Understanding Big Data Storage Engines and the Baidu Palo Project
The article highlights the critical role of databases in big data ecosystems, surveys existing open‑source and commercial storage and query engines such as Druid, Kylin, Impala, Greenplum, Vertica and Redshift, and introduces Baidu’s open‑source Palo project, questioning its unique features and performance.
Big data relies heavily on data storage, and databases are a crucial component of the big data stack. Because of this, the industry continuously seeks better big data storage and query engines. Existing open‑source solutions include Druid, Kylin, and Impala, while commercial options feature EMC Greenplum, HP Vertica, and AWS Redshift.
Baidu’s open‑source Palo project is introduced, prompting questions about what kind of database engine it is, how it differs from the aforementioned engines, and how its performance compares.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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