Segment vs Snowflake Analytics comparison

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823 views|737 comparisons
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625 views|425 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Segment and Snowflake Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Google, Amplitude and others in Web Analytics.
To learn more, read our detailed Web Analytics Report (Updated: March 2024).
768,415 professionals have used our research since 2012.
Featured Review
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."

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"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost.""Very good flexibility and it offers computation completely decoupled from the storage.""Considering everything I have accessed, the product's dashboard is good since it provides multiple good options, including customization options.""It helps with business intelligence by providing analytics that can be reported.""The computational power of Snowflake is very good.""Scalability-wise, I rate the solution a ten out of ten.""It is an all-in-one platform that provides the capabilities needed for various analytics tasks, including data warehousing for machine learning.""The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for dashboarding purposes."

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Cons
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."

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"Snowflake's Snowpark is an area of concern where improvements are required.""Snowflake Analytics can improve the integration with machine learning tools and AI and it will make the solution more usable.""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.""The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.""End-to-end execution of jobs isn't possible with Snowflake, which means we have to do some customization.""The tool should support EIM use cases. I guess the product is already working on it. I look forward to seeing inbuilt AI generative tools in the solution's future releases. The tool's price can be a little lower. The solution's on-premises support is also very limited. We have to rely on other support services to deploy it on-premises.""The platform's data governance space needs more capability."

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Pricing and Cost Advice
  • "The pricing was on the higher side but it wasn't excessively high."
  • More Segment Pricing and Cost Advice →

  • "Snowflake Analytics is a little more costly than Azure."
  • "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 cost of Snowflake Analytics is low, any small organization can use it."
  • "The solution's price is high and I would rate it an eight out of ten."
  • "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."
  • "It is an expensive solution, but the kind of usability and flexibility it proactively provides for the organizations justify the price."
  • "The tool is quite expensive."
  • "Snowflake Analytics is not an expensive solution, and its pricing is average."
  • More Snowflake Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer: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.
    Top Answer: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… more »
    Top Answer:The Snowflake features I find most beneficial for data analysis are primarily related to analytics, particularly their features like materialized views and queues, which are especially useful for… more »
    Top Answer:The pricing is on the higher side. I would rate it seven out of ten.
    Top Answer:The scheduling of jobs requires improvement, particularly in terms of the user interface which currently lacks certain features found in comparable platforms.
    Ranking
    5th
    out of 32 in Web Analytics
    Views
    823
    Comparisons
    737
    Reviews
    1
    Average Words per Review
    1,635
    Rating
    8.0
    1st
    out of 32 in Web Analytics
    Views
    625
    Comparisons
    425
    Reviews
    27
    Average Words per Review
    455
    Rating
    8.4
    Comparisons
    Google Analytics logo
    Compared 31% of the time.
    Pendo logo
    Compared 14% of the time.
    Tealium logo
    Compared 13% of the time.
    Adobe Analytics logo
    Compared 12% of the time.
    Amplitude logo
    Compared 12% of the time.
    Also Known As
    Segment.io
    Learn More
    Overview

    Segment is a customer data platform that helps organizations collect, unify, and analyze customer data from various sources. Its primary use case is to provide a single view of the customer across different touchpoints, enabling businesses to deliver personalized experiences.

    The most valuable functionality of Segment is its ability to integrate with numerous data sources, such as websites, mobile apps, and third-party tools. It simplifies the process of data collection and unification, allowing organizations to easily access and analyze customer data in real time.

    Segment helps organizations by providing a comprehensive understanding of their customer's behavior, preferences, and interactions. This valuable insight enables businesses to make data-driven decisions, optimize marketing campaigns, and improve customer engagement. By leveraging Segment's capabilities, organizations can enhance customer experiences, increase customer satisfaction, and drive business growth.

    Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

    To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

    Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

    Sample Customers
    Nokia, rdio, Bonobos, LiveNation, Atlassian
    Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company16%
    Financial Services Firm11%
    Real Estate/Law Firm8%
    Retailer6%
    REVIEWERS
    Computer Software Company31%
    Financial Services Firm31%
    Outsourcing Company15%
    Retailer8%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Manufacturing Company9%
    Financial Services Firm8%
    Retailer8%
    Company Size
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise58%
    REVIEWERS
    Small Business22%
    Midsize Enterprise25%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise18%
    Large Enterprise62%
    Buyer's Guide
    Web Analytics
    March 2024
    Find out what your peers are saying about Snowflake Computing, Google, Amplitude and others in Web Analytics. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    Segment is ranked 5th in Web Analytics with 2 reviews while Snowflake Analytics is ranked 1st in Web Analytics with 28 reviews. Segment is rated 8.6, while Snowflake Analytics is rated 8.4. The top reviewer of Segment writes "Simplify data management and analysis and offers built-in integrations for many data sources and destinations, reducing effort required for custom integrations". On the other hand, the top reviewer of Snowflake Analytics writes "A scalable tool useful for data lake and data mining processes". Segment is most compared with Google Analytics, Pendo, Tealium, Adobe Analytics and Amplitude, whereas Snowflake Analytics is most compared with Azure Data Factory, Adobe Analytics, Mixpanel, Amplitude and Glassbox.

    See our list of best Web Analytics vendors.

    We monitor all Web Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.