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Druid
Druid

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Apache Flink
Apache Flink

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Druid vs Apache Flink: 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; Apache Flink: Fast and reliable large-scale data processing engine. 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.

Druid and Apache Flink 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 "Unified batch and stream processing" was stated as the key factor in picking Apache Flink.

Druid and Apache Flink are both open source tools. Apache Flink with 9.11K GitHub stars and 4.86K forks on GitHub appears to be more popular than Druid with 8.22K GitHub stars and 2.05K GitHub forks.

Zalando, sovrn Holdings, and BetterCloud are some of the popular companies that use Apache Flink, whereas Druid is used by Instacart, Airbnb, and Dial Once. Apache Flink has a broader approval, being mentioned in 20 company stacks & 21 developers stacks; compared to Druid, which is listed in 24 company stacks and 12 developer stacks.

What is Druid?

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 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.
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      What are some alternatives to Druid and Apache Flink?
      HBase
      Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      Prometheus
      Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
      Elasticsearch
      Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
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      How developers use Druid and Apache Flink
      Avatar of Coolfront Technologies
      Coolfront Technologies uses Apache FlinkApache Flink

      Used for analytics on streaming data.

      Avatar of rmetzger
      rmetzger uses Apache FlinkApache Flink

      Flink for stream data analytics

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