Insights Hub vs Snowplow comparison

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Insights Hub

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Executive Summary

We performed a comparison between Insights Hub and Snowplow based on real PeerSpot user reviews.

Find out in this report how the two AWS Marketplace solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Insights Hub vs. Snowplow Report (Updated: September 2026).

Insights Hub vs. Snowplow

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Helped 915,341 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Insights Hub

Ranking in AWS Marketplace

10th

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Snowplow

Ranking in AWS Marketplace

21st

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the AWS Marketplace category, the mindshare of Insights Hub is 0.2%, down from 5.0% compared to the previous year. The mindshare of Snowplow is 0.2%, down from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AWS Marketplace Mindshare Distribution
Product	Mindshare (%)
Insights Hub	0.2%
Snowplow	0.2%
Other	99.6%

AWS Marketplace

Featured Reviews

PaulT

OT Expert at a manufacturing company with 10,001+ employees

Energy dashboards have given us clear cost insights and guide data driven production decisions

I hope Insights Hub can support a UMS idea and solution in the future. If we have a UMS hub or data center, Insights Hub could integrate with our database, allowing us to share one data center regardless of whether it is our MES system, SCADA system, or Insights Hub, which would be more efficient for a global company. Insights Hub could connect to our UMS data center, which would eliminate the need to rebuild a connection between the shop floor and Insights Hub. Additionally, Insights Hub could support MES functions, allowing us to integrate with the production line and transfer the ERP order from the ERP to our shop floor, thus helping the ERP be more efficient. This would include performing a buy-off from the shop floor to the ERP and adjusting the production plan for the ERP production order for greater efficiency in our production planning. I hope we can achieve MES functions in an IoT solution such as Insights Hub. One point I am not so satisfied with regarding Insights Hub is the gateway, which I believe runs on a Linux or Unix OS but does not display well for our end-users. This requires us to ask for help and support from our IT department as we cannot perform what we can do with a Windows device, such as RDP to the gateway and monitor any issues inside. Sometimes we do not know the issue exactly and have to check the log, which is very complex for the end-user.

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Neha Lall

Product Analytics Lead at MSE Technology

Granular behavioral tracking has transformed how we understand user journeys and optimize funnels

Snowplow could be improved in a couple of areas. The Snowplow team is readily available and proactive, always jumping on calls to make changes, especially how we track consent and non-consent data for the EU market. One area of improvement could be its vast canvas, which might feel overwhelming and confusing to people who are less technical or are not sure how to best structure their data. Although Snowplow is powerful, getting value from this granular event data does require strong SQL skills and knowledge of the underlying data model. Therefore, making the data more accessible to less technical users could enhance intuitive self-service exploration, funnel visualization, and easier debugging of tracking issues, allowing product teams to gain insights without relying heavily on analysts. Snowplow could also automate most processes and implement smarter monitoring alerts for fallback. Better documentation and easier debugging when event tracking or schemas change would help, given that managing event definitions centrally can be a hassle when there is a breaking change. Having automated systems to inform users about changes in events or properties would make things smoother across teams.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Insights Hub has provided significant positive impact to my organization, including 30 to 50 percent faster incident resolution, fewer SEV one outages, reduced alert fatigue by 20 to 30 percent, better SLA compliance, and increased customer satisfaction."

"Insights Hub is a good IoT solution and cloud solution, with easy to normal implementation difficulty for a company, and it can provide some help for our company to do modifications or adjustments."

"Given that great variety and diversity of machines, the main characteristic of Insights Hub is that it allows me to talk to that diversity of machines, and therefore I can extract data from them and monitor my plant without needing to use additional developments or additional configurations."

"Insights Hub is an overall major good framework for everybody to monitor the shop floor."

"We have a lot more insight into our user behaviour and can now make the correct decisions."

"On a broader level, Snowplow has brought a lot of credibility to the analysis and dashboards that I have created, with the biggest positive impact being that it gives us reliable, centralized behavioral data that teams can use consistently."

"Snowplow is excellent at what it is designed for: full control over data collection and processing, strong schema-driven tracking, and works really well with warehouse-first stacks like Google BigQuery."

"Snowplow is doing perfectly what it says it is doing; it meets everything it promises and develops the product all the time."

"Snowplow has impacted my organization positively, very well. For DPG Media, it is the most important data source that we have, delivering a lot of value in the company."

"Snowplow has positively impacted my organization by enabling me to see user behavior in real time."

Cons

"Insights Hub has a connection with Grafana, but I would like it to be improved."

"One point I am not so satisfied with regarding Insights Hub is the gateway, which I believe runs on a Linux or Unix OS but does not display well for our end-users."

"The learning curve is steep as it requires skill to fully utilize and is not very beginner-friendly, and querying can be complex."

