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In a research paper recently published by the Institute of Electrical and Electronics engineers, researchers employed Deephaven to ingest and filter data before performing their tests and analytics. Read the full paper here.

Hubert Dulay interviewed our CEO Pete Goddard, CTO Ryan Caudy, and Lead Developer Devin Smith about the origins of Deephaven and its mission to provide a live data stack. Listen to the full interview on his podcast here.

Datanami's Alex Woodie sits down with our CEO, Pete Goddard, to talk about Deephaven's real-time data capabilities and ease-of-use. Of note, Python users can now launch Core using pip. Covering its simple installation, streamlined table operations, and integration with Jupyter, the article highlights Deephaven's accessiblity to all users, despite their level of programming expertise.

Eric and Kostas from The Data Stack Show chat with Pete Goddard, the CEO of Deephaven, Arjun Narayan, co-founder and CEO of Materialize, Jeff Chao, a staff engineer at Stripe, and Ashley Jeffs, a software engineer at Benthos. Together they discuss batch versus streaming, transitioning from traditional data methods, and define “streaming ETL” as they push for simplicity across the board.

Watch on Youtube.

Conquering real-time data is the future of data science - but when it comes to AI, there are several roadblocks to overcome before you get it right. In his article published in Venture Beat, Chip Kent outlines strategies that put you on the easy path towards real-time AI.