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Datapipe Cloud Analytics for AWS vs Oracle Big Data Cloud Service 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

Datapipe Cloud Analytics fo...
Ranking in Cloud Analytics
10th
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Oracle Big Data Cloud Service
Ranking in Cloud Analytics
5th
Average Rating
7.6
Reviews Sentiment
6.0
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Cloud Analytics category, the mindshare of Datapipe Cloud Analytics for AWS is 3.2%, up from 0.8% compared to the previous year. The mindshare of Oracle Big Data Cloud Service is 7.4%, up from 4.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Analytics Mindshare Distribution
ProductMindshare (%)
Oracle Big Data Cloud Service7.4%
Datapipe Cloud Analytics for AWS3.2%
Other89.4%
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.
reviewer813444 - PeerSpot reviewer
General Manager with 1-10 employees
Easy to set up with good data integration and data virtualization
We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers. There needs to be better integrations with other solutions and there need to be more tools (including virtualization tools) and utilities between this solution and Hadoop. For example, Oracle has a product called Big Data SQL and it built a bridge between Hadoop and Oracle's database to make things easier for developers. The solution needs to be more stable.

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."
"I like that it's integrated, and I also like that it works well with SageMaker, and the nice thing about AWS is it actually works well in combination with some of their other tools like QuickSight and SageMaker, and I've found that those workflows to be fairly seamless and easy to coordinate across their products."
"The solution's most valuable aspect is the fact that it is open source."
"The solution's most valuable aspect is the fact that it is open source."
"The solution's most valuable aspects are its data integration and data virtualization."
"With this product, they get all the data; it's good quality and refreshed frequently so the customer is able to pull more valuable insights for their business."
 

Cons

"I'd like to see it coordinated or integrated with more of a data catalog."
"We haven't really seen an ROI. We're doing more with that product, however, probably not saving money."
"We've had some issues with stability."
"The solution needs to improve the functionality of the auto-deduplication."
"They lack the ability to respond to issues in a timely manner."
"We developed the solution based on Hadoop, but using Hadoop as a relationship database, it's hard to maintain and recruit developers."
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Overview

 

Sample Customers

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