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Snowplow vs Voyage AI comparison

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Comparison Buyer's Guide

Executive Summary

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

Snowplow
Ranking in AWS Marketplace
21st
Average Rating
8.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Voyage AI
Ranking in AWS Marketplace
39th
Average Rating
7.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the AWS Marketplace category, the mindshare of Snowplow is 0.2%, down from 0.8% compared to the previous year. The mindshare of Voyage AI is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Snowplow0.2%
Voyage AI0.2%
Other99.6%
AWS Marketplace
 

Featured Reviews

Neha Lall - PeerSpot reviewer
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.
Chirag Morajkar - PeerSpot reviewer
Lead Ai Tech And Tech Automation Engineer at a individual & family service with 11-50 employees
Automation workflows have transformed resume screening and document chat into accurate, low-cost flows
Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced. I felt this need while using Voyage AI. I recognize that it is still growing, which is acceptable for a user like me, but enhancing documentation would greatly help developers or technical personnel. One more improvement could be native integration. For example, when using Voyage AI through make.com, which is an automation platform I regularly use, integration is possible only through APIs. This requires more time for setup and handling configurations. If Voyage AI had a native integration with make.com, similar to how OpenAI's ChatGPT operates, it would streamline the onboarding process very effectively. Other improvements needed for Voyage AI include enhanced documentation, native integration, and potentially video tutorials for each model or feature that they add. Short videos could significantly aid developers who might be lost or unfamiliar with updates since staying up to speed can be challenging.

Quotes from Members

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

Pros

"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."
"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 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 is doing perfectly what it says it is doing; it meets everything it promises and develops the product all the time."
"Snowplow has positively impacted my organization by enabling me to see user behavior in real time."
"We have a lot more insight into our user behaviour and can now make the correct decisions."
"Voyage AI has improved time, manual efforts, and employee satisfaction, and for this type of use case, Voyage AI is the best option available because the time it takes for answering questions reduces, employees no longer need to raise many tickets for simple queries, and it provides an answer in a single question and a single click without waiting for HR to respond."
"The best feature Voyage AI offers is its text embedding, whose quality is very good and crucial, and I think Voyage AI has excelled in text understanding and contextual comprehension."
"I have significantly increased my outputs around 60-70%, making them much more accurate than before, and the context and semantic meaning have increased substantially."
 

Cons

"Setup is challenging because getting the pipeline infrastructure right is hard."
"Snowplow can be improved by reducing the pricing, as it is currently too high."
"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."
"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."
"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."
"I have not been frustrated with Voyage AI, but some enterprises will not share their data because they keep their data within their own infrastructure."
"Improvement can be made in the documentation aspect, which definitely needs to be updated or enhanced."
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Top Industries

By visitors reading reviews
Construction Company
33%
Insurance Company
27%
Outsourcing Company
9%
Comms Service Provider
7%
Construction Company
45%
Comms Service Provider
8%
Outsourcing Company
7%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Snowplow?
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 ...
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...
What is your experience regarding pricing and costs for Voyage AI?
My experience with costing information, overall it is good as for as now. We got free tokens around 200 million at start. we paid approximately $0.12 per million tokens depending on the model. It i...
What needs improvement with Voyage AI?
Voyage AI's SDK support is limited to Python and JavaScript, so teams using other languages need custom wrappers to integrate it. Rate limiting also feels outdated, requiring manual static wait per...
What is your primary use case for Voyage AI?
My main use case for Voyage AI is converting text into embeddings so that it can be searched efficiently. I can provide a specific example of how I use Voyage AI for text-to-embedding through Retri...
 

Comparisons

No data available
 

Overview

Find out what your peers are saying about Snowplow vs. Voyage AI and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.