Top Cube Alternatives: Finding the Best Event & Metric Collection Tools
Cube is a robust system for collecting timestamped events and deriving metrics, allowing for post hoc aggregate statistics and richer analysis like quantiles and histograms. Built on MongoDB and available under the Apache License on GitHub, it's a powerful tool. However, for various reasons—whether you need different platform support, a specific feature set, or a different licensing model—you might be looking for a Cube alternative. This article explores some of the top contenders that offer similar, or even enhanced, capabilities for your event and metric collection needs.
Top Cube Alternatives
Whether you're seeking open-source flexibility, commercial support, or specific performance characteristics, there's a powerful time-series database or monitoring system out there that can serve as an excellent alternative to Cube. Let's dive into some of the best options available.
Graphite
Graphite is a highly scalable real-time graphing system that makes it easy to collect and visualize numeric time-series data. It's an excellent open-source Cube alternative available on Mac and Linux, primarily written in Python, making it a great choice for developers already familiar with the language and looking for a robust, free solution for data graphing.
OpenTSDB
OpenTSDB is a distributed, scalable Time Series Database (TSDB) built on top of HBase, specifically designed to store, index, and serve metrics. As a free and open-source solution available on Linux, OpenTSDB is a strong Cube alternative for those requiring a highly scalable and distributed database for their time-series data, particularly in large-scale environments.
Axibase Time Series Database
Axibase Time Series Database (ATSD) is purpose-built for analyzing and reporting on massive volumes of high-frequency time-series data. Featuring comprehensive data analytics, visualization, and hardware monitoring capabilities, ATSD is a powerful free and self-hosted Cube alternative for Linux users seeking an all-in-one solution for their time-series data management.
TimeSeries.Guru
TimeSeries.Guru offers a relaxing hosted time-series database experience with sophisticated querying, joining, and aggregation via an HTTP REST API. Available as a commercial web-based platform, it provides scalable storage from 1 GB to Terabytes on-demand. This makes TimeSeries.Guru an excellent commercial Cube alternative for those who prefer a managed service with robust database features and don't want to handle self-hosting.
Reconnoiter
Reconnoiter is a monitoring and trend analysis system designed to handle large architectures, supporting thousands of machines and hundreds of thousands of metrics. As a free and open-source solution available on Linux, Reconnoiter serves as a powerful Cube alternative for organizations dealing with extensive infrastructure and requiring robust monitoring capabilities for their time-series data.
Beringei
Beringei is an open-source in-memory database for time-series data, developed by Facebook. As a free and open-source solution for Linux, Beringei is an intriguing Cube alternative, especially for those looking for a high-performance, in-memory database to manage their time-series data efficiently, potentially offering significant speed advantages for specific use cases.
Choosing the right Cube alternative depends entirely on your specific requirements, including scalability needs, platform preferences, budget, and desired features. We encourage you to explore these options further to find the best fit for your event and metric collection infrastructure.