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User Stories
Explore how VeloDB and Apache Doris deliver real-world outcomes in diverse industries
ObservabilityTalkie's Creator Migrates from Loki, Builds PB-scale Logging with Apache Doris.
- Responds to keyword searches and aggregation queries from 1 billion log records within 2 seconds.
- Deliver a log write throughput of 10 GB/s, while maintaining data latency within seconds.
- The data compression ratio reaches 5:1 and tiered storage further reduces storage costs by 70%.
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Real-Time AnalyticsJD Search Box's Real-Time Analytics Evolution with Apache Doris
- Handles 10 billion rows of logs daily.
- Achieves high throughput with 10,000 QPS and a minimum query latency of 150ms.
- Enables real-time data ingestion by 60 million rows per minute.
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Alternative to ElasticsearchSaving 80% costs by migrating from Elasticsearch to Apache Doris
- Storage usage has dropped by 72%, while the overall operational costs have been cut by up to 80%.
- Improves writing performance by 4x compared to Elasticsearch.
- A unified Doris-based data platform, eliminating data inconsistency issues.
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More Industry-Proven Solutions
User StoriesUnified Lakehouse with Apache Doris + Paimon: Xiaomi Achieves 6× Faster Performance
In this article, we will discuss in detail how Xiaomi built a unified lakehouse platform with Apache Doris and Apache Paimon, and share our learnings and optimizations developed along the way.2025/08/28VeloDB Engineering Team
User StoriesApache Doris Empowers Real-time Lakehouse in Cainiao's Large-Scale Business Scenarios
This step-by-step migration started in 2023, including validating Doris in a mission-critical scenario, expanding Doris's application scenarios, and executing full-scale deployment. Doris’s cost efficiency, stability, and operational efficiency have been powerfully proven. Currently, Doris powers over 10,000+ CPUs across 3 regions without any failure.2025/08/18VeloDB Engineering Team
User StoriesLeading Cloud Computing Service Provider Chose Apache Doris + Iceberg for Hyperscale Data Lakehouse
The world's cloud computing service giant chose Apache Doris + Apache Iceberg to upgrade its data platform into a flexible, efficient data lakehouse with low costs. This solution handles reporting and BI, federated analysis, log storage and analysis, and high-concurrency analysis. With Apache Doris, this company has successfully launched 20+ projects with 50+ clusters, 3000+ nodes, and over 15 petabytes of data.2024/08/14VeloDB Engineering Team
User StoriesApache Doris Empowered 5G Fully-Connected Factory with A Unified Real-time & Batch Data Platform
Lambda architecture's limitations led a top telecom company to adopt Apache Doris for its 5G factory's unified data platform. This move simplified data pipelines, cut costs, and improved real-time query performance. Now, Doris handles 70% of real-time ingestion and 90% of queries.2025/08/08VeloDB Engineering Team
User StoriesA telecom giant's journey from ClickHouse to Apache Doris: 13PB in one table
Currently, this solution has been deployed in more than ten production scenarios. The largest cluster is deployed on 117 high-performance server nodes and has been operating stably for over six months. Its single table contains over 13 petabytes of raw data and 534 trillion records, maintaining a daily data ingestion of about 145TB and peak loads of about 158TB during holidays.2025/08/04VeloDB Engineering Team
User StoriesFrom Snowflake to Apache Doris: real-time analytics with 80% cost savings
Parth Soni, a Senior Data Engineer at Planet, completed a real-world migration from Snowflake to Apache Doris. Following the migration, his team reduced their monthly costs from $25K to $5K, while gaining truly real-time data ingestion, 5x faster query performance across various scenarios, and up to 90x speed improvements for large-table analytics.2025/07/30VeloDB Engineering Team
User StoriesLeading AI Company Revamped Observability: 10x Faster Queries & 83% Cost Savings with Apache Doris
A leading AI and Speech Technology company upgraded its observability platform by replacing Elasticsearch and Loki with Apache Doris. This transition addressed critical issues of high storage costs with Elasticsearch and slow query performance with Loki.2025/07/28VeloDB Engineering Team
User StoriesHow SF Technology Replaced Presto with Apache Doris to Achieve 3x Faster Queries and 48% Cost Savings
SF Technology migrated its primary BI analytics platform from Presto to Apache Doris, supporting over 1 million daily queries. This strategic move solved critical issues with query speed, stability, and high costs.2025/07/27VeloDB Engineering Team
User StoriesKwai Replaced ClickHouse with Apache Doris for a Smart, Unified Lakehouse Architecture
Kwai, a leading social media platform, has replaced ClickHouse with Apache Doris to upgrade its OLAP system, now handling nearly 1 billion daily queries. This move shifts them from a complex lake-warehouse separation model to a unified lakehouse architecture. The new system leverages Doris's direct lake access and an intelligent auto-materialization service to solve critical issues of data redundancy, resource contention, and complex governance.2025/07/19VeloDB Engineering Team
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