Case Study: Grammarly achieves scalable, secure AI analytics with Databricks

Helping 30 million people and 50,000 teams communicate more effectively

Grammarly, the AI-powered writing assistant used by 30 million people and 50,000 teams, needed a faster, more scalable, and more secure way to analyze growing data volumes. Its legacy in-house analytics system made it difficult and costly to work with large datasets, and the company wanted stronger control over its own data. Grammarly chose Databricks and the Databricks Data Intelligence Platform to replace its homegrown setup.

With Databricks, Grammarly built a unified lakehouse architecture using Delta Lake, Databricks SQL, Tableau integrations, and Unity Catalog for governance and lineage. This gave teams a single source of truth, eliminated data silos, improved analytics and ML workflows, and accelerated decision-making. The result is a flexible, scalable, highly secure platform that helps Grammarly analyze marketing and product data more effectively while keeping company data inside Grammarly.

Grammarly

Chris Locklin

Engineering Manager, Data Platforms