In this episode I am talking to Javier Ramirez from QuestDB, about everything QuestDB. This episode is a great resource to understand how QuestDB works, its architecture, what is it optimised for and whats upcoming as per the roadmap.
If you have timeseries data and need a simple yet highly scalable solution, #QuestDB is a great option.
Chapters:
00:00 Introduction
03:04 Understanding QuestDB: Origins and Use Cases
09:21 Deep Dive into QuestDB's Architecture and Data Ingestion
19:07 Optimizing Data Reads and Writes in QuestDB
28:40 Exploring Data Granularity and Partitioning in QuestDB
29:29 Optimizing Query Performance with Partition Strategies
30:26 Handling Data Ingestion and Query Efficiency
32:58 In-depth Look at Data Duplication and Ingestion Performance
34:55 Understanding Compression and Its Impact on Performance
38:51 Replication and Data Distribution Strategies
47:10 Observability and Metrics in QuestDB
50:57 Future Developments and Enhancements in QuestDB
58:45 Closing Remarks
Links:
QuestDB: https://questdb.io/
Github: https://github.com/questdb/questdb
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