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Segment vs Snowflake Analytics comparison

 

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

Segment
Ranking in Web Analytics
6th
Average Rating
8.6
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Governance (26th), Customer Data Platforms (CDP) (1st)
Snowflake Analytics
Ranking in Web Analytics
1st
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
40
Ranking in other categories
Cloud Data Warehouse (9th)
 

Mindshare comparison

As of July 2025, in the Web Analytics category, the mindshare of Segment is 4.1%, down from 6.0% compared to the previous year. The mindshare of Snowflake Analytics is 4.9%, down from 6.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Web Analytics
 

Featured Reviews

VikasAgarwal - PeerSpot reviewer
Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work well if they fit your needs, but if you need something custom, you can't rely on the SDKs and have to use recipes. And using those recipes extensively isn't ideal. For example, we were getting leads from the D2C application, sending them to Segment, and then from Segment to HubSpot. If Segment could mimic HubSpot's API, we could leverage HubSpot's SDK capabilities even through Segment. But Segment's API is generic, so it doesn't do anything tailored to HubSpot. As a product designer, I know that would be hard to accomplish anyway. It's not a criticism, because I would probably design it the same way. But as a consumer, I don't care how it's designed; I care if it fits my use case. If not, how much effort will it take to make it work? That was the challenging part. It took a lot of time to integrate Segment and make it communicate with HubSpot in a certain way. So, the challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations. From my experience, it's mostly fine. It could benefit from more customization capabilities. The product itself is good, but it would be awesome if it allowed you to write your own extensions to augment the CDP's capabilities. And another suggestion. It's not about a missing feature, but rather something Segment is doing that I personally don't think a CDP should do. It's like a mobile phone you use for watching videos, listening to music, and making calls. But to be a good mobile phone, you need to be the best at making and receiving calls, and texting. Everything else is a distraction. Instead of optimizing for those distractions, you should solidify the basics. To illustrate this, Segment has many capabilities that overlap with things like CRMs, campaign management systems, tracking systems, and so on. These capabilities can give a small startup a real kick-start, but as you scale, the capabilities other than the core CDP features don't scale as well. For example, it does campaign management, but it's not really a full-fledged campaign management system. When you're starting out, it's fine, it's great, it fits almost all your use cases. But as you grow from a two-person organization to a 300-person organization, you'll have to deal with more complexity. You'll likely need to look for a dedicated campaign management system and integrate it with Segment. Now, if you've been using Segment's campaign management for a long time, moving that part to a different system will be a roadblock.
Paresh_Nayak - PeerSpot reviewer
Enables data-driven decision-making with robust features and effective scalability
The internal design engine and the columnar database are particularly valuable. These features reduce input and output memory, which is crucial in handling large data sets. The solution fulfills the business requirement for scaling and analytics. Snowflake Analytics supports data security with a single sign-on feature and complies with framework regulations, which is highly beneficial.

Quotes from Members

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

Pros

"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
"The most important feature is the warehouse functionality."
"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."
"Snowflake Analytics' predictive analytics elements, which incorporate AI, are good and easy to integrate."
"It's not necessary to use a physical server."
"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."
"It ensures the optimization of the application development while maintaining the user-friendly nature of its UI."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."
 

Cons

"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
"The platform could work easier for AI implementation compared to one of its competitors."
"One notable absence in Snowflake's offerings is an on-premises solution."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
"Improvements are needed in importing and exporting large datasets to and from reporting tools."
"If you have a lot of computations, it becomes very costly."
"The solution needs to consider including some updates in the future."
"When we insert data into a large table, it takes a lot of time."
"The UI could be more user-friendly."
 

Pricing and Cost Advice

"The pricing was on the higher side but it wasn't excessively high."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
"When using Snowflake, you pay based on your usage. They calculate how much CPU has been used. If you use excess warehouse storage, you are charged one credit per hour. If you are in Asia, you are charged $3 per credit. If you have 10 users running parallel with the same excess, you will be charged $30."
"The product's pricing is subjective."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."
"The solution's pricing is affordable."
"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
9%
Media Company
7%
Manufacturing Company
5%
Computer Software Company
16%
Retailer
10%
Financial Services Firm
10%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Segment?
I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort requ...
What is your experience regarding pricing and costs for Segment?
The pricing was on the higher side but it wasn't excessively high. It's definitely not tailored for the smallest businesses, but it's well-suited for setups that anticipate significant growth.
What needs improvement with Segment?
The main challenge is that the SDKs are pretty similar across programming languages, and they're not super flexible. They might not support certain use cases. It has a set of functions that work we...
What is your experience regarding pricing and costs for Snowflake Analytics?
Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.
What needs improvement with Snowflake Analytics?
The advantages of Snowflake Analytics outweigh the disadvantages. However, if it offered flexibility similar to Oracle and supported more heterogeneous data sources and database connectivity, it wo...
 

Comparisons

 

Also Known As

Segment.io
No data available
 

Overview

 

Sample Customers

Nokia, rdio, Bonobos, LiveNation, Atlassian
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Segment vs. Snowflake Analytics and other solutions. Updated: June 2025.
860,711 professionals have used our research since 2012.