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."

"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."

"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."

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

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

"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."

"The performance is pretty good."

"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 most valuable feature is the database."

More Apache Hadoop pros

Cons

"The stability needs work."

"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."

"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."

"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."

"Improvements in security measures would be beneficial, given the large volumes of data handled."

"I would like to see more direct integration of visualization applications."

"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."

"The product's availability of comprehensive training materials could be improved for faster onboarding and skill development among team members."

"There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required."

More Apache Hadoop cons

Pricing and Cost Advice

Information not available

"This is a low cost and powerful solution."

"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."

"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."

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

"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."

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

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...

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

Comparisons

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Compared 47% of the time

Teradata vs Actian ParAccel

Compared 20% of the time

Amazon Redshift vs Actian ParAccel

Compared 18% 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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