Metaplane Partners with Snowflake to Ensure Trust in Data

Today we’re delighted to announce that Metaplane has joined the Snowflake Partner Network.

Our partnership started earlier this year when we built the first data observability native Snowflake app. With joint customers like SpotOn, Imperfect Foods, Mux, Drift, Reforge, and Weedmaps, which come from verticals spanning B2B SaaS, ecommerce, and financial services, we believed there was an opportunity to strengthen our existing partnership—a feeling that was shared by the Snowflake team. 

❄️Snowflake is delighted to have Metaplane join the Snowflake Partner Network. They are the first Data Observability platform on our Native Application Marketplace.

Their mission to empower data teams of all sizes with superior data quality aligns perfectly to Snowflake customer needs, making them an important addition to our partner ecosystem

— Andrew Helgeson, Snowflake Sr. Alliance Manager

How Snowflake Enabled Data Observability

Data quality issues have existed for as long as people have used data. From punch cards to the first relational databases to the modern data stack, data practitioners have been tasked not only with ingesting, storing, transforming, and using data, but also ensuring its quality. 

At the same time, data technologies have always presented a tradeoff between quality and performance. For example, SQL scripts on Vertica necessarily cut into precious analytical workloads—that is, until Snowflake entered the scene.

Without Snowflake's MPP architecture, continuous data monitoring would not be computationally feasible. Nor would it be financially feasible without the separation of storage and computation. 

Using these core innovations, as well as the support for rich metadata, easily queryable usage history, and advanced statistical/analytical aggregate functions, Snowflake has provided the technical foundation to turn data observability from a dream into a reality.

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Metaplane and Snowflake

Snowflake has made it easier than ever for data teams to serve use cases like business intelligence, machine learning, and operationalization. But with data lying at the core of these use cases, the stakes for poor data quality are raised higher than ever.

Using Metaplane together with Snowflake, data teams can power critical use cases with confidence. Not only will they be alerted to data anomalies, but they will have the context to diagnose downstream impact and analyze upstream root cause.

Ensuring trust in data is an important and ongoing journey that can start today. As with category-defining tools like dbt, Looker, and Fivetran, Snowflake customers can get started with Metaplane within minutes. Together, we aim to help every data team be the first to know about any data quality issue.

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