Apache Doris 3.0.2 just released - Apache Doris
In this version, Apache Doris has improvements in compute-storage decoupling, data storage, lakehouse, query optimizer, query execution and more.| doris.apache.org
In this version, Apache Doris has improvements in compute-storage decoupling, data storage, lakehouse, query optimizer, query execution and more.| doris.apache.org
Serving a PB-scale data size with over 99.9% availability, Apache Doris is the vital signs monitor of MiniMax, a generative AI startup backed by Alibaba.| doris.apache.org
Dien Tran Thanh shares his firsthand experience, proven best practices, and insightful suggestions for migrating from BigQuery to Apache Doris to build a more cost-efficient data warehouse.| doris.apache.org
The built-in Doris Job Scheduler triggers pre-defined operations efficiently and reliably. It is useful in many cases including ETL and data lake analytics.| doris.apache.org
Apache Doris supports workload isolation based on Resource Tag and Workload Group. It provides solutions for different tradeoffs among the level of isolation, resource utilization, and stable performance.| doris.apache.org
Cross-cluster replication (CCR) in Apache Doris is proven to be fast, stable, and easy to use. It secures a real-time data synchronization latency of 1 second.| doris.apache.org
The insurance company uses Apache Doris, a unified data warehouse, in replacement of Spark + Impala + HBase + NebulaGraph, in their Customer Data Platform for 4 times faster customer grouping.| doris.apache.org
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.| doris.apache.org
A whole-journey guide for financial users looking for fast data processing performance, data security, and high service availability.| doris.apache.org
The user leverages the capabilities of Apache Doris in reporting, customer tagging, and data lake analytics and achieves high performance.| doris.apache.org
GuanceDB, an observability platform, replaces Elasticsearch with Apache Doris as its query and storage engine and realizes 70% less storage costs and 200%~400% data query performance.| doris.apache.org
What needs to be taken care of in IoV data analysis? What's the difference between a near real-time analytic data platform and an actual real-time analytic data platform?| doris.apache.org
This post is about building a unified OLAP platform. An insurance company tries to build a data warehouse that can undertake all their customer-facing, analyst-facing, and management-facing data analysis workloads.| doris.apache.org
A user of Apache Doris has written down their migration process from ClickHouse to Doris, including why they need the change, what needs to be taken care of, and how they compare the performance of the two databases in their environment.| doris.apache.org
This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real case practice in data ingestion, storage, and queries.| doris.apache.org
Dear community, we are excited to announce that Apache Doris 2.0.0 is now production-ready on August 16, 2023| doris.apache.org
This article introduces the lifecycle of financial metrics in a database, from how they're produced to how they're efficiently presented in data reports.| doris.apache.org
This article aims to provide reference for non-tech companies who are seeking to empower your business with data analytics.| doris.apache.org
Hot data is the frequently accessed data, while cold data is the one you seldom visit but still need. Separating them is for higher efficiency in computation and storage.| doris.apache.org
Think of your disks as a warehouse: The compaction mechanism is like a team of storekeepers who help put away the incoming data.| doris.apache.org
The recipe for successful A/B testing is quick computation, no duplication, and no data loss. For that, we used Apache Flink and Apache Doris to build our data platform.| doris.apache.org
Instead of pooling real-time and offline data after they are fully ready for queries, Douyu engineers use Apache Doris to share part of the pre-query computation burden.| doris.apache.org
The key step is to leverage the Multi Catalog feature of Apache Doris to unify the heterogenous data sources. This removed a lot of our performance bottlenecks.| doris.apache.org
In the upcoming Apache Doris 2.0, we have optimized it for high-concurrency point queries. Long story short, it can achieve over 30,000 QPS for a single node.| doris.apache.org
Evolution of the data processing architecture of Tencent Music Entertainment towards better performance and simpler maintenance.| doris.apache.org
This is about how Duyansoft improved its overall data processing efficiency by optimizing the choice and usage of data warehouses.| doris.apache.org
The value-added report provided by Linkedcare to customers was initially provided by ClickHouse, which was later replaced by Apache Doris| doris.apache.org
Established in 2015, LY Digital is a financial service platform for tourism industry under LY. Com. In 2020, LY Digital introduced Apache Doris to build a data warehouse because of its rich data import methods, excellent parallel computing capabilities, and low maintenance costs. This article describes the evolution of data warehouse in LY Digital and why we switch to Apache Doris.| doris.apache.org
This article mainly focuses on the practice of Apache Doris on Elasticsearch (DOE) in Kwai's business.Kwai’s commercial report engine provides advertisers with real-time query service for multi-dimensional analysis reports. And it also provides query service for multi-dimensional analysis reports for internal users. The engine is committed to dealing with high-performance, high-concurrency, and high-stability query problems in multi-dimensional analysis report cases. After using Doris, quer...| doris.apache.org
Xiaomi Group introduced Apache Doris in 2019. At present, Apache Doris has been widely used in dozens of business departments within Xiaomi. A set of data ecology with Apache Doris has been formed. This article is transcribed from an online meetup speech of the Doris community, aiming to share the practice of Apache Doris in Xiaomi.| doris.apache.org
Better data analysis enables users to get better experience. Currently, the normal analysis method is to build a user tags system to accurately generate user portraits and improve user experience. The topic we shared today is the practice of Netease DMP tags system.| doris.apache.org
