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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
7th
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
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th)
 

Mindshare comparison

As of August 2026, in the Streaming Analytics category, the mindshare of Confluent is 6.4%, down from 8.3% compared to the previous year. The mindshare of Databricks is 7.5%, down from 13.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Databricks7.5%
Confluent6.4%
Other86.1%
Streaming Analytics
 

Featured Reviews

PavanManepalli - PeerSpot reviewer
AVP - Sr Middleware Messaging Integration Engineer at Wells Fargo
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.
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.

Quotes from Members

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

Pros

"We ensure seamless management of Kafka through Confluent, allowing all of our Kafka activities to be handled by a third party."
"As an enterprise organization, data availability is critical and Confluent provides that SLA support."
"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."
"Having used SharePoint in the past, when I compare with traditional, old document repositories, like SharePoint, I would definitely recommend Confluent."
"We primarily use Confluent for service desk and task management, and it is also good for knowledge base management."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"The features I find most useful in Confluent are the Multi-Region Cluster, MRC, and the Cluster Linking for replication."
"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."
"Its lightweight and fast processing are valuable."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The capability of the product is quite good and we are very satisfied with it overall."
"Databricks is a unified platform that provides features like streaming and batch processing so all the data scientists, analysts, and engineers can collaborate on a single platform and it has all the features you need, so you don't need to go for any other tool."
"The most valuable feature is the versatility of the ecosystem."
"It is a cost-effective solution."
 

Cons

"Confluence could improve the server version of the solution. However, most companies are going to the cloud."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"The beginner who doesn't know how to work on HTML will struggle as when you create spaces in the Confluent, if you want to have some meeting notes or anything else, you need to know HTML and which HTML tags to include."
"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."
"In Confluent, there could be a few more VPN options."
"Confluent has a good monitoring tool, but it's not customizable."
"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."
"It requires some application specific connectors which are lacking. This needs to be added."
"I would like it if Databricks made it easier to set up a project."
"From a purely technical perspective, I would rate Databricks an eight out of ten. However, there is a failure in terms of user adoption."
"Anyone who doesn't know SQL may find the product difficult to work with."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"I believe that this product could be improved by becoming more user-friendly."
"It would be great if Databricks could integrate all the cloud platforms."
 

Pricing and Cost Advice

"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."
"Confluent is an expensive solution."
"Confluent is highly priced."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"The solution is cheaper than other products."
"You have to pay additional for one or two features."
"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
"The solution is affordable."
"The cost is around $600,000 for 50 users."
"The price is okay. It's competitive."
"I would rate the tool’s pricing an eight out of ten."
"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."
"We implement this solution on behalf of our customers who have their own Azure subscription and they pay for Databricks themselves. The pricing is more expensive if you have large volumes of data."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
12%
Computer Software Company
8%
Manufacturing Company
6%
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
6%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise4
Large Enterprise17
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise58
 

Questions from the Community

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 ...
What is your primary use case for Confluent?
The main use cases for Confluent are log aggregation and streaming. I'm familiar with Confluent stream processing with KSQL. KSQL helps in terms of data analytics strategies because if we are the d...
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: June 2026.
908,800 professionals have used our research since 2012.