Databricks vs TIBCO Data Science comparison

Databricks and TIBCO are both solutions in the Data Science Platforms category. Databricks is ranked #1 with an average rating of 8.3, while TIBCO is ranked #25. Databricks holds a 9.3% mindshare in Data Science Platforms, compared to TIBCO’s 1.4% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Databricks

Read 93 Databricks reviews

18,865 Views
8,112 Comparison Views

96% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

720 Views
713 Comparison Views

100% willing to recommend

Databricks

TIBCO Data Science

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

Databricks and TIBCO Data Science compete in the data science and analytics space. Databricks appears to have an advantage in scalability and collaborative features, whereas TIBCO Data Science is favored for its comprehensive analytics and integration capabilities.

Features: Databricks offers collaborative features, seamless integration with data sources, and strong machine learning capabilities. TIBCO Data Science focuses on providing analytics options, real-time insights, and robust integration within enterprise environments.

Room for Improvement: Databricks could improve integration with enterprise systems, offer more advanced analytics options, and enhance its real-time data processing capabilities. TIBCO Data Science may need to work on reducing deployment time, improving its cost-effectiveness, and offering more agile scaling options.

Ease of Deployment and Customer Service: Databricks provides a cloud-based deployment model that allows quick setup and flexible scaling, with a responsive customer support system. TIBCO Data Science offers both on-premise and cloud-deployment models with robust integration with enterprise systems, which may require more initial setup time, along with dedicated service support.

Pricing and ROI: Databricks presents a flexible pricing model with lower initial setup costs, focusing on delivering improved ROI through scalability. TIBCO Data Science may involve higher initial investment but delivers high ROI for companies needing comprehensive data solutions, potentially offering greater long-term value for complex data needs.

To learn more, read our detailed Databricks vs. TIBCO Data Science Report (Updated: December 2025).

Buyer's Guide

Databricks vs. TIBCO Data Science

December 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

Databricks

Ranking in Data Science Platforms

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of Databricks is 9.3%, down from 18.8% compared to the previous year. The mindshare of TIBCO Data Science is 1.4%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Databricks	9.3%
TIBCO Data Science	1.4%
Other	89.3%

Data Science Platforms

Featured Reviews

Satyam Wagh

Consultant at Nice Software Solutions

Unified data workflows have cut ticket processing times and are driving faster business insights

Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.

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JacekSierajewski

Tibco Spotfire Expert (contractor via Amaris) at GSK

Good performance, reporting, and data visualization

The two similar solutions that I have used are MicroStrategy and Tableau. Tableau is pretty similar and it would be difficult for me to point out the differences. With MicroStrategy, it has a great feature where you build the representation in the database and it then the tool creates SQL queries by itself. There are more differences between these tools but this is the one essential difference.

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 most valuable feature of Databricks is the integration with Microsoft Azure."

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

"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."

"Automation with Databricks is very easy when using the API."

"The solution is very simple and stable."

"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."

"Databricks has a Unified Catalog that assists with secured access and governance."

"The most valuable feature of Databricks is the notebook, data factory, and ease of use."

More Databricks pros

"The idea that you don't have to generate reports each day but they are sent automatically is great."

"The most valuable feature is the ease of setting up visualizations."

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The most valuable feature is the performance."

Cons

"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."

"There is room for improvement in the documentation of processes and how it works."

"I would like it if Databricks made it easier to set up a project."

"The integration features could be more interesting, more involved."

"My experience with the pricing and licensing model is that it remains relatively expensive. Though it's less expensive than AWS, we still need a more cost-effective solution."

"In the next release, I would like to see more optimization features."

"However, the platform could become easier to use."

"I believe that this product could be improved by becoming more user-friendly."

More Databricks cons

"The scripting for customization could be improved."

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"I would like the visualization for the map of countries to be more easily configurable."

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 solution is affordable."

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

"Databricks uses a price-per-use model, where you can use as much compute as you need."

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

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

"Databricks' cost could be improved."

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	56

No data available

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 ...

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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...

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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...

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Product Reports

Buyer's Guide

Databricks

February 2026

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Buyer's Guide

Data Science Platforms

February 2026

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Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Alpine Data Chorus

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

Sample Customers

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

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

Databricks vs. TIBCO Data Science

December 2025

Free Report: Databricks vs. TIBCO Data Science

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