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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
11th
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
15th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Alteryx Designer is 2.6%, down from 3.6% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.3% 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.
Nantabo Jackie - PeerSpot reviewer
Simplified pipelines and helped us break down data silos within our organization
The design experience when implementing batch streaming or ECL pipelines is very easy and straightforward. When we initially attempted to integrate StreamSets with Kafka, it was somewhat challenging until we consulted the documentation, after which it became straightforward. We use StreamSets to move data into modern analytics platforms. Moving the data into modern analytics platforms is still complex. It requires a lot of understanding of logic. StreamSets enables us to build data pipelines without knowing how to code. StreamSets' ability to build data pipelines without requiring us to know complex programming is very important, as it allows us to focus on our projects without spending time writing code. StreamSets' Transformer for Snowflake is simple to use for designing both simple and complex transformation logic. StreamSets' Transformer for Snowflake is extremely important to me as it helps me to connect external data sources and keep my internal workflow organized. Transformer for Snowflake's functionality is a perfect ten out of ten. It is important and cost-effective that Transformer for Snowflake is a serverless engine embedded within the platform, as without this feature, it would be very expensive. This feature helps us to sell at lower budget costs, which would otherwise be at a high cost with other servers. StreamSets has helped improve our organization. StreamSets simplified pipelines for our organization. It is easier to complete a project when we know where and how to start, and working with the team remotely makes it more efficient. This helps us to save time and be more organized when creating data pipelines. Being a structured company that produces reliable resources for our application benefits both our clients and contacts. StreamSets' built-in data drift resilience plays a part in our ETL operations. With prior knowledge, the built-in data drift resilience is very effective, but it can be challenging to implement without the preexisting knowledge. The built-in data drift resilience reduced the time it takes us to fix data drift breakages by 45 percent. StreamSets helped us break down data silos within our organization. The use of StreamSets to break down data silos enabled us to be confident in the services and products we provide, as well as the real-time streaming we offer. This has had a positive impact on our business, as it allowed us to accurately determine the analytics we need to present to stakeholders, clients, and our sources while ensuring that the process is secure and transparent. StreamSets saved us time because anyone can use StreamSets not just developers. We can save around 40 percent of our time. StreamSets' reusable assets helped us reduce workload by around 25 percent. StreamSets saved us money by not having to hire developers with specialized skills. We saved around $2,000 US. StreamSets helped us scale our data operations. Since StreamSets makes it easy to scale our data operations, it enabled us to know exactly where to start at any time. We are aware of the timeline for completing the project, and depending on our familiarity with the software, we can come up with a solution quickly.

Quotes from Members

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

Pros

"The main valuable aspect is the simplicity of use across all features."
"It helps them to create customized workflows, transform data, perform calculations, and consolidate multiple data sources into a target database."
"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 is stable."
"Workflow automation, in general, is valuable."
"I believe in the ability to connect to multiple data sources, as well as the ease of use to transform data and output data in a variety of formats."
"The tool's most valuable feature is its API connections. Its predictive analytics feature has helped us pass some ETL processes to analysts rather than developers."
"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."
"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 ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."
"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."
"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."
"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."
"The ability to have a good bifurcation rate and fewer mistakes is valuable."
"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."
"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"
 

Cons

"Based on my experience, the tool could be improved by providing sample reports or pre-configured workflows tailored to specific industries, like finance. It needs to integrate an AI chatbot as well."
"The product could offer more connectors and more databases with support for the in-database function."
"The price of the product is an area with certain shortcomings where improvements are required."
"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 actual usage part of it needs to be explained more. It's too vague right now."
"Alteryx needs to improve its web governance. The gallery you use to filter the data is something else that could use some work. For instance, if you have a report connected to a database and want to filter a specific user, you should be able to suggest a specific region or a particular year. I know that the Alteryx isn't designed for data governance, but that would be great to think about."
"Alteryx Designer's cost should be improved."
"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."
"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."
"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."
"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"If you use JDBC Lookup, for example, it generally takes a long time to process data."
"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."
 

Pricing and Cost Advice

"I rate the product's pricing a two to three out of ten."
"Each license is something like $4,000."
"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."
"Alteryx Designer is an expensive solution."
"The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."
"The tool is priced high."
"The pricing is bit expensive."
"It has a CPU core-based licensing, which works for us and is quite good."
"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
"I believe the pricing is not equitable."
"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."
"The pricing is affordable for any business."
"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."
"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."
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Top Industries

By visitors reading reviews
Educational Organization
25%
Financial Services Firm
16%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
8%
 

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...
 

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: March 2025.
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