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Insights Hub vs Snowflake comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 26, 2025

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

Insights Hub
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
AWS Marketplace (5th)
Snowflake
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
104
Ranking in other categories
Data Warehouse (1st), Cloud Data Warehouse (1st), AI Synthetic Data (2nd), Database Management Systems (DBMS) (7th), AI Software Development (8th)
 

Mindshare comparison

Insights Hub and Snowflake aren’t in the same category and serve different purposes. Insights Hub is designed for AWS Marketplace and holds a mindshare of 0.1%, down 7.0% compared to last year.
Snowflake, on the other hand, focuses on Cloud Data Warehouse, holds 15.6% mindshare, down 21.3% since last year.
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Insights Hub0.1%
Stardog Enterprise Knowledge Graph Platform1.0%
CTG Cross-Border VPC Connection (Asia Pacific:HongKong-China:Beijing)0.9%
Other98.0%
AWS Marketplace
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake15.6%
Databricks10.7%
Teradata8.0%
Other65.7%
Cloud Data Warehouse
 

Featured Reviews

reviewer2787357 - PeerSpot reviewer
Site Reliability Engineer 2 at a tech vendor with 1,001-5,000 employees
Centralized insights have transformed troubleshooting and now cut incident resolution time dramatically
Regarding improvements to Insights Hub, I have identified several areas. The first improvement would be smarter AI with clear root cause suggestions. Currently, AI detects anomalies but often only says "unusual increase in failures detected" without clearly stating what changed, which deployment caused it, or what likely component is responsible. Improvements could include automatic correlation with recent deployments, suggested probable root causes such as code changes, infrastructure scale events, or database latency, and a confidence score. This would reduce investigation time even more. The second improvement would be better noise reduction in alerts. Sometimes anomaly detection generates too many notifications and minor fluctuations are treated as incidents. Improvements could include smarter alert grouping, better baseline tuning, and business impact aware alerting, where alerts are not triggered if latency increased but there is no user impact. The third improvement is stronger cross-cloud and hybrid visibility. Many organizations use Azure, AWS, and on-premises infrastructure. Insights Hub could improve multi-cloud correlations and unified dashboards across environments. Currently, cross-platform visibility often requires custom integrations.
SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.

Quotes from Members

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

Pros

"Insights Hub has provided significant positive impact to my organization, including 30 to 50 percent faster incident resolution, fewer SEV one outages, reduced alert fatigue by 20 to 30 percent, better SLA compliance, and increased customer satisfaction."
"As long as you don't need to worry about the storage or cost, this solution would be one of the best ones on the market for scalability purposes."
"It's user-friendly. It's SQL-driven. The fact that business can also go to this application and query because they know SQL is the biggest factor."
"Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit."
"I like the ability to work with a managed service on the cloud and that is easy to start with."
"Snowflake has been kind of a silver bullet; it has tried to marry the best of both worlds in terms of turnaround time, scalability, adoption, and seamlessness."
"I like the ability to work with a managed service on the cloud and that is easy to start with."
"Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses."
"The reduced infrastructure management is the big difference compared to on-prem warehousing with Snowflake Data Cloud."
 

Cons

"The learning curve is steep as it requires skill to fully utilize and is not very beginner-friendly, and querying can be complex."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end-users."
"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."
"The solution needs to offer more functionality related to machine learning and artificial intelligence."
"The data sharing capabilities across business units within the organization should be better."
"Pricing is an issue for many customers."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"We would like to be able to do modeling with Snowflake. It should support statistical modeling."
"The solution should offer an on-premises version also. We have some requirements where we would prefer to use it as a template."
 

Pricing and Cost Advice

Information not available
"Snowflake is a cost-effective solution."
"It is pay-as-you-go. Its cost is in the medium range."
"The price for the solution's license depends on the use cases."
"Snowflake has consumption-based costs; users only pay for storage and computing."
"Snowflake is cost-effective."
"It's expensive."
"The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year."
"Oracle is less expensive than Snowflake."
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Top Industries

By visitors reading reviews
Insurance Company
75%
Construction Company
13%
Comms Service Provider
4%
Retailer
2%
Financial Services Firm
19%
Manufacturing Company
9%
Computer Software Company
8%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise58
 

Questions from the Community

What needs improvement with Insights Hub?
Regarding improvements to Insights Hub, I have identified several areas. The first improvement would be smarter AI with clear root cause suggestions. Currently, AI detects anomalies but often only ...
What is your primary use case for Insights Hub?
Insights Hub serves as a centralized monitoring and data-driven decision-making platform. It acts as a single place where data is collected, analyzed, and turned into actionable insights. The prima...
What advice do you have for others considering Insights Hub?
I am giving Insights Hub a rating of eight out of ten. The reason I have given eight is because of all the features it has and the excellent observability capabilities it provides, such as end-to-e...
What is your experience regarding pricing and costs for Snowflake?
For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...
What needs improvement with Snowflake?
Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...
What is your primary use case for Snowflake?
Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....
 

Comparisons

No data available
 

Also Known As

No data available
Snowflake Computing, Snowflake Data Cloud
 

Overview

 

Sample Customers

Information Not Available
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops