Building a Scalable Time-Series Data Platform with VictoriaMetrics, InfluxDB, and TimescaleDB - NextGenBeing Building a Scalable Time-Series Data Platform with VictoriaMetrics, InfluxDB, and TimescaleDB - NextGenBeing
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Building a Scalable Time-Series Data Platform with VictoriaMetrics, InfluxDB, and TimescaleDB

Learn how to build a scalable time-series data platform with VictoriaMetrics, InfluxDB, and TimescaleDB. Compare the performance and features of each database and discover the best option for your use case.

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NextGenBeing Founder

NextGenBeing Founder

Nov 29, 2025 3 views
Building a Scalable Time-Series Data Platform with VictoriaMetrics, InfluxDB, and TimescaleDB
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Introduction to Time-Series Data Platforms

When we scaled to 10M requests/day, our team discovered that our existing time-series data platform was struggling to keep up. We tried using InfluxDB 2.6 first, but it didn't quite meet our performance requirements. Here's what we learned when building a scalable time-series data platform with VictoriaMetrics 1.83, InfluxDB 2.6, and TimescaleDB 2.7.

The Problem with Traditional Time-Series Databases

Most traditional time-series databases are designed to handle small to medium-sized datasets. However, when dealing with large-scale time-series data, these databases often become bottlenecked. We experienced this firsthand when our InfluxDB 2.6 instance started to show significant latency and memory usage issues.

VictoriaMetrics 1.83: A High-Performance Time-Series Database

VictoriaMetrics 1.83 is a high-performance time-series database that is designed to handle large-scale datasets. We were impressed by its performance and scalability, especially when compared to InfluxDB 2.6.

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