What is Automated Test Reports by Marple?
CI/CD pipelines for time series data. Define your tests and failure criteria, Marple evaluates them for each new dataset.
Problem
In traditional CI/CD pipelines, handling time series data can be challenging due to the complexity of defining tests and failure criteria for each new dataset, leading to potential inaccuracies and inefficiencies in data testing processes. Handling time series data in CI/CD pipelines.
Solution
Marple offers an automated dashboard tool where users can define tests and failure criteria for time series data. It automatically evaluates these criteria against each new dataset, optimizing data testing efficiency within CI/CD pipelines. Automatically evaluate criteria against each new dataset.
Customers
Data scientists, data engineers, and developers involved in projects that require frequent interaction with time series data, particularly those working in industries like finance, energy, and IoT. Data scientists, data engineers, and developers.
Unique Features
The unique aspect of Marple is its focus on time series data within CI/CD pipelines, providing tailored testing and failure criteria evaluation, which is not commonly found in generic CI/CD solutions.
User Comments
Users appreciate the focus on time series data
Positive feedback on the automation of tedious testing processes
Highlighted as a solution that saves time and improves accuracy
Valued for its integration capabilities with existing CI/CD workflows
Some users call for more detailed documentation and support
Traction
As of the latest update, specific quantitative data such as the number of users, MRR, or funding status was not provided. Further details might be available directly from the product website or communication with its creators.
Market Size
The global time series data management market is expected to grow significantly, though specific figures are difficult to ascertain. Comparable, the Big Data market is projected to reach $103 billion by 2027, indicating a substantial potential market for time series data solutions.
