As data volume and sources increase, data observability is critical to maintain trust in your pipelines. Like GPS, it helps data teams navigate through complex data landscapes to find troublesome traffic, risk and more on their route to data-driven decisions.

Enter: Fivetran’s partnership with data observability provider, Monte Carlo.

This integration allows you to accelerate data incident detection and resolution with data pipeline monitoring from the source to the destination, giving visibility into upstream problems before they impact downstream users and products.

Fivetran is easily one of our customers’ favorite ELT tools. This new integration will be transformative and give them the ability to detect and troubleshoot issues faster so they can reduce data downtime and tackle initiatives that move the needle for their business.

With this new integration, users can quickly understand the health of individual Fivetran connectors and identify any interruptions to regularly scheduled loads. You’ll have full visibility with automatic, column-level data lineage that incorporates warehouses, lakes, dbt, Airflow, BI tools and now Fivetran.

Our new integration allows you to visually trace an issue from a downstream reporting table to the raw table(s) loaded by Fivetran, saving valuable data engineering resources that would otherwise be spent manually sifting through queries and sampling tables.

“Earlier when we had issues related to accuracy and efficacy of our data pipelines, Monte Carlo helped us get to a place where we could have a good idea of when things might be going south upstream,” said Prasad Govekar, Director of Data Engineering, Data Science & Analytics at Backcountry.com.

“When you're leading a tight-knit data team and trying to improve data trust, understanding when data breaks is only the first step. Integrating Monte Carlo at the point of ingestion allows us to understand impact, and therefore provide greater visibility to key stakeholders. Having end-to-end lineage with Fivetran is a game changer that is helping us reduce time to detection and resolution for data incidents, and in the process, increasing trust with our stakeholders.”

This partnership signals our joint commitment to making your data more trustworthy and reliable, giving data engineers granular visibility into the health of their pipelines.

For more details about the new integration, check out Monte Carlo’s blog post here.