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Apache Hadoop vs Coalesce.io comparison

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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

Apache Hadoop
Ranking in Data Warehouse
12th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
40
Ranking in other categories
No ranking in other categories
Coalesce.io
Ranking in Data Warehouse
15th
Average Rating
7.4
Reviews Sentiment
3.3
Number of Reviews
9
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.2%, down from 3.9% compared to the previous year. The mindshare of Coalesce.io is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Apache Hadoop3.2%
Coalesce.io1.0%
Other95.8%
Data Warehouse
 

Featured Reviews

NR
Financial Advisor at a financial services firm with 10,001+ employees
Reliable performance maintained but requires ongoing management and support
Hadoop was used for years, but there were problems since the people who originally set it up left the firm. The group that owned it later didn't have the technical resources to properly maintain it. Although there was nothing wrong with Hadoop itself, issues arose without proper management and upgrades.
Kunal Shah - PeerSpot reviewer
Senior Business Intelligence Developer at VodafoneZiggo
Standardized ELT templates have accelerated delivery while API and UI flexibility still need improvement
The best features Coalesce.io offers in my experience include lineage, which is the most important from the Ziggo perspective, and the APIs, which I would rank as the second most valuable. The third feature is the bulk edit option, so we don't have to do repetitive tasks again and again. The new SQL feature they are introducing, where you can dump your SQL and have your table or view created without manually creating columns, is also valuable. These are the four features I appreciate the most, and the fifth one would be the recently implemented GUI change where you can put a node in a spotlight to see the upstream and downstream based on what you need, setting up the depth and those settings. Coalesce.io has positively impacted my organization by reducing our development time and the time to market from around 15 days to a couple of days. This is the biggest impact we have experienced, and we are able to enforce a standardized way of working among developers, eliminating silos or customized solutions that developers create for themselves. If a satellite is loaded by ten different processes, all ten different processes generate the same type of SQL, making it easier to debug later if someone new joins the team. Additionally, since it is a SaaS solution, there is no need to maintain any software or install anything on laptops, which has helped us at VodafoneZiggo. Another feature is the API feature and the CLI command tool, which aid us significantly in moving from PowerCenter to Coalesce, enabling the migration of mappings from PowerCenter to Coalesce in bulk.

Quotes from Members

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

Pros

"It is a file system for data collection. There are nodes in this cluster that contain all the information, directories, and other files. The nodes are based on the MySQL database."
"It is a reliable product."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R (for further data analysis) or QlikView (for data visualisation)."
"After switching to big data pipelines, our query performance improved a hundred times."
"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming."
"This intermediate step not only mashes data in the form that we want through data Cube slicing, but also helps us save states as snapshots for multiple time frames."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"Usually it takes six to seven weeks to develop all those things, but with Coalesce.io, I can complete those things in one week."
"Coalesce.io has positively impacted my organization by improving workflow, productivity, and business outcomes."
"Coalesce.io has helped me develop projects faster, as it is easy to implement and maintain, reducing execution time by thirty to forty percent, while also helping me design a modular approach."
"Coalesce.io has positively impacted my organization by being a tool that can be leveraged by a non-technical team, especially business analysts who are working on bringing data from different sources."
"Coalesce.io has impacted our organization positively by providing a low-code approach, supporting different sources so we don't need to write custom code, and offering a collaborative tool suitable for teams with a large number of developers."
"Using Coalesce.io, I have reduced my transformation process and eliminated macros that were previously used, creating reusable programs that are helpful for other projects and models, which has reduced code dependencies between teams and saved approximately three hundred to four hundred dollars per day in processing costs."
"Coalesce.io has positively impacted my organization by reducing our development time and the time to market from around 15 days to a couple of days."
"The best features that Coalesce.io offers include a very rigid ETL framework that ensures all developers use the same pattern."
 

Cons

"Real-time data processing is weak. This solution is very difficult to run and implement."
"Hadoop lacks OLAP capabilities."
"I think more of the solution needs to be focused around the panel processing and retrieval of data."
"The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it."
"The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning."
"It would be good to have more advanced analytics tools."
"We are using HDTM circuit boards, and I worry about the future of this product and compatibility with future releases."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"Coalesce.io can be improved regarding the APIs that still do not support all types of scenarios within a node, which is a blocking issue for us and potentially for other companies as well."
"At the moment, the only improvement I see is deeper support for AI agents to support the developer's job."
"I do not find anything particularly helpful or something that stands out yet."
"I believe the editing should be a bit easier, or there should be a bulk edit option where a column can be added in one go in multiple places."
"For that specific use case, I was able to accomplish what I was trying to do during the demo, but we encountered certain scenarios such as post-hooks, update statements, edge cases, or particular SQL query modifications and custom cases that could not be implemented through the GUI interface."
"Coalesce.io could be improved from the stage layer perspective."
"Coalesce.io could improve in their AI features that they have enabled now."
"Coalesce.io is compatible with Snowflake only, so it must be configured with other platforms such as Databricks and BigQuery, which is a limitation and a drawback."
 

Pricing and Cost Advice

"For any big enterprise the costs can be handled, and it is suitable for big enterprises because the scale of data is large. For medium and small enterprises, the tool is on the high-price side."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
"The price of Apache Hadoop could be less expensive."
"We just use the free version."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Outsourcing Company
12%
Construction Company
8%
Manufacturing Company
6%
Healthcare Company
31%
Outsourcing Company
16%
Construction Company
13%
Manufacturing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business14
Midsize Enterprise8
Large Enterprise22
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise2
Large Enterprise8
 

Questions from the Community

What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it. This wa...
What is your primary use case for Apache Hadoop?
My use cases for Apache Hadoop include the setups I completed, connecting to the database, and analyzing the incidences, making it a good tool for Hadoop. Apache Hadoop helps us analyze all of the ...
What advice do you have for others considering Apache Hadoop?
When I've dealt with open-source technologies, it's crucial that there's a mechanism for issue escalation. Structured support is invaluable, which is why I appreciate having technical account manag...
What is your experience regarding pricing and costs for Coalesce.io?
Licensing costs are based on the region. We are using the US region, so charges are determined accordingly.
What needs improvement with Coalesce.io?
Coalesce.io can be improved by making it handle more edge cases and providing better documentation. When I was initially working and trying to find information, there was not much available on thei...
What is your primary use case for Coalesce.io?
My main use case for Coalesce.io was with a healthcare provider client whose team was not particularly tech savvy, so we wanted something easy to use. I was debating between two options: Coalesce.i...
 

Comparisons

 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Information Not Available
Find out what your peers are saying about Apache Hadoop vs. Coalesce.io and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.