Metaplane has been a game-changer for our data monitoring and lineage tracking. The tool's ability to alert us when a model's monitor falls out of range has allowed us to proactively address data issues that previously would have gone unnoticed, as our dbt tests are strategically set to fail under a more stringent set of constraints and dbt alerts tend to be noisier and more difficult to preemptively define. This feature, combined with the ability to understand downstream lineage from the Metaplane UI, has significantly improved our troubleshooting process, allowing us to resolve potential data issues before our stakeholders are even aware of them.

Additionally, Metaplane's customer support and product teams have been exceptional. They are prompt, professional, and highly receptive to our suggestions for new features. In fact, they have already rolled out multiple new features and improvements based on our feedback. They provided onboarding and implementation assistance as well, which made for a successful rollout very quickly upon procuring the software.

We've particularly appreciated the ability to monitor external tables, a common method we use for loading data from S3. Additionaly, the ability to connect dbt models' downstream exposures to Tableau has been incredibly useful. And finally, the ability to define monitors via the UI or yaml in our dbt project has provided flexibility when and where we need it. Review collected by and hosted on G2.com.

While Metaplane offers a wealth of features that we find invaluable, there is one area where we believe there is room for improvement: the Tableau connector. We've been using Metaplane daily for several months now, and this is the only aspect that has not fully met our expectations. However, given Metaplane's track record of responsiveness to customer feedback, we are confident that they will continue to refine and improve this feature. Review collected by and hosted on G2.com.

1. It's extremely easy to set up and maintain. What you see is what you get--there aren't any sneaky and painful configurations to get your data flowing and the tests up and running. Because of this, we were able to get immediate value within the same week after the underlying models had some time to become familiar with our data.

2. We love that metaplane handles all of the learning! One of our biggest pain points with our old testing was that we were limited by fixed threshold tests. We were consistently getting alerted for false positives and it required extra development time to determine the correct freshness for a data source. This isn't sustainable, and I'm happy that metaplane could take it off our hands and do it better!

3. I appreciate the lineage as well. When we get alerted, it's a lot easier to see what reports and models would be impacted, which really speads up the resolution time. Review collected by and hosted on G2.com.

My only criticism is with the custom metrics. We tend to immitate the metrics that we have in our reporting, since our main use case is for analytics. But as metrics change in our reporting platform, we also have to go and update this in metaplane. It becomes pretty cumbersome to maintain. It would be nice to have tests for these types of objects, but I'm sure that adds a whole other layer of complexity. Review collected by and hosted on G2.com.

Metaplane offers a lot of pre-canned features out of the box, which make it easy to use for non-technical users. However, it's custom SQL features also make it very powerful and flexible for more technical users. The Metaplane team is quick to respond to our questions and has even prioritized features that we requested. Review collected by and hosted on G2.com.

The chief downside with Metaplane, as with any alerting tool, is the amount of noise it generates. Test sensitivity is on the stricter side by default, and some improvements could be made with factoring in seasonality. I'm looking forward to some features they have in the roadmap that should help reduce the noise. Review collected by and hosted on G2.com.

Metaplane is the data observability tool that perfectly fits our needs and it has become a game-changer for improving the quality of our data!

With few clicks, you can set up your monitors and tracking/responding to data quality issues has never been so quick and easy! You can apply some pre-defined tests and/or define some customized ones, using the custom SQL functionality. The automated detection of anomalies works very well and the Slack integration is key to keep track of all notifications and alerts in real-time.

The UI is easy to navigate and, to name one of the available features, the end-to-end lineage shows how the data flows from the data sources to the BI tool.

You can have visibility on all schema changes happening to your data models and this for us has been a great win to detect any new fields and/or any new values in them.

Lastly, another outstanding characteristic I would like to highlight is the level and quality of support you get from the Metaplane team. They listen to your needs and are always very helpful. They take into consideration your feedback and are often able to make fixes and/or develop new features based on what you shared with them. Review collected by and hosted on G2.com.

Metaplane becomes very powerful with the experience and the usage of the tool and the different features.

