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TECHNOLOGY

How We Achieved 20x Faster Results than ODBC/JDBC using Arrow FlightSQL

August 25, 2022 | 2 Minute Read

An Apache Arrow contributor, cofounder at Bit Quill Technologies, and contributor to Dremio Corporation projects, James Duong has worked with databases for over 15 years, from backend query engines to drivers and protocols.

He’s worked with a variety of relational, big data, and cloud databases including Dremio, SQL Server, Redshift, and Hive. James has become an industry specialist on Arrow FlightSQL.

Check out his presentations and demonstrations below:

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Subsurface’s Cloud Data Lake Conference: Learn the advantages of Apache Arrow FlightSQL over JDBC and ODBC and how to use FlightSQL from Python, C++, Java, and other languages. In addition, we’ll provide an overview of a JDBC driver built on Arrow FlightSQL and how it enables existing client applications like Tableau to take advantage of this increased performance with zero application changes.

Voltron Data’s Data Thread Conference: Join us to learn about the latest developments across the Data ecosystem and hear from practitioners who have built industry-leading products using Apache Arrow.

GrayBeardsOnStorage podcast here, here’s a snippet: “Apache Arrow Flight is a set of interfaces, protocols, and services that parallelizes access to load and unload Arrow data over the network, from storage to memory and back, very fast.“

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