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Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is substantial. As such, Druid is for the most part used to power UIs under which individual interactive, consistent user competence is anticipated. Druid streams data from message buses such as Kafka, in addition to Amazon Kinesis, and batch load bundles from material lakes such as HDFS, and Amazon S3. Druid supports optimum popular file formats for structured and semi-structured data. Druid has been benchmarked to greatly outperform legacy solutions. Druid combines novel storage ideas, structuring structures, likewise both exact and approximate queries to return biggest results in in the depths of a second. Druid unlocks new types of analyses and workflows to clickstream, APM, storage chain, network telemetry, digital marketing, risk/fraud, and many other types of data. Druid is agenda built for fleeting, ad-hoc queries on both real-time and historical data.

Factors

• Druid can be deployed in any *NIX environment on commodity hardware
• It can be activated both in the cloud and on premise
• Deploying Druid is easy, scaling up and diminishing is as simple as amplifying and removing Druid services
• Get started with Druid in minutes, load your own data and query it
• Druid is proven in production through the world’s leading cooperatives at massive scale
• Druid's main value expand shows to reduce time to insight and action

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Be the first to content a review of Apache Druid! Additional Project Details Programming LanguageJava Related Categories Java Database Software Registered 2021-05-26 Similar Business Interface

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