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Databricks vs TIBCO Streaming comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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 Streaming Analytics
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (6th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th)
TIBCO Streaming
Ranking in Streaming Analytics
24th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
Complex Event Processing (CEP) (1st)
 

Mindshare comparison

As of April 2026, in the Streaming Analytics category, the mindshare of Databricks is 9.0%, down from 14.2% compared to the previous year. The mindshare of TIBCO Streaming is 1.2%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Databricks9.0%
TIBCO Streaming1.2%
Other89.8%
Streaming Analytics
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
MK
Head of Data and Analytics Solutions at a tech vendor with 201-500 employees
Good stability and scalability with the capability to combine with Spotfire
The ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool. When you can combine live data from streaming data sources with standing data from the customer's primary database then you can calculate some KPIs or thresholds based on the previous information. We can do data science, machine learning methods or just clever queries. You can view all this online. If a KPI hits a redline, you can send alerts, which is the solution's most functional feature.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"I think what I value is more about the technology itself because you don't need to have too much knowledge to be able to use the solution."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"One of the newest features brought into this solution provides you with a way to solve, deploy, and train models using the platform itself, or it can connect to your Azure Machine Learning in order to train, deploy, and productionalize some of the machine learning models."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The initial setup of Databricks is straightforward and simple."
"The ability for StreamBase to combine with Spotfire is its most valuable aspect. The ability to handle data in motion and the entirety of data at the same time is very good. If you don't integrate the two together it's just a monitoring tool, but if they're combined together it becomes a powerful analytical tool."
"The ability for StreamBase to combine with Spotfire is its most valuable aspect."
 

Cons

"Databricks does not always have clear updates. Often we find an update in the tool but we are not really sure what has changed."
"Implementation of Databricks is still very code heavy."
"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."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"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."
"There are no direct connectors — they are very limited."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"The integration of data could be a bit better."
"The solution should be more user-friendly for developers. Right now, you need a strong programmer to tune the solution."
"The solution should be more user-friendly for developers. Right now, you need a strong programmer to tune the solution. It's complicated product. I'm not sure if it can be done via self-service with BI. Because I'm from BI, I want more simplicity."
 

Pricing and Cost Advice

"The solution is based on a licensing model."
"The product pricing is moderate."
"The cost is around $600,000 for 50 users."
"We pay as we go, so there isn't a fixed price. It's charged by the unit. I don't have any details detail about how they measure this, but it should be a mix between processing and quantity of data handled. We run a simulation based on our use cases, which gives us an estimate. We've been monitoring this, and the costs have met our expectations."
"The price of Databricks is reasonable compared to other solutions."
"The billing of Databricks can be difficult and should improve."
"Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
Financial Services Firm
17%
Construction Company
15%
Manufacturing Company
12%
Transportation Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise56
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 ...
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...
Ask a question
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
TIBCO Streambase CEP
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Blendtec, Brembo, CargoSmart, Hunt Oil, Autodata, Bank of Montreal
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Microsoft and others in Streaming Analytics. Updated: March 2026.
885,444 professionals have used our research since 2012.