The PayPal Technology Blog

Everyday thousands of PayPal data scientists, analysts, and researchers use PayPal Cosmos.AI to deploy AI/ML models and solutions.

How PayPal achieved a remarkable cloud cost reduction through strategic GPU utilization

In the ever-evolving landscape of software development, productivity and efficiency have become paramount to success. Developers are…

PayPal supports over 400 million active consumers and merchants worldwide. Every minute there are several thousand payment transactions. To…

Recurring payments have become an integral part of the modern digital economy, offering convenience and predictability for both consumers…

Accepting online payments is now a universal must-have, catering to everyone from solo entrepreneurs to massive global corporations.

The world of technology is constantly evolving, and developers are at the forefront of this dynamic landscape. Staying updated on the…

In the fast-paced digital payment world, seamless integration is essential for developers aiming to embed PayPal into their applications…

How does PayPal leverage Graph Technology to combat ATO Fraud Risk

Prevent organized and repeat fraudsters by using a home-grown graph platform

Apache Kafka is an open-source distributed event streaming platform that is used for data streaming pipelines, integration, and ingestion…

Have you recently migrated your Spark application from the on-prem Yarn cluster to Dataproc? Then this blog post might help you to tune…

Braintree Payments uses PostgreSQL as its primary datastore. We rely heavily on the data safety and consistency guarantees a traditional…

Currently, PayPal is in the process of migrating its analytical workloads to Google Cloud Processing (GCP)

If your company is using GraphQL, you should get involved and invest in GraphQL’s success. See what it took to grow GraphQL to PayPal scale.