Automatically track warehouse table volume and freshness, get suggestions for deeper monitoring on your most used data, and understand warehouse spend—with Metaplane's new monitoring platform you can ensure trust in your most critical data in 15 minutes.
We're so excited to announce the next evolution in data observability here on PH today!
Metaplane began its journey as an observability tool for data teams who wanted to be the first to know about data quality issues. Hundreds of teams like those at Reforge, Sigma, Sotheby's, and Honeywell use every day to ensure data can be trusted in their organizations. We've stood by our mission to alert data teams before they’re caught off-guard by a broken dashboard or an executive's urgent message.
Today, we’re presenting not just a feature, but what we think is the next evolution in data observability. Traditionally, tools in this space required a significant time investment to determine what should be monitored, and then set up each individual test. We're flipping the script — using inherent usage and lineage data to automatically suggest what should be monitored, while auto-tracking as much table row count and freshness metrics as possible, too.
What's exciting now and in the pipeline?
- Auto-tracked metrics like table row counts and freshness, ensuring your data is always up-to-date and accurate.
- Suggested monitors that take the guesswork out of what you should be keeping an eye on.
- A keen eye on your Snowflake spend, so you always know where your money's going.
- And our grand vision: an observability tool where anything that should be monitored will be monitored. While we're sharing a taste of this now, with a lot more coming soon down the pipeline :)
As a technical team, we've always taken a self-serve, ease of setup approach to data observability, but with Metaplane's latest iteration, it's not just easy—it feels magical. We take as much of the work out of monitoring as possible, so that it doesn't have to be a quarterly objective. You can add the world's most powerful data observability to your stack in under an hour.
We've been testing this with our customers for the past couple of weeks and the feedback has been great, but I'm eager to hear from the PH community. Do you run into data quality issues? How do you find out about them today? If you could spend an hour to ensure that your data could be trusted — would you? Let me know what you think!
Read more about this Metaplane launch here: https://www.metaplane.dev/blog/l...
What does your typical user look like? We use google analytics for observability atm. But trying to learn more of what's out there. We have about 100 data points to track and expect 11m users in a year. With about 50 interactions per user per day.
Thrilled about the launch! Particularly the monitor suggestions. Tailored, smart suggestions based off lineage and usage make setting up a breeze and ensures nothing important goes unnoticed.
The first week after this broader release, I was on a call with a customer that found a table being used by a dozen analysts that they didn't know about; a table they weren't keeping track of and monitoring. Metaplane showed them not only exactly what it was being used for but also let them see that the data in that table hadn't been updated in almost 6 months. The data team was immediately able to message the group of analysts on slack to support their use cases/queries. It's major!
Love it! Metaplane is my secret weapon of finding out about issues before anyone else.
It's been amazing to see the impact the new platform has had on customers. They're more informed than ever about the state of their data, and everyone loves using the new montioring UI, both for its functionality/clarity and for its polish. The team really outdid themselves with this one. Onward and upward!
Congratulations on the launch. Good work! 'Auto'-anything is great! .... Auto-tracked metrics + automated lineage. Can you elaborate more on how the lineage works differently to the prior version?
Congrats on the launch! 🚀 Super cool to see the spend monitoring for Snowflake as a part of this release. Based on this, do you also give recommendations how I can optimize my cloud spend?
About Data Observability v2 by Metaplane on Product Hunt
“Intelligent auto-monitoring for your data warehouse”
Data Observability v2 by Metaplane launched on Product Hunt on August 8th, 2023 and earned 109 upvotes and 23 comments, placing #16 on the daily leaderboard. Automatically track warehouse table volume and freshness, get suggestions for deeper monitoring on your most used data, and understand warehouse spend—with Metaplane's new monitoring platform you can ensure trust in your most critical data in 15 minutes.
Data Observability v2 by Metaplane was featured in Analytics (171.5k followers), Developer Tools (511.4k followers) and Data & Analytics (5.6k followers) on Product Hunt. Together, these topics include over 83.4k products, making this a competitive space to launch in.
Who hunted Data Observability v2 by Metaplane?
Data Observability v2 by Metaplane was hunted by Guru Mahendran. 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.
Reviews
Data Observability v2 by Metaplane has received 2 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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