Built by the original creators of Apache Doris
Modern Real-Time Data Warehouse
Powered by Apache Doris, VeloDB is a modern data warehouse for lightning-fast analytics on real-time data at scale.
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A financial anti-fraud solution based on the Apache Doris data warehouse
A financial anti-fraud solution based on the Apache Doris data warehouse
Financial fraud prevention is a race against time. This post will get into details about how a retail bank builds their fraud risk management platform based on Apache Doris and how it performs.
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Enter the「Modern」data warehouse

Real-Time

Fresh data and fast queries

Push-based micro-batch and pull-based streaming data ingestion within seconds. Storage engine with real-time upsert、append and pre-aggregation. Unparalleled performance in both real-time data serving and interactive ad-hoc queries.

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Unified

One platform for various analytics workloads

Not just structured but also semi-structured data. Not just real-time analytics but also batch processing. Not just run queries against internal data but also work as a federate query engine to access external data lakes and databases.

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Elastic

Elastic scaling for efficient resource management

Distributed design to support linear scalability. Whether on-premise deployment or cloud service, separation or integration of storage and compute, resource usage can be flexibly and efficiently adjusted according to workload requirements.

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Open

Open design simplifies system integration

Built on and fully compatible with open source Apache Doris. Support MySQL protocol, functions, and SQL for easy integration with other data tools. Provide open data API to be accessible for various external query engines.

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Modernize your analytics workloads with VeloDB

Compared to other products and technologies

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VeloDB empowers AI-driven decision-making across the world
AI Tech

VeloDB empowers AI-driven decision-making across the world

  • Enhanced data ingestion and analytic capabilities
  • Inverted index to accelerate keyword searches
  • Cloud-native architecture that separates compute and storage
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Increasing user profiling efficiency by 10 times with VeloDB
Social Platform

Increasing user profiling efficiency by 10 times with VeloDB

  • Join 10 billion rows and 1 billion tags in 3~5s, 10X user segmentation speed
  • Partial column update and real-time tag update for high data reliability
  • Cut server resource costs by over 40%
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Enabling real-time observability with VeloDB
Observability

Enabling real-time observability with VeloDB

  • High-throughput data writing, peak writing rate of 1GB/s, low latency
  • Reduce storage cost by 70% compared to Elasticsearch
  • Strong semi-structure data support, adaptive data field types
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