Cube is a system for collecting timestamped events and deriving metrics. By collecting events rather than metrics, Cube lets you compute aggregate statistics post hoc. It also enables richer analysis, such as quantiles and histograms of arbitrary event sets. Cube is built on MongoDB and available under the Apache License on GitHub.
Want another awesome Cube alternative? Look no further. We researched the top alternatives and found several new Cube alternatives that work with your platform or device. If you want even more options, we've also reviewed top Cube-like software for your Mac, Windows PC, Android phone/tablet, Linux computer, or iPhone.
Graphite is a highly scalable real-time graphing system. As a user, you write an application that collects numeric time-series data that you are interested in graphing...
ATSD is purpose-built for analyzing and reporting on massive volumes of time-series data collected at high frequency. Features include data analytics, visualization...
Features:
OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics...
An open-source in-memory database for time-series data made by Facebook.
Reconnoiter is a monitoring and trend analysis system designed to cope with large architectures (thousands of machines and hundreds of thousands of metrics). Heavy...
A relaxing hosted time series database. TSDB with sophisticated querying, joining and aggregation via HTTP REST API. Storage from 1 GB to Terabytes. On-Demand and...
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