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Confluent vs Databricks comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

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

Confluent
Ranking in Streaming Analytics
3rd
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
No ranking in other categories
Databricks
Ranking in Streaming Analytics
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
91
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st)
 

Mindshare comparison

As of November 2025, in the Streaming Analytics category, the mindshare of Confluent is 7.8%, down from 9.3% compared to the previous year. The mindshare of Databricks is 11.8%, down from 13.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Market Share Distribution
ProductMarket Share (%)
Databricks11.8%
Confluent7.8%
Other80.4%
Streaming Analytics
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.
ShubhamSharma7 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"The features I find most useful in Confluent are the Multi-Region Cluster, MRC, and the Cluster Linking for replication."
"The biggest benefit of Confluent as a tool is that it is a distributed platform that provides more durability and stability."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"The monitoring module is impressive."
"It is also good for knowledge base management."
"The initial setup phase of Databricks was good."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"We can scale the product."
"The time travel feature is the solution's most valuable aspect."
"The fast data loading process and data storage capabilities are great."
"It is fast, it's scalable, and it does the job it needs to do."
"Ability to work collaboratively without having to worry about the infrastructure."
 

Cons

"It could be improved by including a feature that automatically creates a new topic and puts failed messages."
"It would help if the knowledge based documents in the support portal could be available for public use as well."
"There is a limitation when it comes to seamlessly importing Microsoft documents into Confluent pages, which can be inconvenient for users who frequently work with Microsoft Office tools and need to transition their content to Confluent."
"It could have more integration with different platforms."
"Confluent has fallen behind in being the tool of the industry. It's taking second place to things such as Word and SharePoint and other office tools that are more dynamic and flexible than Confluent."
"It requires some application specific connectors which are lacking. This needs to be added."
"The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"The API deployment and model deployment are not easy on the Databricks side."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The Databricks cluster can be improved."
"The product cannot be integrated with a popular coding IDE."
"The pricing of Databricks could be cheaper."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"In the next release, I would like to see more optimization features."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
 

Pricing and Cost Advice

"Confluent is highly priced."
"Confluent is an expensive solution."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."
"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
"It comes with a high cost."
"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"The pricing depends on the usage itself."
"It is an expensive tool. The licensing model is a pay-as-you-go one."
"Databricks are not costly when compared with other solutions' prices."
"Price-wise, I would rate Databricks a three out of five."
"The product pricing is moderate."
"I rate the price of Databricks as eight out of ten."
"There are different versions."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Retailer
8%
Manufacturing Company
6%
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
 

Questions from the Community

What do you like most about Confluent?
I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and to...
What is your experience regarding pricing and costs for Confluent?
They charge a lot for scaling, which makes it expensive.
What needs improvement with Confluent?
I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about ...
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...
 

Comparisons

 

Also Known As

No data available
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Find out what your peers are saying about Confluent vs. Databricks and other solutions. Updated: September 2025.
873,209 professionals have used our research since 2012.