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Title
Grammarly migrates to a Databricks lakehouse to scale analytics for 30 million users
…able to sustain a flexible, scalable and highly secure analytics platform that helps 30 million people and 50,000 teams worldwide write more effectively every day. Harnessing data to improve communications for millions of users and thousands…
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.
…in order to scale and improve data storage and query capabilities. As it stood, large Amazon EMR clusters ran 24/7 and drove up costs. With the various data sources, the team also needed to maintain access control…
Company
Grammarly
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / Grammarly CUSTOMER STORY Helping 30 million people and 50,000 teams communicate more effe…
Industry
Technology & Software
…rs down to under 15 minutes for 5 billion daily events. Share this post Details Industry : Marketing , Technology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bric…
Problem
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.
…h app-created events, which total about 5 billion events per day. Historically, Grammarly relied on a homegrown legacy analytics platform and leveraged an in-house SQL-like language that was time-intensive to learn and made it challenging to onboard new hires. As the company grew, Grammarly data analysts found that the platform did not s…
Solution
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.
…Grammarly leverage Delta Lake and the Databricks Platform for data management? Grammarly uses Delta Lake as the central core of its lakehouse architecture to consolidate internal product event streams with external advertising data, establishing a unified source of truth for all data producers and consumers. How does Grammarly ensure data security and governance using Unity Catalog? Gra…
Technology
Delta Lake, Unity Catalog, Databricks SQL
…hnology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Analytics augmentation
…all data producers and consumers across Grammarly, with Delta Lake at the core. Using the lakehouse architecture, data analysts within Grammarly now have a consolidated interface for analytics, which leads to a single source of truth and confidence in the accuracy and ava…
Headline outcome
…R STORY Helping 30 million people and 50,000 teams communicate more effectively 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 Grammarly’s…
Business value
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.
…d to 110% faster querying, at 10% of the cost to ingest, than a data warehouse. Grammarly can now make its 5 billion daily events available for analytics in under 15 minutes rather than 4 hours, enabling low-latency data aggregation and query optimization. This allows the…
AI capabilities
Natural Language Processing, Machine Learning
…r correctness, clarity and conciseness, word choice, style, and tone. Grammarly receives feedback when users accept, reject or ignore its suggestions through app-created events, which total about 5 billion events per day. Historically, Grammarly relied on…
Business functions
Marketing
…y’s business can now analyze data more thoroughly and effectively. For example, Grammarly’s marketing team uses advertising to attract new business. Using Databricks, the team can consolidate data from various sources to extrapo…
Deployment options
cloud
…keting , Technology and Software Use Case : Data Warehousing , Data Engineering Cloud : AWS Product : Agent Bricks , Databricks SQL , Delta Lake , Unity Catalog Ready to g…
