Alteryx has been a long-time favorite for those who needed to clean, blend, and automate their data workflows. But, with their high pricing and the availability of more affordable, equally powerful options, many are looking around for the best Alteryx competitors and alternatives.
If you’re one of those seeking a different solution, or just curious to see what else is out there, you’re in luck. We’ve identified the following tools as the top competitors to Alteryx.
- Mammoth – Affordable, easier to use, and great for data transformation and automation.
- Tableau – Best for creating data visuals and dashboards.
- Microsoft Power BI – Great for reporting and integrates well with Microsoft tools.
- Databricks – Ideal for big data and machine learning.
- KNIME – Free and flexible, with strong data prep and machine learning features.
- RapidMiner – Excellent for predictive analytics and machine learning.
- Talend – Best for ETL and data integration.
Keep reading for a detailed breakdown on each.
An Overview of The Top Alteryx Competitors
| Tool | Ease of Use | Price | Features |
| Alteryx | Really easy to use with drag-and-drop, but can get complicated for advanced users. | Paid plans start at $5,195 per user annually. | Awesome for data prep, analytics, and automation. Has strong workflow automation but weaker visualization tools. |
| Mammoth | Super easy and built for simplicity. Non-technical users can pick it up quickly. | Starts at $29/month with a 14-day free trial. | Focuses on data automation and transformation, with easy-to-customize workflows. Unique from any other tool in offering data exploration and discovery features. Great for businesses of all sizes. |
| Tableau | Very user-friendly for making visuals, but takes a bit of time to learn advanced features. | Paid plans start at $70 per user per month. | Best for data visualization and dashboards, but not great for data prep or automation. |
| Microsoft Power BI | Easy to use for basic reporting and integrates well with Microsoft tools. There’s a learning curve for advanced features. | Free version available. Paid plans start at $10 per user per month. | Good for reporting and dashboards, especially if you’re already using Microsoft tools. Limited automation. |
| Databricks | More complex and really made for data engineers and those comfortable with coding. | Pricing depends on usage, but can get pricey for bigger setups. | Built for big data and machine learning. Very powerful but needs coding skills to use it well. |
| KNIME | Pretty easy with drag-and-drop, but the interface can feel a bit clunky. | Free version available. Paid plans start at $99/month. | Strong for data prep and machine learning, with lots of flexibility and integrations. |
| RapidMiner | Straightforward for machine learning, but might slow down with bigger datasets. | Hidden. Need to contact sales for a quote. | Great for machine learning and predictive analytics, but not as strong for data prep or integration. |
| Talend | Really powerful for data integration but has a steep learning curve. | Hidden. Need to contact sales for a quote. | Awesome for ETL and data pipelines. It’s more about moving and cleaning data than visuals or advanced analytics. |
The Best Alteryx Competitors & Alternatives
1. Mammoth
If you’re looking for a powerful, easy-to-use platform for data transformation and automation, Mammoth might just be your new favorite tool.
What really sets Mammoth apart is how accessible it is. Mammoth is all about speed and simplicity. Get started quickly, and before you know it, you’re transforming data like a pro.
You get the powerful data capabilities you’d expect from a big-name platform, but without the overwhelming complexity or steep learning curve.
Plus, it’s designed to scale, so whether you’re a small business or a larger enterprise, Mammoth will grow with you.
Where Mammoth is Better than Alteryx:
Mammoth offers a much more streamlined user experience compared to Alteryx – you won’t need a team of data scientists to get value out of it.
Mammoth also allows for data exploration and discovery, so you can quickly identify anomalies and trends in your data. A capability none of the other platforms listed here, including Alteryx, have.
It’s even more cost-effective, so you’re getting all the same power without breaking the bank.
So, if you’re looking for speed, simplicity, and automation, go with Mammoth. It’s perfect for those that want to get the most out of their data without any unnecessary complexity.
Give it a try today by starting a 14-day free trial.
2. Tableau
Tableau is a great option for creating interactive dashboards.
What we really like about Tableau is how easy it is to use. You don’t need to be a data expert to drag and drop your way to some pretty impressive visuals.
Where Tableau Shines:
For turning numbers into visuals that are easy to share and understand, Tableau is hard to beat. It’s a great choice for teams that need to present data clearly.
And if you’re on a budget, the free version—Tableau Public—is a nice perk. Just keep in mind, anything you publish there is public for everyone to see.
Where Tableau Falls Short:
If you’re dealing with messy data that needs a lot of cleaning and automation, Tableau won’t do as much as Alteryx. They offer Tableau prep, which helps, but still doesn’t match what Alteryx offers.
