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Datapipe Cloud Analytics for AWS vs Spot by Flexera comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 19, 2026

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

Datapipe Cloud Analytics fo...
Ranking in Cloud Analytics
9th
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Spot by Flexera
Ranking in Cloud Analytics
2nd
Average Rating
8.6
Reviews Sentiment
7.5
Number of Reviews
5
Ranking in other categories
Cloud Management (23rd), Server Virtualization Software (14th), Cloud Operations Analytics (1st), Compute Service (9th), Containers as a Service (CaaS) (4th), Cloud Cost Management (5th)
 

Mindshare comparison

As of January 2026, in the Cloud Analytics category, the mindshare of Datapipe Cloud Analytics for AWS is 3.5%, up from 0.9% compared to the previous year. The mindshare of Spot by Flexera is 20.5%, up from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics Market Share Distribution
ProductMarket Share (%)
Spot20.5%
Datapipe Cloud Analytics for AWS3.5%
Other76.0%
Cloud Analytics
 

Featured Reviews

JC
Director of Data Science at HealthWorks Analytics
Stable, straightforward to set up and does have good integration with various useful tools
The on-demand pipeline execution is something that we've had some challenges with for on-demand scheduling, however, we have some fairly complex use cases there. That said, we have had some problems getting that to work across a wide variety of use cases. Therefore, depending on the latency and the on-demand nature of it, they could do some improvement there. QuickSight is evolving pretty quickly. While I liked it, it integrates with it, it would help if they did more coordinated releases so that those features in their other products are improved and that those are available too. I'd like to see it coordinated or integrated with more of a data catalog. While there are some features there, the data governance and data cataloging, they touch on that, however, that's an important area of growth. It's becoming more and more important. That's why I would like to see more sophisticated and more complete data cataloging and data governance in that product. I know they're working on that. And of course, sometimes you have to go to half a dozen different AWS products before you get the thing you want. That said, I would like to see more data cataloging, more governance.
KS
Dev Ops Engineer at a construction company with 11-50 employees
Intelligent autoscaling has cut compute costs and now manages ephemeral workloads efficiently
I think overall Spot is quite good. The UI is powerful, but it can feel a bit dense for some new users. More guided onboarding would help teams adopt advanced features faster, and deeper insights into Kubernetes resource usage would be beneficial. Overall, it is a really good platform that is quite mature and stable. I chose a rating of nine because it may sometimes be a bit overwhelming for newcomers, and there are also a few areas in which the EKS Kubernetes level granularity is a little missing. Overall, I think Spot is a really good and stable tool.

Quotes from Members

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

Pros

"The initial setup is pretty straightforward."
"Spot has positively impacted our organization by automating cloud resource management, which has significantly cut costs and improved efficiency."
"Cost saving is the main benefit, and the manual effort required for reviewing and purchasing savings plans and other RIs is something we do not have to manage manually now, as we get automatic suggestions from Spot."
"The solution offers both block access and file access, making it a nice solution for customers."
"My compute costs have reduced, capacity and production output have increased, and my overhead for maintaining custom scripts or doing some of the tasks manually has been saved."
"The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow."
 

Cons

"I'd like to see it coordinated or integrated with more of a data catalog."
"There are no particular areas for improvement I can identify."
"The solution doesn't have support from OCI, and it should start working to onboard OCI."
"I have not seen a return on investment yet."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
18%
Computer Software Company
16%
Healthcare Company
7%
Financial Services Firm
7%
 

Company Size

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

Questions from the Community

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What do you like most about Spot Ocean?
The solution helps us to manage and scale automatically whenever there is a limit to the increase in the application workflow.
What needs improvement with Spot Ocean?
Spot can be improved by adding deeper multi-cloud integrations, enhancing real-time security automation, and continuously making advancements based on customer feedback.
What is your primary use case for Spot Ocean?
I have been using Spot for five years. My main use case for Spot is cloud optimization.We use Spot for optimization by leveraging real-time optimization as well as auto-optimization. The company al...
 

Comparisons

No data available
 

Also Known As

No data available
Spot Ocean, Spot Elastigroup, Spot Eco
 

Overview

 

Sample Customers

Citrix, CloudPassage, mongoDB, Datastax
Freshworks, Zalando, Red Spark, News, Trax, ETAS, Demandbase, BeesWa, Duolingo, intel, IBM, N26, Wix, EyeEm, moovit, SAMSUNG, News UK, ticketmaster
Find out what your peers are saying about IBM, Spot - A Flexera company, Oracle and others in Cloud Analytics. Updated: December 2025.
881,114 professionals have used our research since 2012.