{"slug":"grammarly-migrates-to-a-databricks-lakehouse-to-scale-analytics-for-30-million-users","url":"https://findausecase.com/use-cases/grammarly-migrates-to-a-databricks-lakehouse-to-scale-analytics-for-30-million-users","title":"Grammarly migrates to a Databricks lakehouse to scale analytics for 30 million users","description":"Grammarly replaced its homegrown analytics platform and always-on Amazon EMR clusters with the Databricks Data + AI Platform, using Delta Lake as the core of its lakehouse and Unity Catalog for fine-grained access control and data lineage, to consolidate 5 billion daily user-feedback events for analytics, achieving 110% faster querying at 10% of the ingestion cost of a data warehouse and cutting the time to make daily events available for analytics from 4 hours to under 15 minutes.","company":"Grammarly","industry":"Technology & Software","aiCapabilities":["Natural Language Processing","Machine Learning"],"businessFunctions":["Marketing"],"technology":["Delta Lake","Unity Catalog","Databricks SQL"],"deployment":"Public Cloud","problemStatement":"Grammarly's homegrown legacy analytics platform, built on an in-house SQL-like language, was time-intensive to learn, could not effectively ingest external data or support Tableau reporting, ran costly always-on Amazon EMR clusters, and produced data silos as teams built their own analytics tools independently.","solutionApproach":"Grammarly migrated to the Databricks Data + AI Platform, using Delta Lake as the core of a central lakehouse and Unity Catalog for fine-grained, role-based access control and end-to-end data lineage, consolidating internal product event streams with external advertising data into a single source of truth queried via Databricks SQL and visualized in Tableau.","businessValue":"Grammarly achieved 110% faster querying at 10% of the ingestion cost of a data warehouse, and cut the time to make its 5 billion daily events available for analytics from 4 hours to under 15 minutes, helping marketing, sales and customer success teams get faster, more confident insights.","evidence":{"band":"high"},"sourceUrl":"https://www.databricks.com/customers/grammarly","dates":{"publishedAt":"2026-09-29T05:46:46.336Z","publishedAtSource":"pipeline","updatedAt":"2026-09-29T05:46:46.336Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/grammarly-migrates-to-a-databricks-lakehouse-to-scale-analytics-for-30-million-users. Bulk republication requires permission."}