Alexander had first touch points with Jorge back in 2012 at his time at Cloudera. The research papers, written by Jorge and others in his team at QRCI and HPI, lead to the research of distributed in-memory query engines, and finally to the first in-memory query engine for Apache Hadoop.
Jorge started to investigate the topic of Federated Data Processing and distributed AI in 2015. The team around Jorge developed Rheem in 2016, and presented the software stack at the Spark Summit 2017, followed by multiple conferences.
Alexander met Jorge again 2019 during his visit in Qatar, where he was guest of the Qatar Technology Foundation. After the first meeting with Jorge both realized the huge potential and agreed to found a company to bring this technology to market. From that point on they bootstrapped the further development to build the most complete federated data processing engine.
DataBloom AI, Inc. was finally founded in 2022 in Miami to deal with the increased interest around the Bay Area, Florida and Texas.
Members of our team are frequent speakers at large conventions and meetups, like newWork summit, SXSW, Big Data World, Apache Con, BOSS, Developer Week, etc.
data mesh since