Time-Series Database

This blog explores the differences between InfluxDB and TimescaleDB, two leading open-source time-series databases. InfluxDB is purpose-built for high-ingestion, real-time workloads like IoT and monitoring, offering speed and simplicity through InfluxQL and Flux. TimescaleDB, built as a PostgreSQL extension, combines time-series performance with full SQL support, making it ideal for hybrid workloads that mix relational and time-series data. The takeaway: choose InfluxDB if you need raw ingestion speed, or TimescaleDB if you want SQL compatibility, long-term scalability, and integration with relational ecosystems.

TimescaleDB is a PostgreSQL-based open-source database designed for time-series workloads. This blog explores its top use cases, including IoT sensor data, DevOps monitoring, financial analytics, application performance monitoring, industrial telemetry, and real-time dashboards. With its SQL-first approach, scalability, and seamless integration, TimescaleDB is a powerful choice for organizations managing massive time-stamped datasets.

Discover the complete guide to open-source databases in 2025 — including SQL, NoSQL, Time-Series, Graph, and Vector databases. Learn use cases, best options, and how to choose the right one for your applications.

In today’s data-driven world, businesses are generating massive amounts of time-stamped data from various sources like IoT devices, applications, and cloud-native services. Managing and analyzing this data in real-time is critical for making informed decisions. Enter InfluxDB, a powerful open-source time series database designed to handle high-velocity data with precision and efficiency. At OctaByte, we specialize in deploying and managing open-source software like InfluxDB, ensuring that your data infrastructure is robust, scalable, and hassle-free. In this blog post, we’ll dive deep into what makes InfluxDB a standout choice for real-time analytics, IoT, and cloud-native services, and how it compares to other databases. ...

In today’s data-driven world, monitoring and observability are critical for ensuring the reliability and performance of modern applications. Prometheus has emerged as a leading open-source monitoring tool, but as organizations scale, they often face challenges with storing and querying large volumes of metrics data. Enter M3DB, a distributed, scalable, and cloud-native time-series database designed to address these challenges. In this blog post, we’ll explore what makes M3DB a game-changer for Prometheus monitoring and how it compares to other time-series databases. ...