Real-Time Data Warehouse

Deliver the Power of Apache Doris

VeloDB is a modern real-time data warehouse for blazing-fast analytics on large-scale data, transforming batch analytics to real-time.

Doris

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

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:

  • Shared Nothing Architecture
  • Massively Parallel Processing (MPP)
  • Columnar Storage
footer iconfooter iconfooter icon

10 years ago

Cloud Data Warehouse

For big data analytics, with elastic scalability, cost efficiency, and easy operations.

Enhancements:

  • Cloud Native
  • Decoupled Compute and Storage
  • Elastic Scalability
footer iconfooter iconfooter icon

Today

Real-Time Data Warehouse

Optimized for online / real-time analytics, delivering instant insights on large-scale data.

Additional Features:

  • Real-Time Ingestion
  • Blazing-Fast Analytics
  • Complex Data Types
  • Open Lakehouse SQL Engine
logo iconPowered by Apache Doris

Data Lake 2.0

Offline / Batch Data Processing and DS / ML / AI

footer iconfooter iconfooter icon

REAL-TIME

Industry-Leading Real-Time Performance

Real-Time Ingestion

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

colon icon
The Apache Doris-based logging system serves a PB-scale data size with over 99.9% availability and deliver a log write throughput of 10 GB/s, while maintaining data latency within seconds.
Real-Time Ingestion
Blazing-Fast Analytics

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)

colon icon
In October 2024, Doris achieved top 3 in Clickbench. In TPC-H, Doris is 3-8x faster than Greenplum in JOIN queries. In TPC-DS, Doris lakehouse analytics outperformed Trino by 3x.
Blazing-Fast Analytics
High-Concurrency Queries

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

colon icon
...witnessed remarkable performance enhancements. Currently, it is capable of processing a daily volume of 10 billion data rows and attaining 10,000 QPS with a minimum query latency of 150ms.
Real-Time Ingestion

MODERN

Embrace the Data Warehousing Revolution with Emerging Technologies

Cloud-Native & Multi-Cloud

Cloud-Native & Multi-Cloud

Decoupled storage-compute, elastic scaling, cost efficiency and easy operations. Deploy on AWS, GCP, Azure, and more.

Cloud-Native & Multi-Cloud

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.

Trust Decision
Optimized for All Data

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.

Optimized for All Data

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.

Guance
Build an Open Data Lakehouse

Build an Open Data Lakehouse

Serve as a Lakehouse SQL Engine. Directly run warehousing workloads on open formats like Hive and Iceberg.

Build an Open Data Lakehouse

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.

Kwai

INTEGRATION

Seamlessly Integrate with Your Stack

home-integrations-bg