Sold by: Alteryx
Deployed on AWS
Alteryx One accelerates AI-driven business transformation by empowering analysts with a no-code, self-service platform to access, prepare, and operationalize data. Seamlessly integrating with AI ecosystems, Alteryx automates processes, enabling faster, smarter decisions while ensuring security and governance, unlocking the full potential of your data to maximize ROI now.
Alteryx is trusted by 8,000+ customers and hundreds of thousands of users, empowering business users, analysts, data scientists, and engineers by democratizing analytics. Deployed on AWS, the platform provides a seamless interface for working with data in Amazon S3, Redshift, Databricks, and Snowflake. With built-in governance and collaboration, Alteryx automates pipelines, scheduling, and orchestration to deliver continuous insights without manual effort. By uniting automation with scalability, it accelerates analytics maturity, fosters collaboration, and enables organizations to fully unlock the value of their data.
4.6
Overview
Alteryx One Platform is the business-friendly interface for analytics and automation on AWS. Built to integrate seamlessly with Amazon S3, Amazon Redshift, and partner platforms like Databricks and Snowflake, Alteryx simplifies how enterprises design, orchestrate, and scale data workflows in the cloud. Alteryx One is a powerful analytics engine wrapped in a user-friendly package, delivering sophisticated end-to-end data workflow automation, generative AI augmentation, seamless ecosystem integration, and robust governance to help businesses transform data into actionable insights quickly and efficiently.
Self-Service Data Prep for AI-Ready Data: Alteryx One combines code-free analytics automation, generative AI, and flexible workflows to get data AI ready and deliver insights. With its intuitive interface, users of all skill levels can effortlessly cleanse, transform, and analyze data without needing extensive technical expertise. By streamlining data preparation, Alteryx One empowers teams to make faster, smarter decisions and drive impactful business outcomes.
Govern Analytics with Confidence: Security and compliance are built into Alteryx One. The platform adheres to standards such as SOC 2 Type II and ISO 27001, with AES-256 encryption, TLS protocols, and role-based permissions to protect data at rest and in motion. AWS-native integration with identity providers like Active Directory and SSO ensures governance and control align with enterprise requirements, giving IT peace of mind while enabling business agility.
Scale Automation Across AWS: Alteryx One empowers organizations to automate pipelines and orchestrate workflows directly within AWS. By leveraging AWS services and partner ecosystems, teams can accelerate common use cases such as customer 360, marketing attribution, risk analysis, or cost optimization. Built for scalability, Alteryx ensures insights remain fresh, consistent, and compliant while freeing teams from manual effort.
Trusted by Enterprises Worldwide: With more than 8,000 customers and half of the global 2000 largest companies, Alteryx is trusted globally to deliver high-value analytics use cases. Organizations choose Alteryx to modernize legacy processes, democratize access to data, and unlock the full potential of their AWS and partner data investments.
Get Started on AWS Marketplace: Deploy Alteryx One directly in your AWS environment today. Start a free trial to experience how easy it is to automate analytics pipelines, scale insights across your organization, and maximize the value of your AWS data.
For custom pricing, EULA, or a private offer, please contact aws@alteryx.com .
Highlights
- AI-Powered, Self-Service Analytics: Accelerate insights with AI-infused automation and no-code workflows that empower every role to analyze, report, and make data-driven decisions faster.
- Enterprise-Grade Governance and Security: Deploy with confidence at scale. Built-in governance, encryption, and role-based access integrate seamlessly with AWS identity and compliance controls.
- Optimized for AWS and Partner Platforms: Connect to Amazon S3, Redshift, Databricks, and Snowflake to orchestrate data pipelines and scale analytics directly within your AWS environment.
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Dimension | Description | Cost/month |
|---|---|---|
Alteryx One - Starter Edition | Alteryx One Starter Edition | $250.00 |
Alteryx One - Professional Edition | Alteryx One Professional Edition - please contact aws@alteryx.com for a custom Private Offer | $0.01 |
Alteryx One - Enterprise Edition | Alteryx One Enterprise Edition - please contact aws@alteryx.com for a custom Private Offer | $0.01 |
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Support
Vendor support
Alteryx provides technical product support on each version of the Alteryx Product for a period of eighteen (18) months from the general availability release date. During this period, Alteryx will use commercially reasonable efforts to provide a Customer with assistance to address technical product issues with an Alteryx Product. Any fixes for an Alteryx Product will be released in the latest version or upcoming future version. Phone: +1 714-243-8507 URL:
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Alteryx on AWS is a cost-effective and flexible way to manage and deploy various configurations of Alteryx Server.
