Druid is a high performance, real-time analytics database that delivers sub-second queries on streaming and batch data at scale and under load.
Although Druid incorporates architecture ideas from data warehouses such as column-oriented storage, Druid also incorporates designs from search systems and timeseries databases. Druid’s architecture is designed to handle many use cases that traditional data warehouses cannot.
This is free and open source software.
Key Features
- Interactive Query Engine – uses scatter/gather for high speed queries with data preloaded into memory or local storage to avoid data movement and network latency.
- Tiering & QoS – configurable tiering with quality of service enables the ideal price-performance for mixed workloads, guarantees priority, and avoids resource contention.
- Optimized Data Format – ingested data is automatically columnarized, time-indexed, dictionary-encoded, bitmap-indexed, and type-aware compressed
- Elastic Architecture – loosely coupled components for ingestion, queries, and orchestration combined with a deep storage layer enable easy & quick scale-up & scale-out.
- True Stream Ingestion – a connector-free integration with streaming platforms enables query-on-arrival, high scalability, low latency, and guaranteed consistency.
- Non-stop Reliability – automatic data services including continuous backup, automated recovery, and multi-node replication ensure high availability and durability.
- Schema Auto-Discovery – automatically detect, define, and update column names and data types upon ingestion, providing the ease of schemaless and the performance of strongly typed schemas.
- Flexible Joins Support – supports join operations during data ingestion and at query-time execution, with the fastest query performance when tables are pre-joined during ingestion.
- SQL Support – use the familiar SQL API for end-to-end data operations across ingestion, transformation, and querying.
Website: druid.apache.org
Support: GitHub Code Repository
Developer: Apache Software Foundation
License: Apache License 2.0
Druid is written in Java. Learn Java with our recommended free books and free tutorials.
Related Software
| Column-Oriented Databases | |
|---|---|
| MariaDB ColumnStore | Uses a massively parallel distributed data architecture |
| DuckDB | In-process SQL OLAP database management system |
| Druid | High performance, real-time analytics database |
| Databend | Cloud data warehouse |
| ClickHouse | Real-time analytics database management system |
| InfluxDB Core | Scalable datastore for metrics, events, and real-time analytics |
| Doris | Modern data warehouse for real-time analytics |
| VictoriaMetrics | Scalable solution for monitoring and managing time series data |
| StarRocks | High-performance analytical database |
| MonetDB | High performance relational database system for analytics |
| Kudu | Distributed data storage engine |
| QuestDB | High-performance time-series database |
| Pinot | Real-time analytics platform |
| IoTDB | High-performance time-series database |
| GreptimeDB | Cloud-native database |
| CrateDB | Distributed SQL database management |
Read our verdict in the software roundup.
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