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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
7th
Average Rating
8.6
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Governance (24th), 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 (8th)
 

Mindshare comparison

As of May 2025, in the Web Analytics category, the mindshare of Segment is 3.8%, down from 6.8% compared to the previous year. The mindshare of Snowflake Analytics is 6.0%, down from 6.3% 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.
KamleshPant - PeerSpot reviewer
Data ecosystem thrives with advanced governance and streaming capabilities
It is a data offering where I can see data lineage, data governance, and data security. Snowflake has a streaming capability to work with real-time streaming data and delta tables. Additionally, task management, job scheduling, and connecting multiple data sources unify my data across internal and external sources. The system ecosystem for analytics is enhanced, and AI capabilities are incorporated.

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 solution auto-scales and it provides concurrency."
"The most valuable features of Snowflake for our data analytics are its time travel capability, allowing easy data recovery, and its automatic optimization of partitioning and clustering."
"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."
"One advantage is that installation is unnecessary since it's cloud-based. You subscribe to a Snowflake instance, configure it, and start using it. It's very user-friendly and allows you to scale up or down based on usage."
"Snowflake Analytics has a bright future and is capturing the market across various domains such as life sciences, BFSI, and supply chain."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"It's cloud-based technology, so users can spin it up a lot faster"
"Its performance speed is very good."
 

Cons

"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
"A room for improvement in Snowflake Analytics is Spark, particularly its connector for Spark. An additional feature I'd like to see in the next release of the solution is built-in analytics."
"The pricing visibility is complex. If you understand pricing, you can estimate costs, but if not, it can be challenging."
"Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable."
"The distribution methodology isn't as strong as Bethesda or SAP HANA. It's not as strong as other competitors."
"Snowflake's Snowpark is an area of concern where improvements are required."
"AIML-based SQL prompt and query generation could be an area for enhancement."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
"Snowflake could improve in the areas of advanced machine learning AML and generative AI."
 

Pricing and Cost Advice

"The pricing was on the higher side but it wasn't excessively high."
"The product's pricing is subjective."
"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."
"The solution's price is high and I would rate it an eight out of ten."
"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."
"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."
"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
"The cost of Snowflake Analytics is low, any small organization can use it."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
10%
Media Company
7%
University
7%
Computer Software Company
19%
Retailer
12%
Financial Services Firm
9%
Manufacturing 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 is better and cheaper than Redshift and other cloud warehousing systems. It's economical.
What needs improvement with Snowflake Analytics?
Most features are already available. Perhaps AIML integration might be further needed, or Snowflake is already implementing it. AIML-based SQL prompt and query generation could be an area for enhan...
 

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: April 2025.
851,371 professionals have used our research since 2012.