Actian Ingres vs Apache Hadoop comparison

Actian and Apache are both solutions in the Data Warehouse category. Actian is ranked #15 with an average rating of 8.0, while Apache is ranked #7 with an average rating of 8.0. Actian holds a 1.0% mindshare in Data Warehouse, compared to Apache’s 5.1% mindshare. Additionally, 100% of Actian users are willing to recommend the solution, compared to 89% of Apache users who would recommend it.

Actian Ingres

Read 2 Actian Ingres reviews

248 Views
86 Comparison Views

100% willing to recommend

Apache Hadoop

Read 40 Apache Hadoop reviews

1,139 Views
693 Comparison Views

89% willing to recommend

Actian Ingres

Apache Hadoop

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Executive SummaryUpdated on Dec 18, 2024

Actian Ingres and Apache Hadoop are competing in the data management category. Actian Ingres leads in pricing and support, while Apache Hadoop stands out for its expansive features, which justify its costs for large-scale data processing.

Features: Actian Ingres provides strong transactional capabilities, data security, and reliable performance for OLTP systems. Apache Hadoop handles big data with scalability, adaptability, and supports diverse data formats with distributed storage. Hadoop's ability to efficiently manage extreme data volumes makes it a top choice for big data analytics.

Ease of Deployment and Customer Service: Actian Ingres offers straightforward deployment and a strong support structure, making it easy for IT professionals. Apache Hadoop has more complex deployment needs requiring skilled expertise, but its widespread community and documentation help mitigate challenges.

Pricing and ROI: Actian Ingres has competitive setup costs, making it a cost-effective option for businesses with smaller datasets, providing efficient transactional processing and favorable ROI. Apache Hadoop's higher setup costs are justified by its capability to manage large datasets, offering significant ROI over time for large-scale projects.

To learn more, read our detailed Actian Ingres vs. Apache Hadoop Report (Updated: May 2025).

Buyer's Guide

Actian Ingres vs. Apache Hadoop

May 2025

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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

Actian Ingres

Ranking in Data Warehouse

15th

Average Rating

8.6

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

Relational Databases Tools (26th)

Apache Hadoop

Ranking in Data Warehouse

7th

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Data Warehouse category, the mindshare of Actian Ingres is 1.0%, up from 0.5% compared to the previous year. The mindshare of Apache Hadoop is 5.1%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

GustavHoltzhausen

Sr Sales Engineer at HCLSoftware

Reliable performance enhances operations with good technical support

We run the entire IRS system, the income system, and the tax system. We also manage the entire Absa banking system in Africa. There's a lot of database applications, similar to those used in banks and the IRS The most valuable features for us are reliability and performance. Our system is used…

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Sushil Arya

Software developer at Fiserv

Provides ease of integration with the IT workflow of a business

When working with Kafka, I saw that the data came in an incremental order. The incremental data processing part is still not very effective in Apache Hadoop. If the data is already there, it can be processed very effectively, especially if the data is coming in every second. If you want to know the location of some data every second, then such data is not processed effectively in Apache Hadoop. I can say that one of the features where improvements are required revolves around the licensing cost of the tool. If the tool can build some licensing structures in a pay-per-use manner, organizations can get the look and feel of Apache Hadoop. Apache Hadoop can offer a licensing structure of the product that can be seen as similar to how AWS operates. Apache Hadoop can look into the capability of processing incremental data. The tool's setup process can be a scope of improvement. Also, it is not very simple because while doing the setup, we need to do all the server settings, including port listing and firewall configurations. If we look at other products on the market, then they can be made simpler. There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required. The time frame for the resolution is an area that needs to be improved. The overall communication part of the technical support team also needs improvement.

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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

"The deployment of our solution across a number of servers using Ingres .NET has meant that we can protect the database server behind a highly secure firewall and deploy the front end solutions on a normal web server."

"The most valuable features for us are reliability and performance."

"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."

"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."

"Hadoop File System is compatible with almost all the query engines."

"The tool's stability is 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."

"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."

"The most valuable features are powerful tools for ingestion, as data is in multiple systems."

"The performance is pretty good."

More Apache Hadoop pros

Cons

"The ability to reset the log file without stopping the DBMS would be helpful for us."

"The seamless integration is a bit of an issue."

"It requires a great deal of learning curve to understand. The overall Hadoop ecosystem has a large number of sub-products. There is ZooKeeper, and there are a whole lot of other things that are connected. In many cases, their functionalities are overlapping, and for a newcomer or our clients, it is very difficult to decide which of them to buy and which of them they don't really need. They require a consulting organization for it, which is good for organizations such as ours because that's what we do, but it is not easy for the end customers to gain so much knowledge and optimally use it."

"The upgrade path should be improved because it is not as easy as it should be."

"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."

"It could be more user-friendly."

"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."

"Hadoop lacks OLAP capabilities."

"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."

"The integration with Apache Hadoop with lots of different techniques within your business can be a challenge."

More Apache Hadoop cons

Pricing and Cost Advice

Information not available

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

"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."

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

"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 of Apache Hadoop could be less expensive."

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

More Apache Hadoop pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Government

University

Legal Firm

Financial Services Firm

34%

Computer Software Company

12%

University

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with Actian Ingres?

The seamless integration is a bit of an issue. I would like to see more direct connectors and stuff like SQLAlchemy. It's there but isn't available as a standard, so it involves going to GitHub to ...

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What is your primary use case for Actian Ingres?

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What is your experience regarding pricing and costs for Actian Ingres?

Initially, it's a lot less expensive than competitors. Price performance has always been a priority, ensuring we remain competitive in the market.

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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

Oracle Database Appliance vs Actian Ingres

Compared 65% of the time

Teradata vs Actian Ingres

Compared 35% of the time

More Actian Ingres Competitors

Oracle Exadata vs Apache Hadoop

Compared 20% of the time

Teradata vs Apache Hadoop

Compared 14% of the time

Azure Data Factory vs Apache Hadoop

Compared 12% of the time

BigQuery vs Apache Hadoop

Compared 11% of the time

Microsoft Azure Synapse Analytics vs Apache Hadoop

Compared 7% of the time

More Apache Hadoop Competitors

Product Reports

Buyer's Guide

Data Warehouse

June 2025

Download Actian Ingres product report

Buyer's Guide

Apache Hadoop

June 2025

Download Apache Hadoop product report

Also Known As

Ingres, Ingres 2006

No data available

Overview

Actian’s Ingres is a leading, enterprise-grade database management system designed to reduce IT costs and time-to-value, while delivering the strength and features expected from an enterprise-class database. Ingres 10.2 is the latest version of the database, containing enhancements that will make it easier to internationalize customer applications. Along with improved performance and reduced configuration overhead, users can take their first steps into big data analytics with the new Window functions.

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

Groupe Adeo, IsCool Entertainment

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

Buyer's Guide

Actian Ingres vs. Apache Hadoop

May 2025

Free Report: Actian Ingres vs. Apache Hadoop

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