :)
Tamás Kocsis
Mitzu quickly became our go-to tool at Colossyan. It takes the guesswork out of making product decisions. It's truly unique to have subscription analytics and subscription data in the same place. And on top of that, it comes with an easy-to-use interface with data already pre-validated by our data team. Can't wait to see what they come up with next!
István Mészáros
@t0mka Thank you Tomka! I hope you can tell me what to come up with next :). Although I already know, your needs. I have a separate file on my computer, where I collect your feedback only :)
Aliaksandra Lamachenka
This is fascinating, Istvan! I remember when you were driving internal analytics at Skyscanner, and it’s awesome to see your vision turn into a full product. Wishing you all the best — so inspiring!
István Mészáros
@aliaksandralamachenka Thank you so much! I think one of the first versions you may have used back then. We called it Foxpanel :) .
Aliaksandra Lamachenka
@istvanmeszaros88 YES! Exactly! :D Gosh, I love it so much
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