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The database for large-scale event analytics
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What is EventQL?

EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries.
EventQL is a tool in the Big Data Tools category of a tech stack.
EventQL is an open source tool with 1.1K GitHub stars and 107 GitHub forks. Here’s a link to EventQL's open source repository on GitHub

Who uses EventQL?

Pros of EventQL

EventQL's Features

  • Database, SQL, Analytics

EventQL Alternatives & Comparisons

What are some alternatives to EventQL?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
See all alternatives

EventQL's Followers
9 developers follow EventQL to keep up with related blogs and decisions.