Timescaledb vs influxdb reddit. See these benchmarks and these case studies. Get an in-depth look at how two leading time-series databases stack up. InfluxDB really fails hard on any business intelligence level queries, whereas PostgreSQL excels in this regard. Jul 6, 2021 · TimescaleDB TimescaleDB is built on PostgreSQL, which has been continuously developed for over 25 years and has a central place in the architecture of many large companies like Uber, Netflix, Spotify or reddit. Jun 1, 2024 · InfluxDB, developed by InfluxData, offers real-time data storage optimized for high availability. InfluxDB just has too many quirks and shortcomings like unable to aggregate by month and can't do anything more than some basic math. See how InfluxDB and TimescaleDB compare on prices, features, scalability, and more using this side-by-side comparison. 0 and TimescaleDB 3. Mar 21, 2025 · Compare InfluxDB 4. This comparison aims to dissect their strengths and weaknesses to guide users in making informed decisions. Among other things VictoriaMetrics has the following features: It provides better on-disk data compression compared to InfluxDB and TimescaleDB It uses lower amounts of RAM compared to InfluxDB It provide better data ingestion speed and querying speed compared to InfluxDB and TimescaleDB. In short: it is boring and works. On the other hand, Timescale excels in handling time-series data with its horizontal scalability and columnar storage. This has created a fault-tolerant database that can scale horizontally across multiple servers. We compare data models, query language, reliability, performance, and more. InfluxDB Having both InfluxDB and PostgreSQL in my industrial environment, PostgreSQL + TimescaleDB really is the superior choice. Learn performance benchmarks, scaling, and which database fits your needs. . 0 for time-series data management in 2025. nagsgp rcd qvxjt yxca vsvf jpsw jclvzz zvrdcu jrbgd vwo