
Before TigerGraph’s public launch, Yu Xu spent five years building a database designed to follow connections at scale. His journey runs from a payroll system in Hunan to Twitter, TigerGraph and a new chapter at Databricks.

From Sisense to Firebolt, Eldad Farkash has kept returning to the gap between having data and getting an answer. His career is a study in what changes when the waiting ends.

A childhood pleasure in checking a maths answer runs through Anshu Avinash’s work at DevRev. His path from databases to AI search now includes a second pursuit: writing about what happens when machines can answer, but people still have to understand.

For more than four decades, the Michigan technologist has steered Scientel from supply-chain software to big-data databases and private AI systems. His career is a study in refusing to let a durable company become a museum piece.

From five-o'clock support calls at Oracle to Striim's real-time pipelines, Pareek has followed one durable idea: useful information often begins with the change that just happened.

A failed monitoring product left Paul Dix with five weeks, a stubborn hunch and the beginnings of InfluxDB. Thirteen years later, his career is a study in the useful art of rebuilding before comfort hardens into doctrine.

He started with a profiler annoyance and spent the next 17 years turning impatience into infrastructure. ClickHouse is now a global company, but its CTO still thinks like the boy who wanted the computer to draw one more circle.

The Databricks co-founder helped give big data a humane interface. Now he is returning to a problem his adviser once called solved - and finding it wonderfully unfinished.

He helped name Cassandra, watched Facebook outrun his early growth estimate, and then spent a decade turning those lessons into YugabyteDB. Now Karthik Ranganathan is asking the same old question in a new arena: what happens when the infrastructure must remember, scale and stay awake?