Druid vs Vespa: What are the differences?
Druid: 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; Vespa: Store, search, rank and organize big data. Vespa is an engine for low-latency computation over large data sets. It stores and indexes your data such that queries, selection and processing over the data can be performed at serving time.
Druid and Vespa can be primarily classified as "Big Data" tools.
Druid and Vespa are both open source tools. It seems that Druid with 8.31K GitHub stars and 2.08K forks on GitHub has more adoption than Vespa with 2.85K GitHub stars and 339 GitHub forks.