Aravo Solutions
Case Studies
Grammarly Enhances Communication with Databricks Lakehouse Platform
Overview
Grammarly Enhances Communication with Databricks Lakehouse PlatformAravo Solutions |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Construction & Infrastructure Education | |
Sales & Marketing Warehouse & Inventory Management | |
Construction Management Perimeter Security & Access Control | |
Data Science Services System Integration | |
Operational Impact
With the Databricks Lakehouse Platform, Grammarly's engineering teams now have a tailored, centralized platform and a consistent data source across the company. This has resulted in greater speed and efficiency and reduced costs. The lakehouse architecture has enabled low-latency data aggregation and query optimization, allowing the team to quickly receive feedback about new features and understand if they are being adopted as expected. It has also helped them understand how groups of users engage with the UX, improving the experience and ensuring features and product releases bring the most value to users. The migration to the lakehouse architecture also solved the challenge of access control over distributed file systems, while Unity Catalog enabled fine-grained, role-based access controls and real-time data lineage. This has helped Grammarly foster a data-driven culture where employees get fast access to analytics without having to write complex queries, all while maintaining Grammarly’s enterprise-grade security practices. | |
Quantitative Benefit
110% faster querying, at 10% of the cost to ingest, than a data warehouse | |
5 billion daily events available for analytics in under 15 minutes, down from 4 hours | |
Elimination of data silos, leading to more efficient data management and analysis | |