Daniel Abadi

Daniel Abadi is the Darnell-Kanal Professor of Computer Science at University of Maryland, College Park[1] and was named an ACM Fellow in 2020.[2] His primary area of research is database systems, and his publications have been cited more than 21,000 times (April 2021).[3] He is known for his contributions to distributed databases, column-store databases, deterministic databases, graph databases, and stream databases. Specifically, he developed the storage and query execution engines of the C-Store (column-oriented database) prototype, which was commercialized by Vertica and later acquired by Hewlett-Packard in 2011. His HadoopDB research on fault tolerant scalable analytical database systems was commercialized by Hadapt and acquired by Teradata in 2014.[4]

Abadi was the first to describe the PACELC theorem in a 2010 blog post. PACELC, a response to the CAP theorem, was proved formally in 2018 in a SIGACT News article.[5]

Notable works of Abadi include Calvin[6] and HadoopDB. Calvin[6][7] (2012) is a partitioned database system developed by Abadi's research group, which is the technology behind FaunaDB.[8][9] Abadi currently serves as an advisor for FaunaDB.[10] Abadi was a recipient of the VLDB Test of Time Award for a 2009 publication titled HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads.[11]

References
  1. "Daniel Abadi named Darnell-Kanal Professor of Computer Science". www.cs.umd.edu. 2017-01-26. Retrieved 2021-04-12.
  2. "2020 ACM Fellows Recognized for Work that Underpins Today's Computing Innovations". www.acm.org. Retrieved 2021-04-12.
  3. "Daniel J. Abadi". scholar.google.com. Retrieved 2021-04-12.
  4. "Daniel Abadi named Darnell-Kanal Professor of Computer Science". www.cs.umd.edu. 2017-01-26. Retrieved 2021-04-12.
  5. Wojciech Golab, "Proving PACELC", ACM SIGACT News, Volume 49 Issue 1 (2018), pg. 73–81.
  6. Thomson, Alexander; Diamond, Thaddeus; Weng, Shu-Chun; Ren, Kun; Shao, Philip; Abadi, Daniel J. (2012-05-20). "Calvin: fast distributed transactions for partitioned database systems". Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. SIGMOD '12. Scottsdale, Arizona, USA: Association for Computing Machinery: 1–12. doi:10.1145/2213836.2213838. ISBN 978-1-4503-1247-9. S2CID 317107.
  7. Abadi, Daniel (2012-05-16). "DBMS Musings: If all these new DBMS technologies are so scalable, why are Oracle and DB2 still on top of TPC-C? A roadmap to end their dominance". DBMS Musings. Retrieved 2021-04-12.
  8. ""Calvin: fast distributed transactions for partitioned database systems"". blog.acolyer.org. Retrieved 2021-04-12.
  9. "Fauna Named to Database Trends and Applications 2019 DBTA 100". www.businesswire.com. 2019-06-12. Retrieved 2021-04-12.
  10. "About Us". Fauna. Retrieved 2021-04-12.
  11. "VLDB Test of Time Award". www.vldb.org. Retrieved 2021-04-12.


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