Actian Ingres vs BigQuery comparison

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

Actian Ingres

Read 2 Actian Ingres reviews

248 Views
86 Comparison Views

100% willing to recommend

BigQuery

Read 41 BigQuery reviews

2,915 Views
1,576 Comparison Views

100% willing to recommend

Actian Ingres

BigQuery

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Actian Ingres and BigQuery 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 Actian Ingres vs. BigQuery Report (Updated: June 2025).

Buyer's Guide

Actian Ingres vs. BigQuery

June 2025

Download the complete report

Helped 859,129 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 Ingres

Average Rating

8.6

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

Relational Databases Tools (26th), Data Warehouse (15th)

BigQuery

Average Rating

8.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (3rd)

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…

Read full review

Luís Silva

Chief Technical Lead at Human Code

Handles large data sets efficiently and offers flexible data management capabilities

The features I find most valuable in this solution are the ability to run and handle large data sets in a very efficient way with multiple types of data, relational as SQL data. It is kind of difficult to explain, but structured data and the ability to handle large data sets are key features. The data integration capabilities in BigQuery were, in fact, an issue at the beginning. There are two types of integrations. As long as integration is within Google, it is pretty simple. When you start to try to connect external clients to that data, it becomes more complex. It is not related to BigQuery, it is related to Google security model, which is not easy to manage. I would not call it an integration issue of BigQuery, I would call it an integration issue of Google security model.

Read full review

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."

"The product is serverless. We only need to write SQL queries to analyze the data. We need to pay based on the number of queries. The retrieval time is very less. Even if you write large queries, the tool is able to bring back data in a few seconds."

"It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."

"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."

"BigQuery processes a substantial amount of data, whether in gigabytes or terabytes, swiftly producing desired data within one or two minutes."

"We like the machine learning features and the high-performance database engine."

"It has a well-structured suite of complimentary tools for data integration and so forth."

"The setup is simple."

"BigQuery excels at data analysis. It processes vast amounts of information using its advanced architecture and sophisticated querying capabilities, making it crucial for critical insights and safe for handling sensitive data."

More BigQuery pros

Cons

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

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

"It would be beneficial to integrate additional tools, particularly from a business intelligence perspective."

"When it comes to queries or the code being executed in the data warehouse, the management of this code, like integration with the GitHub repository or the GitLab repository, is kind of complicated, and it's not so direct."

"Sometimes, support specialists might not have enough experience or business understanding, which can be an issue."

"With other columnar databases like Snowflake, you can actually increase your VM size or increase your machine size, and you can buy more memory and it will start working faster, but that's not available in BigQuery. You have to actually open a ticket and then follow it up with Google support."

"The processing capability can be an area of improvement."

"So our challenge in Yemen is convincing many people to go to cloud services."

"It would be beneficial if BigQuery could be made more affordable."

"We'd like to have more integrations with other technologies."

More BigQuery cons

Pricing and Cost Advice

Information not available

"The product operates on a pay-for-use model. Costs include storage and query execution, which can accumulate based on data volume and complexity."

"The platform is inexpensive."

"The pricing is good and there are no additional costs involved."

"The pricing appears to be competitive for the intended usage scenarios we have in mind."

"The product’s pricing could be more flexible for end users."

"We are above the free threshold, so we are paying around 40 euros per month for BigQuery."

"The pricing is adaptable, ensuring that organizations can tailor their usage and costs based on their specific requirements and configurations within the Google Cloud Platform."

"Price-wise, I think that is very reasonable."

More BigQuery pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.

See recommendations

859,129 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

22%

Government

University

Legal Firm

Computer Software Company

16%

Financial Services Firm

16%

Manufacturing Company

12%

Retailer

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 ...

See all answers

What is your primary use case for Actian Ingres?

See all answers

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.

See all answers

What do you like most about BigQuery?

The initial setup process is easy.

See all answers

What is your experience regarding pricing and costs for BigQuery?

I believe the cost of BigQuery is competitive versus the alternatives in the market, but it can become expensive if the tool is not used properly. It is on a per-consumption basis, the billing, so ...

See all answers

What needs improvement with BigQuery?

I have not used BigQuery for AI and machine learning projects myself. I know how to use it, and I can see where it would be useful, but so far, in my projects, I have not included a BigQuery compon...

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

Snowflake vs BigQuery

Compared 18% of the time

Oracle Autonomous Data Warehouse vs BigQuery

Compared 17% of the time

Teradata vs BigQuery

Compared 16% of the time

OpenText Analytics Database (Vertica) vs BigQuery

Compared 15% of the time

Apache Hadoop vs BigQuery

Compared 8% of the time

More BigQuery Competitors

Product Reports

Buyer's Guide

Data Warehouse

June 2025

Download Actian Ingres product report

Buyer's Guide

BigQuery

June 2025

Download BigQuery 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

BigQuery is an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of Google's infrastructure. ... You can control access to both the project and your data based on your business needs, such as giving others the ability to view or query your data.

Google

Sample Customers

Groupe Adeo, IsCool Entertainment

Information Not Available

Buyer's Guide

Actian Ingres vs. BigQuery

June 2025

Free Report: Actian Ingres vs. BigQuery

Find out what your peers are saying about Actian Ingres vs. BigQuery and other solutions. Updated: June 2025.

DOWNLOAD NOW

859,129 professionals have used our research since 2012.

See our Actian Ingres vs. BigQuery report.

See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.