Doris Core Release Notes
This document presents Apache Doris Core release notes in reverse chronological order.
Doris Core Release Notes
🎉 Version 4.1.4 is released. Check out the 🔗Release Notes here. Apache Doris 4.1.4 adds ANN indexes on Merge-on-Write tables, multimodal file embedding, adaptive global runtime filter publishing for large clusters, OceanBase CDC streaming jobs, and TLS for internal communication. It also includes fixes across query execution, storage, load, cloud-native deployments, lakehouse, and authentication.
🎉 Version 4.0.8 is released. Check out the 🔗Release Notes here. Apache Doris 4.0.8 is a maintenance release focused on compute-storage decoupled deployments, load and transaction stability, File Cache behavior, security hardening of internal endpoints, and Lakehouse compatibility. All 4.0.x users are advised to upgrade.
🎉 Version 3.1.4 is released. Check out the 🔗Release Notes here. Doris 3.1 introduces a sparse column and schema template for the VARIANT data type, making it more efficient to store and query large datasets with dynamic fields, such as logs and JSON data. For lakehouse capabilities, it enhances asynchronous materialized views and expands support for Iceberg and Paimon to build a stronger bridge between data lakes and data warehouses.
🎉 Version 3.0.8 released now. Check out the 🔗Release Notes here. Starting from version 3.X, Apache Doris supports a compute-storage decoupled mode in addition to the compute-storage coupled mode for cluster deployment. With the cloud-native architecture that decouples the computation and storage layers, users can achieve physical isolation between query loads across multiple compute clusters, as well as isolation between read and write loads.
🎉 Version 2.1.11 released now. Check out the 🔗Release Notes here. The 2.1 version delivers exceptional performance with 100% higher out-of-the-box queries proven by TPC-DS 1TB tests, enhanced data lake analytics that are 4-6 times speedier than Trino and Spark, solid support for semi-structured data analysis with new Variant types and suite of analytical functions, asynchronous materialized views for query acceleration, optimized real-time writing at scale, and better workload management with stability and runtime SQL resource tracking.