"As of now, Insights Hub is an under-developed platform, so there is no organization-level impact."

"Setup is challenging because getting the pipeline infrastructure right is hard."

"One area of improvement could be its vast canvas, which might feel overwhelming and confusing to people who are less technical or are not sure how to best structure their data."

"Maintenance overhead was high, debugging and schema management were time-consuming, and there were increasing security concerns due to it no longer being actively maintained."

"The only issue that we had at a certain moment was that Snowplow was offering more services and asking us to pay more, but we did not use all these services."

"Snowplow can be improved by reducing the pricing, as it is currently too high."

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Top Industries

By visitors reading reviews

Insurance Company

64%

Construction Company

11%

Comms Service Provider

Outsourcing Company

Construction Company

33%

Insurance Company

27%

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	4

No data available

Questions from the Community

What needs improvement with Insights Hub?

Insights Hub has a connection with Grafana, but I would like it to be improved.

What is your primary use case for Insights Hub?

Insights Hub is used for monitoring equipment in the plant, mainly for OEE calculation. Within Insights Hub, Mendix has an application called OEE Hub, which allows me to connect the machines to the...

What advice do you have for others considering Insights Hub?

I gave Insights Hub a rating of nine out of ten.

What is your experience regarding pricing and costs for Snowplow?

The setup cost is very fair and reasonable.

What needs improvement with Snowplow?

What is your primary use case for Snowplow?

I have been using Snowplow for the past four or five years. We migrated from Google Analytics to Snowplow, and our main use case for Snowplow is for tracking events for instrumentation. We also use...

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Insights Hub

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Overview

Insights Hub is a robust platform for data management and analytics, designed to assist businesses in making informed decisions. It provides comprehensive tools that enable users to leverage data effectively, enhancing their ability to streamline and optimize processes.

Insights Hub caters to a variety of industries by offering scalable solutions tailored to specific needs. The platform enables users to integrate and analyze large sets of data seamlessly, providing clarity and actionable insights. By combining advanced data processing capabilities with intuitive dashboards, it fosters improved decision-making, aiding businesses in capitalizing on market opportunities and enhancing overall efficiency.

What are the valuable features of Insights Hub?

Data Integration: Effortlessly aggregates and harmonizes data from diverse sources.
Advanced Analytics: Offers powerful tools for predictive and prescriptive analysis.
Customizable Dashboards: Provides user-friendly interfaces for personalized data visualization.
Real-time Reporting: Facilitates immediate insights to support swift decision-making.
Scalability: Adapts to growing data needs without compromising performance.

What benefits or ROI should be considered?

Increased Efficiency: Streamlines operations through automated data processes.
Cost Reduction: Minimizes expenses by optimizing resource allocation and usage.
Improved Decision-Making: Enhances strategies with detailed insights and forecasts.
Competitive Advantage: Identifies market trends to capitalize on emerging opportunities.
Enhanced Collaboration: Promotes teamwork through shared access to data insights.

Insights Hub is implemented across key sectors including finance, healthcare, and manufacturing. In finance, it aids in risk management and compliance by providing accurate forecasts. Healthcare benefits from its ability to analyze patient data for improved treatment outcomes. Manufacturing firms use its predictive analytics to enhance production processes and reduce costs.

Siemens

Snowplow is a data collection platform known for its ability to gather rich, event-level data across websites and applications in real-time, offering unique insights and advanced analytics capabilities for users.

Snowplow provides a powerful framework for capturing and managing complex data streams. Its architecture supports the collection, storage, and processing of high-quality, granular data. Users benefit from the high level of detail it provides, which enables sophisticated analytics and supports data-driven decision making. With Snowplow, organizations can gain a clearer understanding of user behavior and refine their marketing strategies efficiently.

What are the key features of Snowplow?

Real-Time Data Collection: Allows immediate insights and faster reaction times.
Scalable Architecture: Supports growing data needs without compromising performance.
Data Enrichment: Enhances raw data with added context for deeper insights.
Open Source: Provides flexibility and customization opportunities for users.
Privacy Compliance: Ensures data handling aligns with privacy regulations.

What are the benefits to consider?

Improved Analytics Accuracy: Detailed data collection delivers more precise insights.
Enhanced Decision Making: Actionable data leads to informed business strategies.
Cost-Efficiency: Focused data processing can optimize operating costs.
Customizable Data Pipelines: Tailors data streams to business requirements.

Industries implement Snowplow by integrating it with their existing data infrastructure to complement their analytics and intelligence operations. For e-commerce, Snowplow helps in understanding customer journeys, while in finance, it assists with risk assessment and fraud detection. In media, it supports content personalization by analyzing viewer preferences and engagement.

Insights Hub vs. Snowplow