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Myntra provides hassle-free, personalized shopping experiences with Databricks
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Description
Indian fashion e-commerce platform Myntra rebuilt its data architecture on Databricks Delta Lake with a medallion architecture to unify batch and streaming processing for real-time ML-driven recommendations, cutting infrastructure costs by 35% and improving real-time pipeline performance by 25%.
…experience. By consolidating data on Delta Lake and optimizing storage, Myntra reduced overall infrastructure costs by 35%, enhancing their ability to scale cost-effectively. Myntra’s real-time data pipelines have also seen a 25% performance improvement…
Company
Myntra
…% Reduction in overall data infrastructure costs 25% Faster real-time pipelines Myntra, part of the Flipkart Group, is one of India’s leading fashion e-commerce platforms for fashion, beauty and lifestyle brands, offering over 3.5 million styles from…
Country
India
…ts 25% Faster real-time pipelines Myntra, part of the Flipkart Group, is one of India’s leading fashion e-commerce platforms for fashion, beauty and lifestyle brands, offering over 3.5 million styles from…
Industry
Retail
…ing new use cases regularly for consistent innovation.” Share this post Details Industry : Retail and Consumer Goods Use Case : Artificial Intelligence , Data Science , Data Engineering Cloud : Az…
Problem
Myntra's legacy data warehouse suffered from asynchronous file locking that caused frequent failures and required multiple retries in Spark jobs, leading to duplicate sources of truth, high maintenance costs and an inability to handle growing data volumes at scale.
…ring, the company’s data warehouse experienced significant performance issues. “We were dealing with asynchronous file locking, which caused frequent failures and required multiple retries in our Spark jobs,” Ram explained, highlighting the barriers to insights in their old system. Myn…
Solution
Myntra revamped its architecture on the Databricks Data + AI Platform, implementing Delta Lake with a medallion (Bronze/Silver/Gold) architecture and a Kappa-based design that unified batch and streaming processing across compute engines.
…ss integration of batch and streaming data processing. Implementing Delta Lake, Myntra adopted a medallion architecture comprising Bronze, Silver and Gold layers, systematically refining raw data for better management and analytics. Delta Lake centralizes semantics between batch and streaming operations, simpli…
Business value
The new platform reduced overall data infrastructure costs by 35%, improved real-time pipeline performance by 25%, and delivered faster, more personalized customer recommendations that enhanced engagement and conversion rates for Myntra's 70 million monthly active users.
…infrastructure costs by 35%, enhancing their ability to scale cost-effectively. Myntra’s real-time data pipelines have also seen a 25% performance improvement — translating into faster, more personalized customer recommendations, enhancing engagement and conversion rates. By standardizing on the Delta Lake format, Myntra also improved data governance…
AI capabilities
Recommendation & Personalization, Machine Learning
…nalytics and AI while enhancing scalability, efficiency and cost-effectiveness. Now, they can build real-time data pipelines that feed machine learning models that deliver a superior pre- and post-shopping experience. The need for the legacy data architecture to evolve to keep up with business gr…
Technology
Databricks Data + AI Platform, Delta Lake
…s, Myntra achieved seamless integration of batch and streaming data processing. Implementing Delta Lake, Myntra adopted a medallion architecture comprising Bronze, Silver and Gold layers, systematically refining raw data for better management and analytics. Delta La…
Headline outcome
…ories / Myntra CUSTOMER STORY Connecting people with brands that bring them joy 35% Reduction in overall data infrastructure costs 25% Faster real-time pipelines Myntra, part of the Flipkart Group, is one of In…
Use case type
Personalisation
…they can build real-time data pipelines that feed machine learning models that deliver a superior pre- and post-shopping experience. The need for the legacy data architecture to evolve to keep up with business g…
Capture details
- Captured
- 09 Sept 2026, 06:07 UTC
- Extractor
- fetch-strip@1
- Snapshot hash
- 9a78d4f834f28e8f6614430fc5cbd49277c732e9c9d7afc22dc354bcf1a01986