Proof Points

Question 1

Helvetia Swiss Insurance Group

LEMM
(Love Eating MarshMellows)

Answer 1

Frame up: Largest Swiss insurance company, serves over 7 million customers

Situation: Numerous data silos. Elasticsearch was bolted on DocumentDB. Struggled with scaling. Needed a customer 360 real time view

Solution: Migrated to MongoDB Atlas, using Atlas Search.

Outcome: Accelerated cloud native modernization by 90%, increasing release cycles, and giving Helvetia a much simpler architecture.

Question 2

Albertsons

GPSS
(Grocery Promotion Salad Search)

Answer 2

Frameup: Largest retail grocery chain in the United States. 35 million customers per week.

Situation: operating at this scale presented challenges for personalizing the experience for customers.

Solution: Integrating the database, search engine into a single unified fully managed platform.

Outcome: Eliminated a search engine, and simplified their architecture. Delivering 500,000 promotions at any given time to millions of their end users.

Question 3

Delivery Hero

DSAP

Answer 3

Frame Up: World’s leading local delivery platform in Germany, serving 2.2 Billion Customers.

Situation: Scaling Challenges. The app has a low-latency API to access product information for 100 million items, and handle 10,000 requests per second. Needs to handle 30 milliseconds of latency.

Solution: Atlas -with its flexible database and indexing capabilities that could handle various access patterns.

Outcome: This means more than 100 million products searchable without latency issues.