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Confluent vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
25
Ranking in other categories
Streaming Analytics (6th)
Toad Data Point
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
9
Ranking in other categories
Data Integration (21st), Data Preparation Tools (3rd)
 

Mindshare comparison

Confluent and Toad Data Point aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.6%, down 8.2% compared to last year.
Toad Data Point, on the other hand, focuses on Data Integration, holds 0.8% mindshare, up 0.5% since last year.
Streaming Analytics Mindshare Distribution
ProductMindshare (%)
Confluent6.6%
Apache Flink8.9%
Databricks8.1%
Other76.4%
Streaming Analytics
Data Integration Mindshare Distribution
ProductMindshare (%)
Toad Data Point0.8%
SSIS3.7%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other91.9%
Data Integration
 

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.
Sudunagunta Bhavya Lekha - PeerSpot reviewer
Junior Data Analyst at Lumendata
Drag-and-drop workflows have accelerated cross-database analysis and simplified daily reporting
I consider user interface modernization in Toad Data Point to be an area for improvement; it could be enhanced with a more modern, web-based look and smoother navigation, focusing on better UX and dashboard customization. Real-time collaboration could benefit from trying Git-style integration, which would strengthen team collaboration features. Performance with large data sets sometimes slows down our workflows, so implementing a better optimization engine specifically for big data workflows could enhance functionality, along with improvements in cloud-native deployment for better browser access. For the dashboarding feature, I believe Toad Data Point could improve by offering more interactive dashboards and advanced visualizations beyond the current basic charts and pivots. Implementing capabilities such as drill-down, interactive filters, and dynamic parameter selections would align more with BI-style interactivity. Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience.

Quotes from Members

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

Pros

"The client APIs are the most valuable feature."
"We primarily use Confluent for service desk and task management, and it is also good for knowledge base management."
"As an enterprise organization, data availability is critical and Confluent provides that SLA support."
"I would rate the scalability of the solution at eight out of ten. We have 20 people who use Confluent in our organization now, and we hope to increase usage in the future."
"Their tech support is amazing; they are very good, both on and off-site."
"With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared."
"The design of the product is extremely well built and it is highly configurable."
"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."
"In my opinion, the best features that Toad Data Point offers are the security that it provides when connecting all sorts of databases, and moreover, we do not have to rely on multiple DB connectors for that; we can use Toad Data Point as a single source of connections for all DBs, and that serves the purpose of connecting all these DB flavors that we have in the industry on a single platform instead of installing multiple DBs and their UI."
"We had an unsupported version of Hyperion that needed to be replaced, and Toad Data Point allowed us to quickly transition to a similar solution and to easily convert all of our preexisting queries (more than 300) to the new solution with minimum effort."
"The best thing about it is its automation features."
"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."
"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."
"I have never experienced any issues with customer service."
"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."
"Toad Data Point made our query testing a lot faster and more efficient, and we saw a lot of time-saving in our development process."
 

Cons

"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."
"The pricing model should include the ability to pick features and be charged for them only."
"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."
"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."
"there is room for improvement in the visualization."
"Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools."
"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."
"There is no local support team in Saudi Arabia."
"Toad Data could improve by having additional features, such as query prediction."
"On the scheduling server, some scheduled reports just sit there and never execute for the first time."
"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."
"Visualizations compared to tools such as Microsoft Power BI or Tableau are quite limited, so enhancing this area with cloud-hosted interactive dashboards and seamless auto-refresh options would greatly improve user experience."
"What could be improved is probably the user interface."
"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."
"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."
"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."
 

Pricing and Cost Advice

"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."
"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."
"Confluent is an expensive solution as we went for a three contract and it was very costly for us."
"You have to pay additional for one or two features."
"Confluent has a yearly license, which is a bit high because it's on a per-user basis."
"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
"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."
"The solution is cheaper than other products."
"The price of Toad Data Point was approximately $500 annually."
"The cost of this product is reasonable."
"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Retailer
11%
Computer Software Company
10%
Manufacturing Company
5%
Financial Services Firm
20%
Healthcare Company
9%
Comms Service Provider
8%
Construction Company
8%
 

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 Business2
Midsize Enterprise1
Large Enterprise5
 

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...
What is your experience regarding pricing and costs for Toad Data Point?
The pricing is cost-effective; it is neither too cheap nor too expensive, it's a good value.
What needs improvement with Toad Data Point?
Areas for improvement in Toad Data Point usage could include a better UI interface, building in AI assistance, and faster performance for large databases, especially since accessing a terabyte of d...
What is your primary use case for Toad Data Point?
My use case is mainly for business analysis, and I also use it for some parts of machine learning and AI, and in some cases, I use it for healthcare purposes.
 

Overview

 

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
Concordia University
Find out what your peers are saying about Confluent vs. Toad Data Point and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.