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Building Lightning Fast Dashboards Using Apache Druid \u0026 Apache Superset
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What is Apache Druid?
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Apache Druid (incubating) is a high performance real-time analytics database. Download GitHub. Druid is a real-time analytics database that excels at providing immediate data visibility and understanding. Easily load streaming or batch data, and answer ad-hoc analytic queries on billions of rows in under a second.
Why is it called Druid?
The name Druid comes from the shapeshifting Druid class in many role-playing games, to reflect that the architecture of the system can shift to solve different types of data problems. Druid is commonly used in business intelligence – OLAP applications to analyze high volumes of real-time and historical data.
What is the use case for a druid database?
Druid is most often used as a database for powering use cases where real-time ingest, fast query performance, and high uptime are important. As such, Druid is commonly used for powering GUIs of analytical applications, or as a backend for highly-concurrent APIs that need fast aggregations. Druid works best with event-oriented data.
What is the history Druid project?
History Druid was started in 2011 to power the analytics product of Metamarkets. The project was open-sourced under the GPL license in October 2012, and moved to an Apache License in February 2015.
What is a druid node?
Fully deployed, Druid runs as a cluster of specialized processes (called nodes in Druid) to support a fault-tolerant architecture where data is stored redundantly, and there is no single point of failure.
Why did gameanalytics migrate to Apache Druid?
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Why GameAnalytics migrated to Apache Druid (Ramón Lastres Guerrero), Imply blog, 14 Feb 2019. Glia uses Druid to provide application usage insights to its clients. Druid powers a dashboard used internally to visualize real-time analytics on GumGum’s Real Time Bidding platform.
What is Druid database used for?
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Overview A fast, modern analytics database Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired.
What is the use case for a druid database?
Druid is most often used as a database for powering use cases where real-time ingest, fast query performance, and high uptime are important. As such, Druid is commonly used for powering GUIs of analytical applications, or as a backend for highly-concurrent APIs that need fast aggregations. Druid works best with event-oriented data.
What is Druid used for?
A fast, modern analytics database Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Easy integration with your existing data pipelines
What is Apache Druid?
Apache Druid (incubating) is a high performance real-time analytics database. Download GitHub. Druid is a real-time analytics database that excels at providing immediate data visibility and understanding. Easily load streaming or batch data, and answer ad-hoc analytic queries on billions of rows in under a second.
What is the best data format for Druid?
Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. Fast, consistent queries at high concurrency Druid has been benchmarked to greatly outperform legacy solutions.
How does Druid work with Marchex call analytics?
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Marchex uses Druid to provide data for Marchex Call Analytics’ new customer facing Speech Analytics dashboards. Druid’s fast aggregation is critical for providing deep insights into call performance for its customers, enabling them to spot trends and improve performance of both marketing campaigns and call centers.
What is Apache Druid?
Apache Druid is described as a high performance real time analytics database and was developed at Metamarkets in 2011 for their internal analytics system.
Is Druid good for big data?
Unlike traditional relational databases, such as MySQL, Druid is a column-oriented data store and can “ingest” massive amounts of data and allows very fast querying, making it well-suited to large volumes of data (or “big data”), including time series or event-based datasets.
What is Druid and is it free?
Like other Apache projects, Druid is free and open source and is used by many huge businesses, including Slack, Netflix, Cisco, and Airbnb.
References:
Druid | Database for modern analytics applications
What is Apache Druid? – Medium
GitHub – apache/druid: Apache Druid: a high performance …
Druid and SuperSet for real-time monitoring at scale
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What is the use case for a druid database?
What is Druid used for?
What is Apache Druid?
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What is Druid database used for?
What is Apache Druid?
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What is Druid and is it free?
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