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Druid vs EventQL: What are the differences?
What is 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.
What is EventQL? The database for large-scale event analytics. EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.
Druid and EventQL belong to "Big Data Tools" category of the tech stack.
"Real Time Aggregations" is the primary reason why developers consider Druid over the competitors, whereas "23" was stated as the key factor in picking EventQL.
Druid and EventQL are both open source tools. It seems that Druid with 8.31K GitHub stars and 2.08K forks on GitHub has more adoption than EventQL with 1.02K GitHub stars and 91 GitHub forks.
Pros of Druid
- Real Time Aggregations15
- Batch and Real-Time Ingestion6
- OLAP5
- OLAP + OLTP3
- Combining stream and historical analytics2
- OLTP1
Pros of EventQL
- 233
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Cons of Druid
- Limited sql support3
- Joins are not supported well2
- Complexity1
Cons of EventQL
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What is Druid?
What is EventQL?
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