Apache Druid (incubating) is a high performance real-time analytics database.

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A modern cloud-native, stream-native, analytics database

Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases.

Dead easy integration with your existing data pipeline

Druid can natively stream data from message buses such as Kafka, Amazon Kinesis, and more, and batch load files from data lakes such as HDFS, Amazon S3, and more.

Up to 100x faster than traditional solutions

Druid has been benchmarked to greatly outpeform legacy solutions for data ingestion and data querying. Druid's novel architecture combines the best of data warehouses, timeseries databases, and search systems.

Unlock new workflows

Druid unlocks new types of queries and workflows for clickstream, APM, supply chain, network telemetry, digital marketing, and many other forms of event-driven data. Druid is purpose built for rapid, ad-hoc queries on both real-time and historical data.

Deploy in AWS/GCP/Azure, hybrid clouds, Kubernetes, and bare metal

Druid can be deployed in any *NIX environment on commodity hardware, both in the cloud and on premise. Deploying Druid is easy: scaling up and down is as simple as adding and removing Druid services.

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Disclaimer: Apache Druid is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.