---
title: Marple Reviews
meta_title: 'Marple Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how Marple works for a business like yours.
aggregate_rating:
  rating_value: 4.3
  review_count: 2
  scale: '5'
date_modified: '2025-10-31'
parent_category:
  name: Analytics Tools & Software
  url: https://www.g2.com/categories/analytics-tools-software
---


# Marple Reviews
**Vendor:** Marple  
**Category:** [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence)  
**Average Rating:** 4.3/5.0  
**Total Reviews:** 2
## About Marple
Marple is a web-based time series data analysis platform for engineering teams. Marple has a specific focus on sensor data coming from tests and measurements. Marple offers both data management and data analysis features. It is especially strong in the visualisation of large time series data sets. Data can be uploaded using various file formats, or a connection with an existing Influx Database can be made. Marple has a free plan for individual users and a paid plan for teams.




## Marple Reviews
  ### 1. Good experience with the fault detection

**Rating:** 4.0/5.0 stars

**Reviewed by:** Rishi V. | Salesforce Lead, Mechanical or Industrial Engineering, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 19, 2023

**What do you like best about Marple?**

The way it handles the fault.it helps in detection in the flow

**What do you dislike about Marple?**

Nothing. Good for the beginners as well.

**What problems is Marple solving and how is that benefiting you?**

The fault detection process. It helps me get the accurate data



- [View Marple pricing details and edition comparison](https://www.g2.com/products/marple/reviews?filters%5Bnps_score%5D%5B%5D=4&section=pricing&secure%5Bexpires_at%5D=2026-08-13+20%3A22%3A44+-0500&secure%5Bsession_id%5D=a3f64eea-f74c-4ff1-8685-1323d1878fbc&secure%5Btoken%5D=a04ee55309ea03fbe6f000e2a8b6e06a5f0dc9e7266cd6c1e1c3f8933d6ca164&format=llm_user)


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