Monitor the source with Fivetran observability

How can you treat a symptom without understanding its root cause? 

Think about it: if you go to the doctor with a persistent cough, and the doctor only asks you about the cough (the symptom), they might prescribe cough syrup to suppress it. Sure, you’ll feel better temporarily, but if the underlying cause is something serious, like pneumonia, you’re not actually getting better—you’re just masking the issue.

And the reverse situation is just as bad. If your doctor knows that pneumonia is going around and decides to treat you for it without even asking about your symptoms, they might treat you for the completely wrong thing.

Like a data doctor, you need to look at your data issues from all angles—including the symptoms (what’s visibly wrong in your pipeline) and the causes (the underlying issues leading to those problems). 

Connect the dots from cause to effect

That’s why we launched our Fivetran integration: so you could understand which connectors were upstream of data quality issues.

Metaplane customers love the visibility into what’s currently going on in their pipeline, but wanted more insight into their ETL metrics to answer questions about what might be causing those issues, like:

• Were fewer rows synced than expected?
• When was the last time this connector successfully ran?
• How long is Fivetran taking to sync my data?

Now, it’s possible. Our Fivetran observability now allows you to monitor connectors themselves in addition to seeing their effect on downstream tables.

By extending observability further into your ETL tools, you get right to the root cause of data incidents—with all the context you need.

ETL visibility, unlocked

Our dashboard puts connector performance front and center, so you get all the information you need at a glance. 

With a single click, you can:

• Explore how long each connector takes
• See how many rows Fivetran synced
• Check for unusual connector performance spikes
• Consolidate alerts in one place

A clear picture of your entire pipeline 

Metaplane monitors `connector duration` and `last succeeded at` (i.e. `freshness`) to show you exactly what’s happening with your data. It’s a single point of reference for tracking the health and status of Fivetran.

If a connector starts behaving abnormally and you want to learn more, simply click into that connector. You can view detailed logs that show which tables were synced, the duration of each sync, and any anomalies that occurred for any and all connectors.

All your alerts in one place

We’ll let you know when something goes wrong. If a connector’s performance falls out of its normal range (or fails entirely), Metaplane sends you a Slack alert with context.

From this alert, you can click directly into the respective table in your warehouse and specifically debug your connectors from there. Instead of correlating data from different sources, you have everything you need to quickly identify and triage issues, all in one place. 

Get started with Fivetran observability in < 5 min

Be the first to know when something is off with your data. Get started with Metaplane’s Fivetran observability in minutes.

Want to get started with Metaplane for the first time? You can create an account for free or pick a time to learn more about data observability best practices from the team.