How we make this list: we compare pricing pages, product documentation and public user reviews. Ratings come from G2, Capterra or Trustpilot, with the date we checked them.
Key takeaways
- KNIME suits free visual data prep and machine learning, while Orange suits free learning and teaching.
- Dataiku suits all-in-one prep plus machine learning and AI governance, while RapidMiner suits visual predictive modeling at about $2,500 per user per year.
- Tableau Prep suits Tableau users at $75 per user per month for Creator Standard, while Power BI suits Microsoft shops at $14 per user per month for Pro.
- Talend suits enterprise data integration pipelines, while dbt suits SQL-first teams with a free Developer plan.
- The target itself costs over $5,000 per user per year for Designer licenses in one report, so free and mid-priced alternatives save far more than headline prices suggest.
Quick comparison
| Tool | Best for | Starting price | Free plan |
|---|
 KNIME | Free visual data prep, ML | Free | Yes |
 Dataiku | All-in-one AI platform | See website | Yes |
 RapidMiner | Visual predictive modeling | $2,500 per user per year | Yes |
 Tableau Prep | Tableau users, data cleaning | $75 per user per month | No |
 Talend | Enterprise data integration | See website | No |
 Orange | Free learning and teaching | Free | Yes |
 Microsoft Power BI | Microsoft shops, Power Query | $14 per user per month | Yes |
 dbt | SQL-first transformation | Free | Yes |
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The best Alteryx alternatives
#1KNIME
Best for: Free visual data prep, ML4.5/5 on
G2 (118 reviews, checked Oct 2026)
Visit knime.com
Starting priceFree
Free planYes
KNIME is the free visual prep pick, with a free open source platform for data preparation, blending, and machine learning, where analysts build pipelines by connecting nodes rather than writing code. Built-in machine learning nodes cover classification, clustering, and forecasting without a separate tool, and the extension ecosystem adds text mining, deep learning, and big data connectors. KNIME pairs well with a BI tool such as Power BI or Tableau.
The trade off is free power against enterprise scaling. KNIME is the honest starting point for teams with more skill than budget, but scheduling, collaboration, and deployment management cost extra. KNIME fits small businesses, analysts, and teams that want serious analytics for free.
What we like- Free open source Analytics Platform
- Visual workflows by connecting nodes
- Built-in machine learning for classification, clustering, and forecasting
- Huge extension ecosystem
- 4.5 out of 5 on G2 with 118 reviews
Watch out for- Scales less smoothly than Talend for large enterprise pipelines
- Server edition for collaboration and scheduling is paid
- Support is community-based unless paid
- Less hand-holding than commercial tools
#2Dataiku
Best for: All-in-one AI platform4.4/5 on
G2 (266 reviews, checked Oct 2026)
Visit dataiku.com
Starting priceSee website
Free planYes
Dataiku is the all-in-one AI platform pick, combining data prep, machine learning, and AI governance in one system, with a Prepare recipe offering 100 plus built-in data transformers, visual recipes or Python, R, and SQL, and visual AutoML. Cobuild, generally available since June 2026, lets users describe a goal and builds pipelines, models, agents, and apps as a visual Flow to review and approve. A 14-day free trial needs no card, and a self-installed Free Edition is available, though free local batch execution was deprecated in April 2026, so scheduling now needs a paid plan.
The trade off is platform breadth against price and migration effort. Dataiku is best when prep feeds models, but teams that only need prep pay for rooms they never use. Dataiku fits data science teams and enterprises that want prep plus models in one governed system.
What we like- Analytics, models, and AI agents in one governed system
- Prepare recipe with 100 plus built-in transformers
- Visual recipes or Python, R, and SQL
- Cobuild AI builds pipelines from a described goal
- Fifth straight year as a Gartner Magic Quadrant Leader for AI platforms in one report
- 14-day free trial with no card
Watch out for- Quote-based pricing
- A lot of platform if all you need is prep
- No public converter from the target, so migration means a rebuild
- AI use is metered in some reports
#3RapidMiner
Best for: Visual predictive modeling4.6/5 on
G2 (538 reviews, checked Oct 2026)
Visit rapidminer.com
Starting price$2,500 per user per year
Free planYes
RapidMiner is the visual predictive modeling pick, with a visual workflow designer for data science tasks, extensive machine learning models, automated data preparation and feature engineering, and model deployment and operations. Professional edition starts at approximately $2,500 per user annually in one report, while the free version offers limited features and enterprise pricing is available on request. RapidMiner suits teams that want visual modeling with a commercial vendor behind it.
