Shutterfly brings scalability and user experience into focus with MongoDB Atlas on AWS


“In the relational database world, you build your schema, then you build your queries based on the schema, but you're restricted to how your schema is set up, and there is no fast, easy, or cost-effective way to change that.”
Oleg Joukov
Principal Database Engineer, Shutterfly
Principal Database Engineer, Shutterfly

“We switched over to Atlas in minutes, migrating our multi-terabyte dataset with minimal downtime.”
Oleg Joukov
Principal Database Engineer, Shutterfly
Principal Database Engineer, Shutterfly

“We can spin up new environments quickly if there is a new project coming up that requires more resources. If we want to clone our environment, in the past it was all manual processes. Nowadays, with Atlas, it is very easy and saves lots of effort and time.”
Oleg Joukov
Principal Database Engineer, Shutterfly
Principal Database Engineer, Shutterfly

“One of our future projects is using multi-tenant environments to provide services to different partners. MongoDB Atlas is engineered to run on multiple cloud providers, so we can fulfill that requirement easily.”
Oleg Joukov
Principal Database Engineer, Shutterfly
Principal Database Engineer, Shutterfly
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