Even if monitors are easy to set up, you need to find out the right balance and apply only the ones that you consider useful because alerts can become very noisy at one point. Review collected by and hosted on G2.com.

With Metaplane, one can determine how fields in the database are used in tableau dashboards. The ability to inspect into the tableau dashboards avoids running into subsequent issues where database changes break the dashboards.

There are limitations, and presumably as Metaplane improves this functionality it will be better... Review collected by and hosted on G2.com.

I am specifically using for introspection into tableau dashboards. I found the Metaplane UI to be very frustrating, with limited capabilities for search, filtering, and a lot of redundant results. Am confident these issues can be addressed by Metaplane engineering (mostly UI) and would result in an excellent tool that I would give even higher marks to. I hope Metaplane engineering makes these investments. Review collected by and hosted on G2.com.

The slack alerts (including the buttons), the many different ways to track the data in a table, and the custom SQL functionality. The ability to receive and manage alerts via slack really makes my life a lot easier because I don't have to keep a metaplane tab open in my browser or navigate the website.

The snowflake usage monitoring is pretty great for keeping track of my database spend, as it is terrifyingly easy to overspend on Snowflake.

I'm also quite pleased about the schema change notifications in Slack since it allows me to be aware of basically anything that changes about my database schema.

The DBT integrations are fantastic. Anything that helps me mitigate risk during data changes is a huge help. I've been a 1-person team for the majority of my time so having metaplane looking at my data is (once again) like having part-time a QA engineer helping me out. Review collected by and hosted on G2.com.

The website can sometimes be too much trouble to navigate. Metaplane provides an enormous amount of information on the website but I generally just like to keep it simple. I'm hoping that they'll focus on improving the initial experience on the site to surface the most pertinent information first. I believe that may be in the works for the future.

I also would love to see more Slack alerting/reporting since it's my preferred way to receive alerts and - when possible - manage my environment. We've got enough tools already, without having to manage yet another. Review collected by and hosted on G2.com.

Metaplane is an easy to use Data Observability solution that works out-of-the-box. It allows users to quickly integrate all of the tools in their data stack (e.g. Snowflake, Databricks, DBT, Tableau) and ingest the metadata about the data to start developing an understanding of the patterns and trends within the ecosystem. Best of all, Metaplane doesn't ingest *your* data, per se, but rather focuses on the metadata, all of which is derived in your data systems. Review collected by and hosted on G2.com.

As with any new tool, Metaplane is still undergoing development. For many organizations, Metaplane lacks some key user management functionality like roles and permissions, as well as a few other nuance things however, the best thing about a small, nimble, company like Metaplane is that they're always willing to listen, add requests to their backlog, and get them done! Review collected by and hosted on G2.com.

Hands down the range of observability features of Metaplane, they level up your data platform by allowing you to ask questions of your data from many different perspectives.

Next up would be the seamless integrations with other components of the data stack. To name one specific feature that was recently release, 'Monitors as code'. This is a big win for the data platform in our organization to centralize the context and logic of our data transformations and observations.

Lastly, another strength of Metaplane is that the company listens to feedback and responds to it. Whether that be delivering on the feature that was originally requested or creating somerthing entirely novel to solve for the initial problem statement. Review collected by and hosted on G2.com.

We jumped into Metaplane monitors with two feet and learned that the alerts can be noisy when not used in the correct context, striking the balance between too many alerts and observability everywhere is a journey and it would be great to see more documentation from Metaplane to support this process. Review collected by and hosted on G2.com.

The ability to build customer monitors via custom SQL and eaisly integrate those monitors with Slack for alerting. I love the intregration with Slack so we can clear alerts directly within the Slack app (even within mobile). Review collected by and hosted on G2.com.

How much have you to spoon-feed the custom SQL monitors to get the results to work perfectly. It can be tedious but definitely not a deal breaker. Deeper investigation into the who/what is driving an alert is something this doesn't immediately solve for. Review collected by and hosted on G2.com.

It informs us about issues with our data in real time so that we can address the problem as quickly as possible. Review collected by and hosted on G2.com.

There can be notifications that have too much detail and create some noise in our communication channels. Review collected by and hosted on G2.com.