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StreamSets vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 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

StreamSets
Ranking in Data Integration
22nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
Toad Data Point
Ranking in Data Integration
30th
Average Rating
9.0
Reviews Sentiment
7.6
Number of Reviews
5
Ranking in other categories
Data Preparation Tools (6th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of StreamSets is 1.2%, down from 1.6% compared to the previous year. The mindshare of Toad Data Point is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
StreamSets1.2%
Toad Data Point0.8%
Other98.0%
Data Integration
 

Featured Reviews

SS
Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees
Enables effective batch loading with visual interface and enterprise support
One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.
Facilitates seamless connections and automation across multiple data sources
Toad Data Point should include more features for utilizing AI, which can automatically perform many tasks. The tool should have a feature where, if I convert my Oracle connection, the code, whether a select statement or anything else, should automatically convert into Oracle format. The same with SQL. When connecting to SQL, the code should be in SQL format, and when connecting to Teradata, it should be in Teradata format. Since not everyone knows all languages, there should be a feature that automatically converts code into the desired format. It's not user-friendly. Once you start using it, you eventually get to know the features.

Quotes from Members

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

Pros

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."
"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"
"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."
"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."
"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."
"The most valuable features are the option of integration with a variety of protocols, languages, and origins."
"We love it."
"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."
"The best thing about it is its automation features."
"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."
"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."
"With Toad Data Point, I can automate most steps automatically."
"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."
 

Cons

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."
"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."
"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."
"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."
"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."
"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."
"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."
"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. Scalability is difficult when it is that costly."
"It's not user-friendly. Once you start using it, you eventually get to know the features."
"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."
"It's not user-friendly. Once you start using it, you eventually get to know the features."
"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."
"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."
 

Pricing and Cost Advice

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."
"We are running the community version right now, which can be used free of charge."
"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."
"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
"It has a CPU core-based licensing, which works for us and is quite good."
"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."
"It's not so favorable for small companies."
"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."
"The price of Toad Data Point was approximately $500 annually."
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Top Industries

By visitors reading reviews
Insurance Company
8%
Financial Services Firm
8%
Manufacturing Company
8%
Computer Software Company
8%
Financial Services Firm
29%
Healthcare Company
9%
Manufacturing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise11
No data available
 

Questions from the Community

What do you like most about StreamSets?
The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...
What needs improvement with StreamSets?
One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infr...
What is your primary use case for StreamSets?
We are using StreamSets for batch loading.
What is your experience regarding pricing and costs for Toad Data Point?
The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...
What needs improvement with Toad Data Point?
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.
What is your primary use case for Toad Data Point?
When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.
 

Overview

 

Sample Customers

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Concordia University
Find out what your peers are saying about StreamSets vs. Toad Data Point and other solutions. Updated: January 2026.
881,114 professionals have used our research since 2012.