Databricks vs ibi WebFOCUS comparison

The compared Databricks and Information Builders solutions aren't in the same category. Databricks is ranked #7 in CDW , with an average rating of 8.3, and holds a 8.4% mindshare in the category. Information Builders is ranked #8 in PA , with an average rating of 8.0, and holds a 1.5% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 95% of Information Builders users who would recommend it.

Databricks

Read 88 Databricks reviews

2,196 Views
1,662 Comparison Views

96% willing to recommend

ibi WebFOCUS

Read 18 ibi WebFOCUS reviews

70 Views
51 Comparison Views

95% willing to recommend

Databricks

ibi WebFOCUS

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and ibi WebFOCUS based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2025).

Buyer's Guide

Cloud Data Warehouse

March 2025

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Helped 844,944 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

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)

ibi WebFOCUS

Average Rating

8.8

Number of Reviews

Ranking in other categories

Predictive Analytics (8th), Embedded BI (10th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 8.4%, up 3.2% compared to last year.
ibi WebFOCUS, on the other hand, focuses on Predictive Analytics, holds 1.5% mindshare, up 1.3% since last year.

Cloud Data Warehouse

Predictive Analytics

Featured Reviews

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.

Read full review

Twanette Jurd

Technical Director / Solutions Architect at InfoBuild

Business Intelligence, reporting, data integration, ETL, data migration - everything is handled within one unified platform and highly scalable solution.

WebFOCUS goes beyond just dashboards. It's also used for operational reporting, making it crucial for mission-critical systems. In fact, a core strength is that it's not "just" a BI tool; it can be used to build complete applications. It is the best tool because of its all-in-one nature. Data integration, ETL, data migration, everything is handled within the same platform. Then, on the front end, it offers portals, reporting, distributed analysis, and more. For customers who have data in the right structure and right format, the WebFOCUS Designer tool is very powerful. It allows them to create self-service reporting applications.

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

"We can scale the product."

"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."

"The initial setup phase of Databricks was good."

"We have the ability to scale, collaborate and do machine learning."

"The solution is built from Spark and has integration with MLflow, which is important for our use case."

"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."

"The ease of use and its accessibility are valuable."

"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."

More Databricks pros

"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."

"It stands out for its ability to work across different platforms, support mainframe data, offer cloud integration, automate report scheduling, and provide a robust scripting language."

"The solution can read and write 500 different types of outputs."

"The most valuable feature is building ad hoc reports."

Cons

"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."

"I would love an integration in my desktop IDE. For now, I have to code on their webpage."

"It's not easy to use, and they need a better UI."

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."

"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."

"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."

"The integration and query capabilities can be improved."

"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

"If there were to be any improvements right now, their documentation needs to get in sync with their product."

"The challenge lies not in what the tool can do but in how you use it and understand the data."

"The solution can be improved by adding more automated options for reporting."

"When it comes to customer support, we don't always reach the right person. Sometimes, we get junior-level reps who aren't as knowledgeable as we are."

Pricing and Cost Advice

"The solution is based on a licensing model."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

"The billing of Databricks can be difficult and should improve."

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

"We have only incurred the cost of our AWS cloud services. This is because during this period, Databricks provided us with an extended evaluation period, and we have not spent much money yet. We are just starting to incur costs this month, I will know more later on the full cost perspective."

"The price is okay. It's competitive."

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

"It is an expensive tool. The licensing model is a pay-as-you-go one."

More Databricks pricing and cost advice

"I would rate the pricing a five out of ten, with ten being expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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 ...

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Information Builders WebFOCUS?

I would rate the pricing a five out of ten, with ten being expensive.

See all answers

What needs improvement with Information Builders WebFOCUS?

Documentation could definitely be improved.

See all answers

What is your primary use case for Information Builders WebFOCUS?

I use it for supplying and developing business intelligence (BI) solutions, data management and reporting applications, and for the development of complete web-based applications. It's a versatile ...

See all answers

Comparisons

Dataiku vs Databricks

Compared 11% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Dremio vs Databricks

Compared 8% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Tableau vs Databricks

Compared 5% of the time

More Databricks Competitors

Microsoft Power BI vs ibi WebFOCUS

Compared 55% of the time

Tableau vs ibi WebFOCUS

Compared 45% of the time

More ibi WebFOCUS Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

ibi WebFOCUS

March 2025

Download ibi WebFOCUS product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

WebFOCUS

Overview

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.

Databricks

WebFOCUS is a strategic enterprise business intelligence (BI) and analytics platform that enables any executive, manager, analyst, employee, partner, or customer to execute smarter business from trusted data. The platform includes cutting-edge capabilities that provide organizations with everything they need to turn data into insight, and insight into impact.

Information Builders

Sample Customers

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

Ace Hardware, AutoZone, Fred Hutch, MasterCard, OFS Brands, PostFinance, Real D, Yellow Pages, ABC Financial, AcuSport, BBVA, Babcock

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: March 2025.

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