The trade off is visual modeling against per-user cost. RapidMiner models visually with vendor support, but $2,500 per user per year is steep for large analyst teams. RapidMiner fits data science teams doing predictive analytics with visual workflows.
What we like- Visual workflow designer for data science
- Extensive machine learning models
- Automated data preparation and feature engineering
- Model deployment and MLOps
- Python and R integration
- Text mining and time series prediction
Watch out for- Professional edition starts near $2,500 per user annually
- Free version offers limited features
- Enterprise pricing on request
- Commercial vendor lock-in versus open source
Starting price$75 per user per month
Free planNo
Tableau Prep is the Tableau user pick, handling data cleaning and transformation with a drag-and-drop interface, included in a Creator license that also covers Tableau Desktop and Server or Online. Creator pricing runs $75 per user per month on Standard or $115 on Enterprise with scheduling in one October 2026 report, with $70 to $75 per user per month in another. Tableau Prep suits teams that already visualize in Tableau and need prep in the same ecosystem.
The trade off is Tableau fit against standalone value. Tableau Prep cleans data well for Tableau users, but it is not a standalone modeling platform. Tableau Prep fits teams emphasizing data storytelling and executive dashboards in Tableau.
What we like- Built for Tableau users
- Drag-and-drop data cleaning and transformation
- Comes with Creator license including Desktop, Prep, and Server or Online
- Extensive connectors
- Data storytelling downstream in Tableau
Watch out for- Creator costs $75 per user per month on Standard, $115 on Enterprise with scheduling
- No free plan
- Visualization-first, so modeling depth trails Dataiku and RapidMiner
- Best value only inside Tableau
#5Talend
Best for: Enterprise data integration4.0/5 on
G2 (65 reviews, checked Oct 2026)
Visit talend.com
Starting priceSee website
Free planNo
Talend is the enterprise integration pick, built for data integration pipelines at scale, with broad connectors, data quality, and governance features for engineering-led teams. It scales more smoothly than KNIME for large enterprise pipelines in one comparison, and it suits organizations with complex big data infrastructure and data engineering teams. Pricing is quote based, so this guide lists it as See website.
The trade off is enterprise scale against analyst ease. Talend pipelines at scale better than analyst tools, but it needs engineering skill. Talend fits enterprises with data engineering teams and massive datasets.
What we like- Enterprise data integration pipelines
- Scales smoothly for large pipelines
- Broad connector set
- Data quality and governance features
- Strong for engineering-led pipelines
Watch out for- Quote-based pricing
- Needs engineering skill to run at scale
- Less analyst-friendly than KNIME for visual prep
- Open source edition history complicates comparisons
Starting priceFree
Free planYes
Orange is the free learning pick, offering visual programming for data mining and machine learning free and open source, with widgets for visualization, modeling, and evaluation. It suits students, teachers, and analysts learning data science without paying for a commercial platform. Orange is the best free alternative for learning and teaching in one comparison.
The trade off is free learning against production scale. Orange teaches and prototypes beautifully, but production enterprise pipelines need stronger tools. Orange fits learners, teachers, and small teams prototyping visually for free.
What we like- Completely free and open source
- Visual programming for data mining
- Great for learning and teaching
- Widgets for visualization, modeling, and evaluation
- No vendor lock-in
Watch out for- Less suited to production enterprise pipelines
- Smaller connector set than Talend
- Performance trails commercial tools at scale
- Community support only
#7Microsoft Power BI
Best for: Microsoft shops, Power Query4.5/5 on
G2 (1,661 reviews, checked Oct 2026)
Visit microsoft.com
Starting price$14 per user per month
Free planYes
Microsoft Power BI is the Microsoft shop pick, with Power Query for visual data prep across several hundred sources, Power BI Desktop free, and Pro at $14 per user per month, the cheapest BI entry point for Microsoft shops in one comparison. Direct Lake mode, generally available across OneLake since March 2026, removes the need to duplicate or manually refresh large datasets before querying. Governance runs through Microsoft Purview across email, files, and BI content.
