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 #24. Databricks holds a 18.5% mindshare in Data Science Platforms, compared to TIBCO’s 0.6% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

Databricks

Read 88 Databricks reviews

15,712 Views
11,084 Comparison Views

96% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

330 Views
255 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: January 2025).

Buyer's Guide

Databricks vs. TIBCO Data Science

January 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 (7th), Streaming Analytics (1st)

TIBCO Data Science

Ranking in Data Science Platforms

24th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Databricks is 18.5%, up from 18.7% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

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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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. 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. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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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

"There are good features for turning off clusters."

"The ability to stream data and the windowing feature are valuable."

"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

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

"Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."

"The most valuable feature is the ability to use SQL directly with Databricks."

"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."

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

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

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

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

"Databricks' technical support takes a while to respond and could be improved."

"The Databricks cluster can be improved."

"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."

"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."

"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."

More Databricks cons

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

"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."

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

"The scripting for customization could be improved."

Pricing and Cost Advice

"The product pricing is moderate."

"The cost for Databricks depends on the use case. I work on it as a consultant, so I'm using the client's Databricks, so it depends on how big the client is."

"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."

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

"The pricing depends on the usage itself."

"The price of Databricks is reasonable compared to other solutions."

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

More Databricks pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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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Comparisons

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Compared 11% of the time

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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

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Amazon SageMaker vs TIBCO Data Science

Compared 36% of the time

TIBCO Statistica vs TIBCO Data Science

Compared 33% of the time

More TIBCO Data Science Competitors

Product Reports

Buyer's Guide

Databricks

March 2025

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Buyer's Guide

Data Science Platforms

February 2025

Download TIBCO Data Science product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Alpine Data Chorus

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

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

January 2025

Free Report: Databricks vs. TIBCO Data Science

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