Yogesh has spent two decades leading distributed data products. First with VMWare GemFire (acquired by VMWare; now Apache Geode), where he helped architect and lead the direction of a first-of-its-kind distributed in-memory data grid for highly concurrent and low latency apps. Later within VMWare/Pivotal, he integrated the technology with the Spring framework, virtualization, and CloudFoundry, growing its footprint to hundreds of customers. As part of the leadership team within Pivotal, he helped define the vision for a new unified data fabric – a unified clustered platform that brought stream processing, transactions and analytics together to eliminate the Lambda architecture complexity and deliver Google-like speeds for complex analytic queries. This became the foundation for SnappyData, where he was the seed PM since company's incubation. At SnappyData, he worked on hybrid translytical processing in distributed memory using techniques like vectorization using spark’s catalyst engine and approximate query processing. Most recently, he leads the Database PM team at Yugabyte.

Yogesh Mahajan presents 1 Event:

• Analyzing PostgreSQL Compatibility: Amazon Aurora, Spanner, YugabyteDB and CockroachDB at Silicon Valley 2022