List of the Top 3 Time Series Databases for Google Cloud Bigtable in 2025

InfluxDB is a specialized data platform crafted to manage all types of time series data, encompassing users, sensors, applications, and infrastructure, allowing for the seamless collection, storage, visualization, and transformation of insights into actionable strategies. It features a comprehensive library of over 250 open-source Telegraf plugins, simplifying the process of importing and monitoring data from a variety of systems. By empowering developers, InfluxDB facilitates the creation of innovative IoT, monitoring, and analytics applications and services. Its adaptable architecture can accommodate various implementations, whether in the cloud, at the edge, or on-premises. Moreover, its versatility, ease of access, and an array of supporting tools such as client libraries and APIs enable developers of all experience levels to swiftly create applications and services utilizing time series data. The platform is optimized for enhancing developer productivity and efficiency, allowing builders to concentrate on the essential features that add value to their internal projects and provide their applications with a competitive advantage. To assist newcomers, InfluxData provides complimentary training through InfluxDB University, ensuring that anyone can quickly acquire the skills needed to leverage this powerful platform effectively.

OpenTSDB consists of a Time Series Daemon (TSD) and a collection of command line utilities. Users mainly interact with OpenTSDB by managing one or more standalone TSDs, which operate without a centralized master or shared state, thereby providing the flexibility to run numerous TSDs as required to handle different workloads. Each TSD relies on HBase, an open-source database, or the Google Bigtable service for the effective storage and retrieval of time-series data. The data schema is optimized for performance, allowing for quick aggregations of similar time series while also reducing storage needs. Users can access the TSD without requiring direct interaction with the backend storage system. Communication with the TSD is facilitated via a simple telnet-style protocol, an HTTP API, or an intuitive built-in graphical user interface. To start using OpenTSDB, users must first send time series data to the TSDs, and there are numerous tools designed to help import data from various sources into the system. Ultimately, OpenTSDB's architecture prioritizes both flexibility and efficiency in the management of time series data, making it a robust solution for diverse user needs.

Heroic is an open-source monitoring tool that was originally crafted at Spotify to address difficulties associated with the vast-scale gathering and near real-time evaluation of metrics. It consists of a small set of specialized components, each designed for specific functions within the system. Heroic provides unlimited data retention, provided there is sufficient investment in hardware, as well as federation capabilities that allow multiple Heroic clusters to interconnect and offer a cohesive interface. A pivotal feature, known as Consumers, is responsible for the ingestion of metrics, showcasing the system's emphasis on operational efficiency. Throughout Heroic's development, it became clear that overseeing hundreds of millions of time series without adequate context presents notable hurdles. Furthermore, the federation support enhances the system's ability to manage requests across different independent Heroic clusters, enabling them to deliver services to clients through a single, global interface. This not only optimizes operations but also reduces cross-regional traffic, as each cluster can operate autonomously within its specific area. As a result, Heroic stands out as a powerful solution for organizations seeking effective monitoring tools, capable of adapting to diverse operational needs. The combination of these features makes Heroic a compelling choice for enterprises aiming for scalable and efficient monitoring capabilities.