Apache Hadoop vs Firebolt comparison

Apache and Firebolt are both solutions in the Cloud Data Warehouse category. Additionally, 89% of Apache users are willing to recommend the solution, compared to 100% of Firebolt users who would recommend it.

Apache Hadoop

Read 41 Apache Hadoop reviews

2,608 Views
1,669 Comparison Views

89% willing to recommend

Firebolt

Read 1 Firebolt review

482 Views
419 Comparison Views

100% willing to recommend

Apache Hadoop

Firebolt

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Executive Summary

We performed a comparison between Apache Hadoop and Firebolt based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache Hadoop vs. Firebolt Report (Updated: April 2026).

Buyer's Guide

Apache Hadoop vs. Firebolt

April 2026

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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

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Warehouse (10th)

Firebolt

Average Rating

9.0

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (17th)

Featured Reviews

Nick Rapoport

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.

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Iqbal Hossain Raju

Junior Software Engineer at a healthcare company with 10,001+ employees

Can quickly query it to generate quick results

We have used Snowflake before. We support both. Firebolt has better performance, executing queries much quicker than Snowflake. However, Snowflake has more functionality. Depending on the client's needs, we can recommend the best option. Firebolt is a relatively new technology. Snowflake has many functionalities. Firebolt does not support unloading data to S3. There is no built-in way to do this in Firebolt. Alternatively, the data can be retrieved using API calls and loaded to S3 manually. Data can be unloaded to S3 directly using Snowflake. Firebolt significantly improves our performance over Snowflake because it takes less time to execute queries. This is especially important for our company because we use some KPIs that require fast loading times.

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Quotes from Members

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

Pros

"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."

"If the data volume is too big, it's IoT data, or the stream of data is too much, this solution can handle it and I would definitely recommend Apache Hadoop."

"Hadoop is good for analytics and some reporting requirements."

"What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution."

"With the increase in data size for the business, this horizontal scalable appliance has answered every business question in terms of storage and processing."

"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."

"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."

"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."

More Apache Hadoop pros

"Firebolt is fast for analytical purposes. For example, we have analytical data in our data warehouse, and Firebolt can quickly query it to generate quick results."

Cons

"We are using HDTM circuit boards, and I worry about the future of this product and compatibility with future releases."

"The solution is very expensive."

"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."

"The price could be better. I think we would use it more, but the company didn't want to pay for it."

"Currently, Apache Oozie 4.0.1 has some compatibility issues with Hadoop 2.5.2."

"Hadoop lacks OLAP capabilities."

"It requires a great deal of learning curve to understand."

"It's good for what is meant to do, a lot of big data, but it's not as good for low latency applications."

More Apache Hadoop cons

"Firebolt's engine takes a long time to start because it needs to make engine calls."

Pricing and Cost Advice

"This is a low cost and powerful solution."

"It's reasonable, but there's room for improvement in cost-effectiveness."

"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 price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."

"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 product is open-source, but some associated licensing fees depend on the subscription level."

"The price of Apache Hadoop could be less expensive."

"There are no licensing costs involved, hence money is saved on the software infrastructure."

More Apache Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

29%

University

Computer Software Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	14
Midsize Enterprise	8
Large Enterprise	21

No data available

Questions from the Community

What do you like most about Apache Hadoop?

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.

See all answers

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...

See all answers

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...

See all answers

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Comparisons

Snowflake vs Apache Hadoop

Compared 12% of the time

Teradata vs Apache Hadoop

Compared 6% of the time

OpenText Analytics Database (Vertica) vs Apache Hadoop

Compared 6% of the time

Oracle Exadata vs Apache Hadoop

Compared 5% of the time

Databricks vs Apache Hadoop

Compared 5% of the time

More Apache Hadoop Competitors

Snowflake vs Firebolt

Compared 34% of the time

Snowflake Analytics vs Firebolt

Compared 15% of the time

Databricks vs Firebolt

Compared 14% of the time

Microsoft Azure Synapse Analytics vs Firebolt

Compared 14% of the time

Yellowbrick Cloud Data Warehouse vs Firebolt

Compared 13% of the time

More Firebolt Competitors

Product Reports

Buyer's Guide

Apache Hadoop

April 2026

Download Apache Hadoop product report

Buyer's Guide

Cloud Data Warehouse

March 2026

Download Firebolt product report

Overview

The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Apache

Firebolt is a cloud-native data warehouse that enables organizations to process massive amounts of data at lightning-fast speeds. This is achieved through its unique architecture that utilizes a cloud-native approach, allowing for elastic scaling and parallel processing.

Firebolt helps organizations with a scalable and cost-effective solution for their data warehousing needs. It eliminates the need for expensive hardware and maintenance costs associated with traditional data warehouses. Firebolt's real-time analytics capabilities also enable businesses to make data-driven decisions quickly, giving them a competitive edge in their respective industries.

Firebolt

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

Buyer's Guide

Apache Hadoop vs. Firebolt

April 2026

Free Report: Apache Hadoop vs. Firebolt

Find out what your peers are saying about Apache Hadoop vs. Firebolt and other solutions. Updated: April 2026.

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