Abstract: Technological advancement and surge in aerospace missions lead to a large variety and scale of environmental test data, dispersion of data sources, time-consuming and inconsistent styles of data processing software development, which makes it difficult to manage environmental test data consistently across different missions and to deal with decentralized data processing functions. To address the issues above, a set of environmental test data processing platforms based on time series databases and publish-subscribe mechanism were developed in this article. The set of platforms made use of a time series database to unify the storage and management of distributed and enormous amount of environmental test data, allowing for effective authoring and access to the data. Real-time data could be displayed quickly via a publish-subscribe mechanism. A large number of tasks including universal analysis, data processing and interpretation, text output, and report creation were accomplished, by thoroughly summarizing the data processing requirements of diverse missions. Finally, the platform’s implementation effect was demonstrated, which validated its engineering practicability.