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Time-Series Database: An Explainer

Blog post from Tiger Data

Post Details
Company
Date Published
Author
Attila Toth
Word Count
2,883
Company Posts That Month
6
Language
English
Hacker News Points
-
Summary

A time-series database (TSDB) is a type of database specifically designed for handling time-stamped or time-series data. Time-series data includes server metrics, application performance monitoring data, network data, sensor data, and more. TSDBs are optimized to handle data that arrives in time order and are particularly designed to store, query, and analyze data points with a timestamp associated with them. The main advantage of TSDBs is that they can simplify data infrastructure by storing both historical (archives) and real-time data in one place, making it easy to compare the current state of your system with past situations. TSDBs can also automate time-based data management tasks, such as compressing old data to save on storage costs. Some popular TSDBs include TimescaleDB, InfluxDB, ClickHouse, and MongoDB. When evaluating database options, consider factors such as product stability, deployment model, query language, pricing models, scalability, and developer skill sets.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 4 1,490 391 141 -13%
AI Model Fine-tuning 1 No monthly metrics for this publish month.
Data Pipeline 1 742 92 41 +56%
Developer Experience 1 177 91 56 +9%
Kubernetes 1 1,392 141 63 0%
Observability 1 768 161 60 -27%
Serverless 1 537 125 66 +32%