Actian ParAccel vs Apache Hadoop comparison

Actian and Apache are both solutions in the Data Warehouse category. Actian is ranked #27, while Apache is ranked #7 with an average rating of 8.2. Actian holds a 1.5% mindshare in Data Warehouse, compared to Apache’s 3.7% mindshare. Additionally, 100% of Actian users are willing to recommend the solution, compared to 89% of Apache users who would recommend it.

Actian ParAccel

Read 1 Actian ParAccel review

339 Views
268 Comparison Views

100% willing to recommend

Apache Hadoop

Read 41 Apache Hadoop reviews

2,310 Views
1,409 Comparison Views

89% willing to recommend

Actian ParAccel

Apache Hadoop

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.

To learn more, read our detailed Data Warehouse Report (Updated: February 2026).

Buyer's Guide

Data Warehouse

February 2026

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Helped 884,873 peers since 2012

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

Actian ParAccel

Ranking in Data Warehouse

27th

Average Rating

7.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Apache Hadoop

Ranking in Data Warehouse

7th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Data Warehouse category, the mindshare of Actian ParAccel is 1.5%, up from 0.2% compared to the previous year. The mindshare of Apache Hadoop is 3.7%, down from 4.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Apache Hadoop	3.7%
Actian ParAccel	1.5%
Other	94.8%

Data Warehouse

Featured Reviews

it_user263409

Business Intelligence Consultant at a computer software company with 501-1,000 employees

The stability needs work and the leader node should be removed, but we can deliver results faster.

The speed of the application It has delivered results to our customers faster than we were able to previously. The stability needs work. I've used it for two years. It wasn't stable. There are issues. No issues yet. Customer Service: It's good. Technical Support: It's good. SQL Server…

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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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Quotes from Members

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

Pros

"It has delivered results to our customers faster than we were able to previously."

"One valuable feature is that we can download data."

"The most valuable feature is the database."

"The most valuable feature is scalability and the possibility to work with major information and open source capability."

"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."

"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."

"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."

"The tool's stability is good."

More Apache Hadoop pros

Cons

"The stability needs work."

"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."

"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."

"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake."

"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."

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

"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."

"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."

"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."

More Apache Hadoop cons

Pricing and Cost Advice

Information not available

"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."

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

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

"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."

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

"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 of Apache Hadoop could be less expensive."

"We just use the free version."

More Apache Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

31%

Computer Software Company

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

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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...

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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

Comparisons

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Compared 41% of the time

Teradata vs Actian ParAccel

Compared 19% of the time

Amazon Redshift vs Actian ParAccel

Compared 16% of the time

Oracle Database Appliance vs Actian ParAccel

Compared 13% of the time

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Snowflake vs Apache Hadoop

Compared 13% of the time

OpenText Analytics Database (Vertica) vs Apache Hadoop

Compared 6% of the time

Teradata vs Apache Hadoop

Compared 6% of the time

Databricks vs Apache Hadoop

Compared 6% of the time

Oracle Exadata vs Apache Hadoop

Compared 5% of the time

More Apache Hadoop Competitors

Product Reports

Buyer's Guide

Data Warehouse

February 2026

Download Actian ParAccel product report

Buyer's Guide

Apache Hadoop

March 2026

Download Apache Hadoop product report

Also Known As

ParAccel

No data available

Overview

ParAccel's analytic platform accelerates and improves organization's decision making and opens the door for innovation, growth, and a sustainable competitive advantage.

Actian

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

Sample Customers

Amazon, The Royal Bank of Scotland, OfficeMax, MicroStrategy

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab

Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: February 2026.

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