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Alteryx Designer vs StreamSets 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

Alteryx Designer
Ranking in Data Integration
12th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
31
Ranking in other categories
No ranking in other categories
StreamSets
Ranking in Data Integration
9th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2025, in the Data Integration category, the mindshare of Alteryx Designer is 3.1%, down from 4.3% compared to the previous year. The mindshare of StreamSets is 1.9%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Ajay Nayak - PeerSpot reviewer
An easy-to-use automation solution with satisfying customer support
Sometimes, while getting data from a third-party product, like data sources that are not present in your system, Alteryx works a bit slowly. Even if you have a good configuration and you are pulling data from an SQL server like SAP, then the solution also has a slow work process. It shouldn't be that much slow if you are pulling ten thousand records, it should not take thirty minutes.
Reyansh Kumar - PeerSpot reviewer
We no longer need to hire highly skilled data engineers to create and monitor data pipelines
The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, 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. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

Quotes from Members

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

Pros

"It has great UI."
"The main valuable aspect is the simplicity of use across all features."
"The functionality of drag and drop is the most valuable. It is a very user-friendly tool that can be understood easily. My teams also work with other solutions, such as Integration Services, and these solutions are very difficult for people who don't have technical knowledge."
"The product is very stable. The performance is reliable."
"One of the things I like about Alteryx Designer is how easy it is to connect numerous data inputs, including API connectors. This helps tremendously in reducing the time required to extract data from systems like SAP that don't have straightforward connectivity options."
"The main valuable aspect is the simplicity of use across all features."
"Alteryx Designer is easier to use for machine learning models. However, I am not very good at Python scripts which you will need to make the machine learning scripts."
"Alteryx Designer's user interface is great, as it is very user-friendly."
"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 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."
"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 most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."
"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."
"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."
 

Cons

"We need more documentation."
"Its cost can sometimes be a drawback."
"If the price were reduced then it would be more competitive."
"Its price can be improved. It is too expensive for our country. Because of its high price, we can't sell Alteryx Designer in this region. We used to be their reseller partner. There is also an additional cost for automating the data and running the flows, which makes it even more expensive. It will be very good if they can let users automate the data for free. Other solutions like Tableau provide this feature for free."
"The product could offer more connectors and more databases with support for the in-database function."
"Improving the key-based sign-on process and making it more user-friendly would be a benefit."
"The major concern in Alteryx Designer stems from the high costs attached to the product."
"For smaller clients with ten to 15 employees, Alteryx can be expensive."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."
"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"Visualization and monitoring need to be improved and refined."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."
"Using ETL pipelines is a bit complicated and requires some technical aid."
"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."
 

Pricing and Cost Advice

"I rate the price of Alteryx Designer as a five on a scale of one to ten, where one is extremely expensive, and ten is a highly cheap product."
"Each license is something like $4,000."
"The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."
"It is too expensive for our country. We are a small country, so it is too difficult to sell this solution. With Alteryx Designer, if you want to automate the data and run the flows, you have to pay more money. We were trying to automate the flows, and we found out that people have to pay 600 more for this feature, which makes it even more expensive. We are a partner for Tableau, and we are working with Tableau Prep, which is like a mini Alteryx. In Tableau Prep, you can drag and drop and make new connections with the different data sources. You can make all the connections. You can also publish a source. You don't have to pay more money with Tableau. You pay like $5 per user per month to access it."
"Alteryx Designer is a very expensive solution."
"I rate the product's pricing a two to three out of ten."
"Alteryx Designer is an expensive solution."
"I rate the price of Alteryx Designer a ten on a scale of one to ten, where one is low price and ten is high price."
"I believe the pricing is not equitable."
"It has a CPU core-based licensing, which works for us and is quite good."
"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."
"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."
"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."
"We are running the community version right now, which can be used free of charge."
"StreamSets is expensive, especially for small businesses."
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Top Industries

By visitors reading reviews
Educational Organization
25%
Financial Services Firm
16%
Manufacturing Company
8%
Computer Software Company
6%
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
11%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Alteryx Designer?
When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.
What is your experience regarding pricing and costs for Alteryx Designer?
It's cheaper than Palantir, but even Alteryx is too much for small clients. It is expensive, considering the server capabilities.
What needs improvement with Alteryx Designer?
For smaller clients with ten to 15 employees, Alteryx can be expensive. The server capabilities are costly too. The technical support could also improve by being quicker in response times.
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?
We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which ...
What is your primary use case for StreamSets?
StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...
 

Learn More

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Overview

Information not available
 

Sample Customers

Information Not Available
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Find out what your peers are saying about Alteryx Designer vs. StreamSets and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.