Actian Ingres vs Databricks comparison

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Actian Ingres

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Executive Summary

We performed a comparison between Actian Ingres and Databricks 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. Databricks Report (Updated: July 2025).

Actian Ingres vs. Databricks

July 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

Average Rating

8.6

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

Relational Databases Tools (27th), Data Warehouse (17th)

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Data Science Platforms (1st), Streaming Analytics (1st)

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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ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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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."

"I work in the data science field and I found Databricks to be very useful."

"The setup was straightforward."

"I like cloud scalability and data access for any type of user."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

"Databricks integrates well with other solutions."

"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."

"Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily."

"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."

More Databricks 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."

"I have seen better user interfaces, so that is something that can be improved."

"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."

"It would be nice to have more guidance on integrations with ETLs and other data quality tools."

"It would be great if Databricks could integrate all the cloud platforms."

"The initial setup is difficult."

"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."

"We'd like a more visual dashboard for analysis It needs better UI."

"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."

More Databricks cons

Pricing and Cost Advice

Information not available

"The solution is affordable."

"We're charged on what the data throughput is and also what the compute time is."

"The licensing costs of Databricks is a tiered licensing regime, so it is flexible."

"The solution is a good value for batch processing and huge workloads."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

"Databricks' cost could be improved."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

"I would rate Databricks' pricing seven out of ten."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

23%

Government

Insurance Company

Legal Firm

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	25
Midsize Enterprise	12
Large Enterprise	56

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 ...

What is your primary use case for Actian Ingres?

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.

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

Oracle Database Appliance vs Actian Ingres

Comparisons

Compared 41% of the time

IBM Informix vs Actian Ingres

Compared 29% of the time

Snowflake vs Actian Ingres

Compared 29% of the time

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Compared 9% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau Enterprise vs Databricks

Compared 5% of the time

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Product Reports

Download Actian Ingres product report

Data Warehouse

August 2025

Download Databricks product report

September 2025

Also Known As

Ingres, Ingres 2006

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

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

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Sample Customers

Groupe Adeo, IsCool Entertainment

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware