Delta Lake vs Druid: What are the differences?
Developers describe Delta Lake as "Reliable Data Lakes at Scale". An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. On the other hand, Druid is detailed as "Fast column-oriented distributed data store". Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Delta Lake and Druid can be categorized as "Big Data" tools.
Delta Lake and Druid are both open source tools. It seems that Druid with 8.32K GitHub stars and 2.08K forks on GitHub has more adoption than Delta Lake with 1.26K GitHub stars and 210 GitHub forks.
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What is Delta Lake?
What is Druid?
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