To learn more about how they compare, read our breakdown on Alteryx vs. Tableau.
3. Microsoft Power BI
Power BI is another solid option for turning your data into interactive reports and dashboards.
Where Power BI Shines:
For building dashboards and sharing insights, Power BI is fantastic—especially if you’re already using other Microsoft tools.
It’s also much more affordable than Alteryx, with paid plans that don’t break the bank. Plus, there’s a free version to get you started.
Where Power BI Falls Short:
Power BI is more focused on visualization and reporting, so it doesn’t have the same advanced data manipulation and automation features that Alteryx is known for.
If your work involves more than just reporting—like blending, cleaning, or automating large data sets—Power BI might not be enough. Also, while it’s powerful, there’s still a bit of a learning curve compared to some other tools.
4. Databricks
Databricks is built on Apache Spark, which makes it super powerful for crunching massive datasets and running complex analytics.
Where Databricks Shines:
Databricks is perfect for handling big data and running machine learning models. It’s designed for collaboration—data engineers, data scientists, and analysts can all work together in one platform.
It’s also really powerful when it comes to data processing and automation, making it ideal for data engineers and data scientists.
Where Databricks Falls Short:
The main drawback is its complexity—Databricks isn’t as easy to use as Alteryx. You’ll need some coding skills, and it’s definitely overkill if you just want simple data prep, visualization or drag-and-drop simplicity and pre-built workflows.
5. KNIME
KNIME is an open-source platform, which means it’s free to use and super flexible.
Where KNIME Shines:
KNIME is great for advanced analytics, machine learning, and data prep. It also has a nice, visual, drag-and-drop interface that lets you build workflows pretty easily.
Overall, a good choice for teams that want a free tool to collaborate on, and there are tons of plugins available to extend its functionality.
Where KNIME Falls Short:
KNIME’s user interface isn’t as smooth or intuitive as Alteryx, so there’s a bit more of a learning curve. It also doesn’t have the same level of built-in automation or pre-packaged workflows, so it can take longer to set up.
Finally, since it’s open-source, support is more community-driven, which can be a challenge if you need fast or hands-on help.
6. RapidMiner
RapidMiner combines data prep, machine learning, and predictive analytics all in one place.
Where RapidMiner Shines:
RapidMiner is fantastic for anyone diving into machine learning or predictive analytics. It’s easy to use, and the drag-and-drop workflow builder makes it approachable even for non-coders.
The free version is a nice perk for smaller projects (though with some limitations), and it has plenty of built-in algorithms for those focused on advanced analytics.
Where RapidMiner Falls Short:
If you’re working with big data, RapidMiner can sometimes feel a bit slow compared to Alteryx.
Also, while it’s great for machine learning, it doesn’t have the same level of automation or ETL (extract, transform, load) capabilities that Alteryx offers.
7. Talend
Talend is great for data integration, especially for those working with a lot of different data sources and needing something that can handle ETL (extract, transform, load) processes smoothly.
Plus, they have Talend Open Studio, which is totally free, making it an awesome option to save some cash.
Where Talend Shines:
Talend is perfect for data integration. If you’re managing data pipelines or need to move and transform data between different platforms, Talend is top-notch.
It’s also one of the best free tools out there for handling ETL processes, and the paid versions are relatively affordable compared to Alteryx.
Where Talend Falls Short:
The interface can feel a bit clunky, especially if you’re used to more polished tools like Alteryx.
Also, if you’re looking for data visualization or advanced analytics, Talend won’t cover those bases as well as other tools like Tableau or Power BI.
Why Use Alteryx?
Is there any reason you should stick with Alteryx?
Here’s a quick summary of Alteryx’s Pros and Cons:
Alteryx Pros
- Strong data prep and blending tools
- Workflow automation is top-notch
- Powerful for advanced analytics and automation
- Large library of pre-built tools
Alteryx Cons
- Expensive, especially for smaller teams
- Steeper learning curve for new users
- Limited data visualization capabilities
- Paid plans are quite costly for small businesses
Even though Alteryx has its downsides, it might still be the best choice for you if:
You need advanced data prep and automation
If you’re dealing with messy data, or you need to blend, clean, and automate processes on a large scale, Alteryx is one of the best tools for the job.
It offers tons of built-in automation features that can save you a lot of time and effort.
You’re working with large datasets and complex analytics
If your business needs to work with big data or perform complex analyses, Alteryx’s advanced analytics capabilities will serve you well.
It allows you to run sophisticated models, handle large datasets with ease, and automate data transformations.
You need customizable workflows
Alteryx provides a lot of flexibility when it comes to building workflows.
