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Apache Hadoop vs Coalesce.io 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

Apache Hadoop
Ranking in Data Warehouse
10th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
41
Ranking in other categories
No ranking in other categories
Coalesce.io
Ranking in Data Warehouse
16th
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 August 2026, in the Data Warehouse category, the mindshare of Apache Hadoop is 3.2%, down from 4.2% compared to the previous year. The mindshare of Coalesce.io is 1.1%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Apache Hadoop3.2%
Coalesce.io1.1%
Other95.7%
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

"Apache Hadoop is crucial in projects that save and retrieve data daily. Its valuable features are scalability and stability. It is easy to integrate with the existing infrastructure."
"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"What comes with the standard setup is what we mostly use, but Ambari is the most important."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources."
"It's good for storing historical data and handling analytics on a huge amount of data."
"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 making development faster and keeping the logic clearer, so we do not have to see 1000-2000 lines of code every time."
"The best features that Coalesce.io offers include a very rigid ETL framework that ensures all developers use the same pattern."
"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 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 improving workflow, productivity, and business outcomes."
"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."
"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."
 

Cons

"We're finding vulnerabilities in running it 24/7. We're experiencing some downtime that affects the data."
"We are using HDTM circuit boards, and I worry about the future of this product and compatibility with future releases."
"In terms of processing speed, I believe that some of this software as well as the Hadoop-linked software can be better."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."
"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."
"It requires a great deal of learning curve to understand."
"From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective."
"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."
"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."
"Coalesce.io could be improved from the stage layer perspective."
"Regarding the accuracy and reliability of Coalesce.io's output, I am not entirely sure it is reliable."
"At the moment, the only improvement I see is deeper support for AI agents to support the developer's job."
"Coalesce.io could improve in their AI features that they have enabled now."
"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."
 

Pricing and Cost Advice

"This is a low cost and powerful solution."
"We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
"It's reasonable, but there's room for improvement in cost-effectiveness."
"​There are no licensing costs involved, hence money is saved on the software infrastructure​."
"The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
"We just use the free version."
"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."
"The product is open-source, but some associated licensing fees depend on the subscription level."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Outsourcing Company
9%
Construction Company
8%
Manufacturing Company
6%
Healthcare Company
30%
Construction Company
14%
Manufacturing Company
12%
Outsourcing Company
9%
 

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 is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
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 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...
 

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: July 2026.
909,153 professionals have used our research since 2012.