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 7.8% mindshare in the category. Information Builders is ranked #7 in PA , with an average rating of 8.0, and holds a 1.3% 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

2,340 Views
1,659 Comparison Views

96% willing to recommend

ibi WebFOCUS

Read 18 ibi WebFOCUS reviews

72 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: February 2025).

Buyer's Guide

Cloud Data Warehouse

February 2025

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Helped 841,004 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 (7th), 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 7.8%, up 2.9% compared to last year.
ibi WebFOCUS, on the other hand, focuses on Predictive Analytics, holds 1.3% 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.

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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

"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."

"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."

"The solution is easy to use and has a quick start-up time due to being on the cloud."

"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."

"Databricks offers various courses that I can use, whether it's PySpark, Scala, or R."

"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."

"The setup was straightforward."

"I would rate them ten out of ten."

More Databricks pros

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

"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."

Cons

"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."

"They release patches that sometimes break our code. These patches are supposed to fix issues, but sometimes they cause disruptions."

"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."

"One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files. Standardization of file paths on the system could help, as engineers sometimes struggle."

"I think setting up the whole account for one person and giving access are areas that can be difficult to manage and should be made a little easier."

"The integration and query capabilities can be improved."

"Costs can quickly add up if you don't plan for it."

"We often use a single cluster to ingest Databricks, which Databricks doesn't recommend. They suggest using a no-cluster solution like job clusters. This can be overwhelming for us because we started smaller."

More Databricks cons

"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."

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

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

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

Pricing and Cost Advice

"I would rate the tool’s pricing an eight out of ten."

"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."

"The cost is around $600,000 for 50 users."

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

"I rate the price of Databricks as eight out of ten."

"There are different versions."

"The basic version of this solution is now open-source, so there are no license costs involved. However, there is a charge for any advanced functionality and this can be quite expensive."

"The solution is based on a licensing model."

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

21%

Manufacturing Company

10%

Government

Computer Software Company

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 8% of the time

Amazon SageMaker vs Databricks

Compared 6% of the time

More Databricks Competitors

Microsoft Power BI vs ibi WebFOCUS

Compared 45% of the time

Tableau vs ibi WebFOCUS

Compared 38% of the time

More ibi WebFOCUS Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

Download Databricks product report

Buyer's Guide

ibi WebFOCUS

February 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: February 2025.

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