Real-Time Data Warehouse
VeloDB is a modern real-time data warehouse for blazing-fast analytics on large-scale data, transforming batch analytics to real-time.
Built by Apache Doris Creators
Top 1
In Doris Commits
24/7/365
Support for Doris
Top 1
Community Contribution
Apache Doris and VeloDB are Trusted By
Blog
Milestone: Apache Doris 3.0 Released
Starting from version 3.X, Apache Doris supports a compute-storage decoupled mode in addition to the compute-storage coupled mode for cluster deployment.
Slides
Why Choose Apache Doris over Elasticsearch
Apache Doris is increasingly replacing Elasticsearch. Here is a comparison of two and Doris use cases in observability, cybersecurity, and business data analysis.
Events
AWS & Apache Doris Meetup: Global Big Data & AI Ecosystem
On February 24, join keynotes from AWS, Apache Doris and talks from TrueWatch, WhaleOps, and Zilliz. Network and explore the future of data processing and AI.
EVOLUTION
Real-Time is the Future of Data Warehouse
20 years ago
Traditional Data Warehouse
For small-scale analytics, on-premises with fixed architecture and limited scalability.
Key Features:
10 years ago
Cloud Data Warehouse
For big data analytics, with elastic scalability, cost efficiency, and easy operations.
Enhancements:
Today
Real-Time Data Warehouse
Optimized for online / real-time analytics, delivering instant insights on large-scale data.
Additional Features:
Data Lake 2.0
Offline / Batch Data Processing and DS / ML / AI
REAL-TIME
Industry-Leading Real-Time Performance
Real-Time Ingestion
Ensure data freshness with second-level real-time ingestion, high-performance upserts, and lightweight schema changes
PB-scale
Data size
10 GB/s
Log write throughput
1 sec.
Data latency on 100 million logs
Blazing-Fast Analytics
Both for wide table queries and complex JOIN queries, it offers the fastest analytical performance in the world.
TOP 3
Clickbench (In Oct 2024)
3-8x
TPC-H (Doris vs. Greenplum)
3x
TPC-DS (Doris vs. Trino)
High-Concurrency Queries
Deliver sub-second query responses to thousands of users while utilizing minimal computing resources.
10 billion
Data rows per day
10,000 QPS
Query concurrency
150 ms
Query latency
MODERN
Embrace the Data Warehousing Revolution with Emerging Technologies
Cloud-Native & Multi-Cloud
Decoupled storage-compute, elastic scaling, cost efficiency and easy operations. Deploy on AWS, GCP, Azure, and more.
TrustDecision, powered by VeloDB, is constructed on a cloud native architecture. With its storage and computing components decoupled, the system allows clusters to scale rapidly. That can bring a 300%~500% increase in resource efficiency.
Optimized for All Data
Native support for JSON, String and Bitmap, optimized for key use cases such as log analysis, user profiling and behavior analysis.
VeloDB's VARIANT data type for semi-structured data enables native JSON and nested data handling. It auto-analyzes JSON fields/types and uses columnar storage for frequent fields, boosting storage and analysis efficiency.
Build an Open Data Lakehouse
Serve as a Lakehouse SQL Engine. Directly run warehousing workloads on open formats like Hive and Iceberg.
Kwai replaced ClickHouse with Doris, simplifying its architecture from a separated data lake - warehouse to a unified lakehouse and achieving unified storage, high performance queries, and flexible data governance.
INTEGRATION
Seamlessly Integrate with Your Stack
Recent News