Metaplane ensures everyone trusts the data that powers your business. Data teams at Bose, ClickUp, and Klaviyo use our data observability platform to prevent and detect data issues — before the CEO pings them about weird revenue numbers.
We do this with ML-based anomaly detection, end-to-end column-level lineage, and tools to help prevent incidents before they occur. You can monitor your entire data stack within 30 minutes.
Intelligent auto-monitoring for your data warehouse
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...
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?
Great question @johannes_pittgens and definitely where we're being pulled :). Look forward to more on this soon! We currently solve for the most urgent problem: knowing that a spend spike is occurring and having visibility into where that is coming from
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!
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?
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