Masthead Data

Know compute cost of every pipeline & model in your BigQuery

5.0
5 reviews

388 followers

Masthead Data helps data engineers see anomalies and pipeline errors in real time, without ever accessing or reading your data. Trace all data flows with column-level lineage and functionality that helps you optimize cloud compute for your data pipelines.
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Yulia Tkachova
Hi all! I'm Yuliia Tkachova, CEO and co-founder of Masthead Data, and I'm thrilled to introduce my very first Product Hunt launch - Masthead Cost Insights for pipelines and models running in your Google Cloud project. 🚀 What sets us apart? We don't read or query your data at any point. Masthead solely ingests cloud-native logs and metadata, ensuring compliance with all data privacy and security regulations at the architectural level. 📝 Do you know how much it costs to run dbt, Fivetran, Dataform or custom pipelines in your Google Cloud project? 🧾📈 Masthead provides you with insights into the cost of running all your pipelines/jobs/models regardless of ETL used 🤖. We showcase the cost of running it once and within a specific time frame, as well as the total cost of your cloud computing when using ETL solutions. 💸 To achieve this, Masthead only ingests cloud-native logs and metadata, ensuring that there are no risks to your actual data since we never execute a single query on it. Additionally, we have embedded AI functionality that helps optimize queries or models, allowing your team to shine. ✨💎 More about Masthead Data: Masthead Data is a data observability solution, similar to DataDog or NewRelic for software engineers. We don't query your data to provide you with: 1️⃣ Freshness and volume for all time series tables in your Google BigQuery 2️⃣ Schema changes 3️⃣ Detection of any pipeline malfunctions 4️⃣ Column-level lineage Masthead doesn’t increase your cloud cost, and can be deployed in just 2 clicks through Google OAuth or manually by creating resources (similar to any BI tool). Try Masthead free for 14 days. I'll be here in the comments and would be delighted to chat with you about data, data privacy, cloud costs, and beyond. Cheers, Yuliia & the incredible Masthead Data team! P.S. This wouldn't be possible without @austingunter support.
Serhii Sokolenko
@yulia_tkachova If you are a data engineer, you know that at some point your business users will question the quality of your data. Wouldn't it be nice to have the tools to proactively monitor and improve it? And do it in a non-intrusive way, without requiring access to data and exposing yourself to data privacy liabilities. Like what Yulia and the Masthead team are doing in this space!
Yulia Tkachova
@serhii_sokolenko that is so flattering to hear <3. Given your hands-on experience building Modern Data Stack, that make is it even more valuable!!!
Shanhui Bono
Masthead has saved me so much time. - Its precise monitoring over BQ gives me exactly the query I need when dbt transformation jobs hang. And pushing the bug to Jira was just a few clicks. - Its column level lineage makes finding a field out of thousands of tables super easy. - Its compute cost analysis shows us how much each service/query costs intuitively, which gives query optimization a head start. More importantly, its built on top of GCP logs so no customer data is queried at all, which is HUGE for security and HIPAA compliance.
Yulia Tkachova
@shanhui_bono thank you! That is a very precious feedback to us, and we absolutely love working with you and dealing with all your data issues ;-)
Sergii Tkachov
@shanhui_bono thank you for your feedback! Happy to work with you!
✏Austin W. Gunter
While everyone is running towards building their own LLMs, Masthead Data is supporting innovators, ensuring that data pipelines are running economically (and pointing out how to fix the ones that aren't), all without having to read or query sensitive data. It's an exciting time to be part of the data space, and Masthead is leading the way.
Yulia Tkachova
@austingunter thank you, Austin!
Sergii Tkachov
@austingunter thank you!
Kirill Demidov
I have been working with the Masthead for over 6 months now and I can say that I have never seen such a product in the GCP environment which allows you to monitor over 30,000 tables and views, including looker reports. For me the main sign of quality and usefulness is the moment when using a certain product becomes a daily routine - so in the case of Masthead checking incidents reports is a mandatory morning and evening ritual for me, which allows me to look at our huge ecosystem in Bigquery. In addition, Masthead has a data catalog related functionality that GCP DataPlex doesn't have - column level lineage in tables - which is exactly what we as data engineers and data analysts have been missing.
Yulia Tkachova
@kirill_demidov Gosh, Kir! You just made my day. Your comment is worth the whole Product Hunt campaign launch. <3
Sergii Tkachov
@kirill_demidov thank you for the feedback! We are very excited to work with you!
Yulia Tkachova
Hey, here is our teaser video https://youtu.be/5BD5LzgjhAs
Juliana Jackson
Congrats on the launch! A lot of companies can benefit from Cost Insights!!!
Yulia Tkachova
@iuliana_jackson that is true, tacking controls over the spends is an essential step ;)
Sergii Tkachov
@iuliana_jackson thank you! We are happy to help companies to save more!
Jacek Migdal
It's straightforward to overspend on BigQuery. Glad you are increasing the visibility.
Yulia Tkachova
@jakozaur Thank you, Jacek! That is so true ^^^
Sergii Tkachov
@jakozaur thank you! Definitely, BigQuery is on the top line in the cloud bill! We created Masthead to pinpoint which model/pipeline is raising stakes. Once a costly SQL query is detected - our users can significantly decrease their spending!
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