Why Redis Stack for Time Series?
Redis Stack, with its high-performance capabilities, can ingest and process large volumes of data efficiently. As you delve deeper into this chapter, you will learn about various built-in features that Redis Stack provides for working with time-series data:
- High-performance: Redis Stack for Time Series is designed to provide high-speed data ingestion, querying, and processing, leveraging the in-memory nature of Redis.
- Data retention policies: Redis Stack for Time Series allows you to set data retention policies to automatically expire older data points based on time. This helps to manage storage efficiently, especially when dealing with large volumes of time-series data.
- Downsampling and aggregation: Redis Stack for Time Series provides built-in support for data aggregation and downsampling, allowing you to reduce the granularity of data and store aggregated values over time. The available aggregation functions include average, minimum...
