Apache Druid

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

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About

Apache Druid is ranked #15 of 74 in database software on Inferse. It runs on API, Linux, macOS, Self-hosted, Web. There is a free plan.

Compared on database software

Real-time ingestion: Yesdruid.apache.org

Facts

Purpose: Apache Druid is a high-performance real-time analytics database for sub-second queries on streaming and batch data at scale.druid.apache.org · 1 Oct 2026
OLAP scale: Druid executes OLAP queries in milliseconds on high-cardinality datasets containing billions to trillions of rows.druid.apache.org · 1 Oct 2026
Concurrency: Druid supports applications ranging from hundreds to 100,000 queries per second at consistent performance.druid.apache.org · 1 Oct 2026
Streaming: Native Apache Kafka and Amazon Kinesis integrations provide query-on-arrival, ingestion at millions of events per second, low latency, and guaranteed consistency.druid.apache.org · 1 Oct 2026
Storage format: Druid automatically columnarizes, time-indexes, dictionary-encodes, bitmap-indexes, and compresses ingested data.druid.apache.org · 1 Oct 2026
Architecture: Loosely coupled ingestion, query, and orchestration components with deep storage support scale-up and scale-out.druid.apache.org · 1 Oct 2026
Reliability: Druid provides continuous backup, automated recovery, and multi-node replication for high availability and durability.druid.apache.org · 1 Oct 2026
Query languages: Druid supports both Druid SQL and JSON-over-HTTP native queries.druid.apache.org · 1 Oct 2026
Web console: The web console loads data, manages datasources and tasks, displays server status and segments, and runs SQL and native queries.druid.apache.org · 1 Oct 2026
Integrations: Core extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL.druid.apache.org · 1 Oct 2026
Security: Druid security features are disabled by default and production deployments must configure TLS, authentication, and authorization.druid.apache.org · 1 Oct 2026
Operating systems: The quickstart supports Linux, Mac OS X, and other Unix-like operating systems; Windows is not supported.druid.apache.org · 1 Oct 2026
System requirement: The local quickstart requires a machine with at least 6 GiB of RAM and Java 17.druid.apache.org · 1 Oct 2026
Support: The project directs users to Slack and GitHub for help and lists Cloudera, Datumo, Deep.BI, Imply, and Rill Data as commercial support providers.druid.apache.org · 1 Oct 2026
License: Apache Druid and its documentation are licensed under the Apache License, Version 2.0.druid.apache.org · 1 Oct 2026
Latest release: The latest stable release is Apache Druid 37.0.0, released May 8, 2026.druid.apache.org · 1 Oct 2026
What it does: Apache Druid is a real-time analytics database for sub-second queries on streaming and batch data at scale.druid.apache.org · 2 Oct 2026
Query performance: The project says Druid can execute OLAP queries in milliseconds over datasets with billions to trillions of rows.druid.apache.org · 2 Oct 2026
Ingestion: Druid integrates natively with Apache Kafka and Amazon Kinesis for low-latency streaming ingestion and query-on-arrival.druid.apache.org · 2 Oct 2026
Storage and indexing: Ingested data is columnarized, time-indexed, dictionary-encoded, bitmap-indexed, and compressed.druid.apache.org · 2 Oct 2026
SQL and joins: Druid provides a SQL API and supports joins during ingestion and at query time.druid.apache.org · 2 Oct 2026
Extensions: Core extensions add support for storage, metadata stores, formats, authentication, and other capabilities; examples include S3, HDFS, Azure, Kafka, and PostgreSQL.druid.apache.org · 2 Oct 2026
Authentication options: Documented authenticator extensions include HTTP Basic authentication, LDAP, and Kerberos.druid.apache.org · 2 Oct 2026
Deployment: Druid can run on commodity hardware in *NIX environments and is designed to run in AWS, GCP, Azure, and other cloud environments.druid.apache.org · 2 Oct 2026
Intended workloads: The FAQ recommends considering Druid for user-facing applications, low-latency high-concurrency queries, instant data visibility, ad hoc exploration, and streaming data.druid.apache.org · 2 Oct 2026
Notable limitation: The FAQ says Druid is not commonly used for full-text search over text logs, though it is often used to ingest and analyze semi-structured data such as JSON.druid.apache.org · 2 Oct 2026