The trade off is Microsoft value against ecosystem lock-in. Power BI preps and visualizes cheaply inside Microsoft 365, but teams outside that ecosystem get less. Power BI fits Microsoft shops that want prep plus BI in one low-cost platform.
What we like- Power Query connects to several hundred data sources
- Power BI Desktop is free
- Pro at $14 per user per month after a rise from $10 in April 2025
- Direct Lake mode removes duplicate refresh needs
- Governance through Microsoft Purview
Watch out for- Best value only inside Microsoft 365
- Pro price rose from $10 to $14 in April 2025
- Visualization-first, so modeling depth trails Dataiku
- Teams outside Microsoft get less benefit
Starting priceFree
Free planYes
dbt is the SQL-first pick, transforming data with SQL in version-controlled projects, with testing and documentation built in, and a free Developer plan for individuals. It suits analytics engineering teams that already work in SQL and want transformations treated like code, with cloud plans adding collaboration and scheduling. dbt is the only tool here that expects SQL as the main way of working.
The trade off is code rigor against visual ease. dbt gives version control and testing that visual tools lack, but it excludes non-SQL analysts. dbt fits SQL-first analytics engineering teams.
What we like- Free Developer plan
- SQL as the main way of working
- Version-controlled transformations
- Testing and documentation built in
- Strong for analytics engineering teams
- Cloud plans for collaboration
Watch out for- Requires SQL knowledge, unlike visual editors
- No visual workflow designer
- Cloud pricing needs a sales process for larger teams
- Best for teams already comfortable in SQL
How we chose
We compared published October 2026 data prep comparisons, recording free tiers and quote-only pricing separately, since Dataiku and Talend require quotes while KNIME, Orange, and dbt Developer are free. We favored tools with distinct strengths, free visual prep, all-in-one AI, visual predictive modeling, Tableau cleaning, enterprise integration, free learning, Microsoft prep plus BI, and SQL transformation, and we listed Dataiku and Talend as See website because their pricing is quote based. We weighed audience, governance, and code versus visual working separately, since no single tool leads on all three.
How to choose an Alteryx alternative
Start with audience: business analysts should shortlist KNIME and Tableau Prep, data scientists should shortlist Dataiku and RapidMiner, and engineers should shortlist Talend and dbt. Next, check budget: free teams should start with KNIME, Orange, or dbt Developer, while Microsoft shops should shortlist Power BI at $14 per user per month. Then check governance: teams that need AI governance and model lifecycle management should shortlist Dataiku, while teams that only need prep should avoid paying for a full AI platform. Finally, test a real workflow end to end, since visual ease, connector coverage, and scheduling differ more in practice than in feature lists. A tool that fits your audience, your budget, and your governance needs will replace expensive Designer licenses without losing pipeline quality.
Frequently asked questions
What is the best Alteryx alternative overall?
KNIME suits free visual prep, Dataiku suits all-in-one AI, RapidMiner suits visual predictive modeling, and Tableau Prep suits Tableau users, so the best pick depends on audience.
Is there a free Alteryx alternative?
Yes. KNIME Analytics Platform and Orange are free and open source, dbt Developer is free, and Dataiku offers a self-installed Free Edition with limits.
Why is Alteryx so expensive?
Designer licenses cost over $5,000 per user per year in one report, reflecting polished business-user workflows, support, and enterprise features that free tools do not bundle.
Do I need SQL to replace Alteryx?
Only if you pick dbt, which expects SQL as the main way of working, while Power Query, KNIME, and Dataiku offer visual editors.
Should small teams use Dataiku?
Only if prep feeds models. Dataiku is a lot of platform with an enterprise price tag, so teams that only need prep should start with KNIME or Power BI.
Can I migrate Alteryx workflows automatically?
No public converter exists for most tools in one report, and Dataiku converter access is partner-only, so migration usually means rebuilding workflows with AI or partner help.
Sources we checked (0)
Is your product missing or out of date?
We review this list regularly. Vendors can request a listing, send updated pricing or ask about featured placement.
Shihab Mia · Founder, Rankite
Shihab has 5+ years in B2B and SaaS SEO. He writes Rankite's software buying guides from pricing pages, documentation and public user reviews. More about Shihab.