Doris

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Doris is an easy-to-use, high-performance, and unified analytics database based on MPP architecture. It provides sub-second query responses for massive data, supporting both high-concurrency point queries and complex analysis.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is doris?

Apache Doris is an easy-to-use, high-performance, and real-time analytical database built on MPP architecture. It delivers sub-second query results for massive datasets, handling both high-concurrency point queries and complex analytical scenarios. This makes it ideal for report analysis, ad-hoc queries, unified data warehousing, and data lake query acceleration. Users can build applications like user behavior analysis, AB test platforms, and log retrieval analysis. Doris supports real-time data analysis, real-time reporting, ad hoc analysis, user profiling, lakehouse analytics, federated queries, and SQL-based observability. It uses the MySQL protocol, is highly compatible with MySQL syntax, and integrates seamlessly with various BI tools. Its architecture consists of Frontend (FE) for metadata and query planning, and Backend (BE) for data storage and execution, both horizontally scalable for high availability and data reliability.

Best used for

Ideal for data scientists and data engineers who need to perform real-time data analysis, accelerate data lake queries, and build unified data warehouses. Especially valuable for scenarios requiring sub-second query responses on massive datasets and high compatibility with MySQL ecosystems.

Common actions

analyze data

query databases

manage data warehouse

accelerate data queries

automated workflowdeepfakeworkflowslow-code/no-codecollaborationopen-sourceface swappinggithub copilot"AI Agents"

Capabilities

Key features

MPP architecture
Columnar storage engine
Real-time data ingestion
SQL interface
Materialized views
High compatibility

Target Audience

data scientistdata engineer

Integrations

smartbidataeasefinebitableaupower-biapache-superset

Pricing & Plans

Open Source

Free

FAQs

What kind of data models does Apache Doris support?

Apache Doris supports various data models including Detail Model (Duplicate Key Model) for detailed storage, Primary Key Model (Unique Key Model) for unique keys with row-level updates, and Aggregate Model (Aggregate Key Model) for pre-aggregation and performance improvement.

How does Apache Doris ensure high availability and data reliability?

Apache Doris ensures high availability by storing both metadata and data with multiple replicas, synchronizing data logs via the quorum protocol. Data writes are successful when a majority of replicas complete, allowing the cluster to remain available even if some nodes fail.

What is the primary architecture of Apache Doris?

Apache Doris features a streamlined storage-compute integrated architecture with two main process types: Frontend (FE) for user requests, query planning, and metadata management, and Backend (BE) for data storage and query execution. Both are horizontally scalable.

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Coding & Development › Database & SQL Coding & Development › Open Source & Models

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