Its drag-and-drop interface lets you easily create custom workflows tailored to your specific data needs, which is great if you have unique or complex processes to manage.
When Should You Look For Alteryx Alternatives?
If you’re considering alternatives to Alteryx, it’s important to know why.
Here are some key areas where Alteryx might not be the perfect fit, and some alternatives that could better suit your needs:
You’re on a tight budget
Alteryx is a powerful tool, but it’s not the cheapest option out there. Its pricing can get steep, especially if you’re a small or mid-sized business.
If cost is a concern, and you don’t need all of Alteryx’s advanced features, there are more affordable solutions available that still pack a punch.
Cheaper Alteryx alternatives: KNIME, Mammoth, RapidMiner, Talend
You need better data visualization
While Alteryx is great for data prep and automation, its data visualization features are fairly limited.
If your main focus is on creating interactive dashboards and sharing visual insights, you might find that a tool like Tableau or Power BI is a better fit.
Alteryx alternatives for data visualization: Tableau, Microsoft Power BI
You want to handle big data or machine learning
Alteryx is powerful, but if you’re working with massive datasets or need advanced machine learning capabilities, there are better tools for those tasks.
Platforms like Databricks are designed to handle big data and machine learning workflows with ease.
Alteryx alternatives for big data and machine learning: Databricks, KNIME
You need strong data integration and ETL capabilities
Alteryx is solid for automating workflows, but if your focus is more on moving and cleaning large amounts of data from different sources, tools that specialize in data integration may be a better fit.
Platforms like Mammoth excel in ETL processes and make it easy to manage your data pipelines.
Alteryx alternatives for data integration and ETL: Talend, Mammoth
You need to identify anomalies and trends in your data
Aside from Mammoth, none of the tools on this list allow for data exploration and discovery. So, if you need a platform that enables you to quickly discover anomalies and trends in your data, you’ll want to check out Mammoth.
Alteryx alternatives for collaboration: Mammoth.
You want a simpler, more user-friendly tool
While Alteryx is intuitive for advanced users, beginners or smaller teams may find it overwhelming.
If you’re looking for something that’s easier to use but still powerful enough to handle your data prep and automation needs, Mammoth is a great option that balances power with simplicity.
User-friendly Alteryx alternatives: Mammoth, RapidMiner
You’re focused on data privacy and security
Data protection is a major concern for many businesses, especially those handling sensitive customer data or operating in regions with strict privacy regulations like the EU.
While Alteryx offers security features, it might not be the best choice for those needing top-tier data privacy or EU-based data storage.
Alteryx alternatives for strong data privacy: Mammoth, Talend, KNIME
Alteryx Competitors & Alternatives: Conclusion
There are plenty of solid Alteryx alternatives out there that can fit your data needs—it’s all about finding the right tool for you.
If you’re looking for a simple, cost-effective option, Mammoth or KNIME are great choices. Both offer powerful features without the hefty price tag.
For those who care more about data visualization, Tableau and Microsoft Power BI are your go-to tools. They’re fantastic for building interactive dashboards that you can easily share with your team.
If you’re dealing with big data or working on machine learning projects, check out Databricks. It’s made for handling large datasets and complex workflows, so it’s a top pick for more technical users.
For strong data integration and ETL needs, both Talend and Mammoth offer flexible, powerful solutions to help you manage and transform your data with ease.
If you’re still unsure and want a tool that balances ease of use, powerful automation, and budget-friendly pricing, why not give Mammoth a try? Sign up for a 14-day trial and get started in less than a minute.
Alteryx Competitors: Frequently Asked Questions
Who is the main competitor of Alteryx?
Some of the top alternatives include Mammoth for data automation, KNIME for a free, flexible option, and Databricks if you’re dealing with big data or machine learning. Tableau and Power BI are also great alternatives if you’re more focused on data visualization.
What is Google’s equivalent of Alteryx?
Google doesn’t have a direct equivalent to Alteryx, but Google Cloud Platform (GCP) offers several data processing tools that could cover similar ground. BigQuery is a standout for big data analytics and Dataflow is useful for data transformation and integration.
Is Alteryx a competitor of Tableau?
Yes, in a way. While Alteryx and Tableau are both used in data analytics, they focus on different things. Alteryx is more about data prep, cleaning, and automation, while Tableau shines when it comes to data visualization and building interactive dashboards.
Is Alteryx still relevant?
Absolutely! Alteryx is still a top choice for businesses that need to clean, transform, and automate data workflows. It’s especially great for companies dealing with large amounts of data that need more advanced prep and automation tools.
