Apache Doris: A Better Alternative to Elasticsearch

Recap

In the past year, the Apache Doris community has welcomed an increasing number of users looking to replace Elasticsearch with Apache Doris, so we hope to answer the questions regarding the comparison between the two products. Kang (Owen) Xiao, Apache Doris PMC member, will provide a well-rounded comparison of Apache Doris and Elasticsearch and introduce Apache Doris use cases at well-known tech giants in observability, cybersecurity, and business data analysis.

Slides Download: Why Choose Apache Doris Over Elasticsearch Blog: Why Apache Doris is a better alternative to Elasticsearch for Real-Time Analytics

What to Expect

• Comparison of Apache Doris and Elasticsearch in open source license, system architecture, real-time data writing performance, storage efficiency, and query speed
• Benchmark performance of Apache Doris and Elasticsearch in data ingestion and queries
• How Apache Doris and Elasticsearch support schema changes
• Data analytics capabilities of Apache Doris and Elasticsearch
• User success stories of Apache Doris from world-leading live commerce providers, game companies, cyber security solution providers, and more

Speakers

Owen Xiao

Apache Doris PMC member

Owen, also known as "Kang" in the Apache Doris community (on Slack and GitHub), is an expert in semi-structured data analysis. He has spearheaded the development of many highly sought-after features of Apache Doris, such as the VARIANT data type.

Kevin Li

Senior Solution Architect

As Senior Solution Architect at VeloDB, Kevin has helped countless Apache Doris and VeloDB users get on track and maximize the potential of their use cases.