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Chef SaaS vs Snowplow comparison

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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

Arctera Insight Platform
Sponsored
Average Rating
0
Number of Reviews
0
Ranking in other categories
Data Governance (61st), Compliance Management (31st)
Chef SaaS
Average Rating
8.0
Number of Reviews
2
Ranking in other categories
AWS Marketplace (119th)
Snowplow
Average Rating
8.0
Number of Reviews
5
Ranking in other categories
AWS Marketplace (18th)
 

Featured Reviews

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Aaron Prashanth - PeerSpot reviewer
Dev Ops Engineer at Siemens Industry
Consistent releases have improved collaboration while configuration procedures still need simplification
What stands out for me in Chef SaaS is that the procedure is straightforward and the release goes smoothly because we can create different versions according to our own requirements. Chef SaaS helps with collaboration between our development and operations team. A benefit I can see is that configuring is easier because developers commit new code and new versions, and using Chef SaaS, we can create different cookbooks. Cookbooks contain different recipes, and different cookbooks represent different versions. Using these versions, we can consolidate and create a new package that will help us with the release. Since this is a product-based company and our product is wind turbines, every time we have a product release or patch release, Chef SaaS helps us tremendously. We release different patch cycles such as LTS patch cycles, Windows patches, or any kind of patch feature and built features. To maintain the cycle, the process is quite smooth.
KK
Product Owner at Karine Caimo
Data teams have gained full control over real‑time user behavior tracking for advertising insights
Snowplow offers the best features in that you are completely free to make your own data model, track the way you want to track, and control the way the data comes to Snowflake so you are the complete owner of the raw data without being forced into a certain data model. Having that level of flexibility impacts our team's work and projects as we needed quite a lot of people that were really good in Snowplow. However, from the moment that you completely understood the technical aspects, you were completely free to set up your own Snowplow environment and track the way you wanted to track and what you wanted to track, which is not possible with Google Analytics and Adobe Analytics, for example. 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. We are making data mesh products on this data all over the company. I think for advertisement, it is really the most important source of data.
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Top Industries

By visitors reading reviews
No data available
Construction Company
53%
Media Company
11%
Comms Service Provider
7%
Healthcare Company
5%
Construction Company
36%
Insurance Company
30%
Comms Service Provider
7%
Healthcare Company
7%
 

Company Size

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

Questions from the Community

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What needs improvement with Snowplow?
The setup process is an area for improvement because getting the pipeline infrastructure right is hard.
What is your primary use case for Snowplow?
I use it for product analytics such as tracking clicks and page views, as well as providing a customer 360.
 

Comparisons

 

Overview

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