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Apache Druid is an open-source real-time analytics database designed for fast OLAP queries on large datasets. It delivers sub-second query performance, very high concurrency, native streaming integration, and SQL-based operations for clickstream and IoT analytics.
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Sub-second OLAP queries on high-cardinality, high-dimensional datasets · Very high concurrency (100s to 100,000s queries per second) · SQL API for ingestion, transformation, and querying
Execute OLAP queries in milliseconds on high-cardinality and high-dimensional data sets with billions to trillions of rows without pre-defining or caching queries in advance.
Clickstream analytics for websites and mobile applications · IoT analytics for device performance and predictive maintenance
Clickstream analytics | Analyze user behavior on websites and mobile applications to understand navigation patterns, popular content, and user engagement
No streaming updates to existing records via primary key
You need low-latency updates of existing records using a primary key. Druid supports streaming inserts, but not streaming updates.
Default Coordinator API port is 8081 for non-TLS and 8281 for secured (TLS) connections
The default Coordinator API port is 8081 for non-TLS connections and 8281 for secured connections.
Native streaming integration with Apache Kafka and Amazon Kinesis · Out-of-the-box connectors for Apache Kafka, AWS Kinesis, HDFS, and AWS S3
Druid's native integration with Apache Kafka and Amazon Kinesis
Cloud-native; runs on AWS, GCP, Azure, and on commodity *NIX hardware · Should be run as an unprivileged Unix user, never as root, to limit OS-level privilege exp
Druid was designed for the cloud, and runs well in AWS, GCP, Azure, and other cloud environments.
This profile connects the jobs Apache Druid is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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Apache Druid | Apache® Druid
Real-time analytics database for OLAP workloads · Sub-second OLAP queries on high-cardinality, high-dimensional datasets · Very high concurrency (100s to 100,000s queries per second)
Real-time analytics database for OLAP workloads
Sub-second OLAP queries on high-cardinality, high-dimensional datasets
Very high concurrency (100s to 100,000s queries per second)
SQL API for ingestion, transformation, and querying
Native streaming integration with Apache Kafka and Amazon Kinesis
Out-of-the-box connectors for Apache Kafka, AWS Kinesis, HDFS, and AWS S3
Clickstream analytics for websites and mobile applications
IoT analytics for device performance and predictive maintenance
Linux, macOS, or other Unix-like OS; Windows is not supported
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
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This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
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These tools share a workflow, capability or audience with Apache Druid. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Cloud-native; runs on AWS, GCP, Azure, and on commodity *NIX hardware
Open-source Apache project; downloadable binary releases
No streaming updates to existing records via primary key
Security features (TLS, authentication, authorization) are disabled by default and must be configured for production deployments
Authenticator extensions are available for HTTP basic authentication, LDAP, and Kerberos
Supports per-datasource permissions and role-based authorization via the druid-basic-security extension
Permissions cannot be assigned directly to users; they must be assigned through roles
Should be run as an unprivileged Unix user, never as root, to limit OS-level privilege exposure
Uses Jetty as its embedded web server for TLS/SSL handling
TLS can be enabled cluster-wide using druid.enableTlsPort=true and druid.enablePlaintextPort=false, using TLSv1.2 with JKS keystores
Default Coordinator API port is 8081 for non-TLS and 8281 for secured (TLS) connections
Uses an Escalator component to define how Druid processes authenticate with one another internally (e.g., druid_system user)
Sensitive configuration such as passwords should be supplied via environment variable dynamic config providers rather than plain-text in ingestion specs
Self-signed certificates are not recommended for production; rely on existing PKI
Apache® Druid is an Apache Software Foundation project
Real-time analytics database for OLAP workloads · Sub-second OLAP queries on high-cardinality, high-dimensional datasets with billions to tr · Supports 100s to 100,000s queries per second at consistent performance
Apache Druid supports configurable TLS, authentication, and authorization security features.
By default, Druid's security features are disabled and must be configured manually for production deployments.
Druid should be run as an unprivileged Unix user, not as root, to limit the OS-level privileges of Druid administrators.
TLS can be enabled to encrypt traffic between external clients and the Druid cluster and between services within the cluster.
Authenticator extensions are available for HTTP basic authentication, LDAP, and Kerberos.
Druid supports per-datasource permission granularity for authorization.
Druid authorization requires permissions to be assigned to roles rather than directly to individual users.
Druid uses Jetty as its embedded web server for TLS and HTTP handling.
The default Druid Coordinator API port is 8081 for non-TLS connections and 8281 for TLS-secured connections.
Druid uses an Escalator to define how Druid processes authenticate with one another internally.
Apache Druid is an Apache Software Foundation project, branded as Apache® Druid.
Real-time analytics database for OLAP queries · Sub-second OLAP queries on massive datasets · High-concurrency query performance (100s to 100,000s QPS)
