Know compute cost of every pipeline & model in your BigQuery
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.
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.
About Masthead Data on Product Hunt
“Know compute cost of every pipeline & model in your BigQuery”
Masthead Data launched on Product Hunt on June 15th, 2023 and earned 125 upvotes and 77 comments, placing #6 on the daily leaderboard. 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.
On the analytics side, Masthead Data competes within Data & Analytics, Data and Data Science — topics that collectively have 11.6k followers on Product Hunt. The dashboard above tracks how Masthead Data performed against the three products that launched closest to it on the same day.
Who hunted Masthead Data?
Masthead Data was hunted by Yulia Tkachova. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Yulia Tkachova