Alteryx Designer is a powerful data analytics platform that accelerates data preparation and blending with a drag-and-drop interface, making it up to 100 times faster than traditional methods. It empowers analysts by democratizing data analysis, enabling efficient exploration, and visualization without the need for coding. The tool offers advanced analytics accessible to all and allows for customization through APIs and SDKs.
Alteryx Authorised Professional Services provider covering installation assistance, implementation of solutions, best practice review, interfacing, support and training
Hands-on instructor led training from NextWave, an authorised Alteryx Training delivery partner
Customer reviews
Banking
Easy Automated Workflows and Data Prep in Alteryx
Reviewed on Oct 01, 2026
Review provided by G2
What do you like best about the product?
The automated workflows and how easy it is to work with our data within Alteryx
What do you dislike about the product?
Not dislike but a challenge is learning about the different workflows available. So, a major learning curve
What problems is the product solving and how is that benefiting you?
Solving the process of data cleansing and standardization. Everything is in one place
Ashok K.
A Visual Swiss Army Knife for Fast, Messy Data Wrangling
Reviewed on Oct 01, 2026
Review provided by G2
What do you like best about the product?
What makes Alteryx so satisfying to use really comes down to a few big things:
Instant Data Inspection: Being able to click on any node in a workflow and immediately view the dataset at that exact point in time is a massive win. In SQL or Python, debugging intermediate steps usually means writing extra SELECT statements, CTEs, or print statements. In Alteryx, you just click an output anchor and inspect the rows right there.
Insane Speed for Prototyping: When you're handed a chaotic mix of sources—like a Snowflake table, three messy Excel sheets, and a REST API endpoint—you can drag a few tools together and have a working data blend in 10 minutes. It turns hours of boilerplate code into quick, visual logic.
Built-in Heavy Lifters: Complex tasks that are normally a pain in traditional SQL or Python—like fuzzy string matching, regex parsing, or spatial GIS joins—are simple drag-and-drop tools. You don't have to configure complex packages or write custom algorithms; you just tweak the tool's settings and move on.
Bridging the Analyst/Engineer Gap: It empowers business analysts to build sophisticated, self-serve data transformations on their own. That frees up data engineering bandwidth from having to build and maintain small, ad-hoc ETL pipelines for every single business request.
It’s essentially a visual Swiss Army knife when you need to wrangle messy data and get answers fast without getting bogged down in syntax.
Instant Data Inspection: Being able to click on any node in a workflow and immediately view the dataset at that exact point in time is a massive win. In SQL or Python, debugging intermediate steps usually means writing extra SELECT statements, CTEs, or print statements. In Alteryx, you just click an output anchor and inspect the rows right there.
Insane Speed for Prototyping: When you're handed a chaotic mix of sources—like a Snowflake table, three messy Excel sheets, and a REST API endpoint—you can drag a few tools together and have a working data blend in 10 minutes. It turns hours of boilerplate code into quick, visual logic.
Built-in Heavy Lifters: Complex tasks that are normally a pain in traditional SQL or Python—like fuzzy string matching, regex parsing, or spatial GIS joins—are simple drag-and-drop tools. You don't have to configure complex packages or write custom algorithms; you just tweak the tool's settings and move on.
Bridging the Analyst/Engineer Gap: It empowers business analysts to build sophisticated, self-serve data transformations on their own. That frees up data engineering bandwidth from having to build and maintain small, ad-hoc ETL pipelines for every single business request.
It’s essentially a visual Swiss Army knife when you need to wrangle messy data and get answers fast without getting bogged down in syntax.
What do you dislike about the product?
While Alteryx is great for quick visual prototyping, it creates real friction when you try to use it as a long-term engineering tool.
OS and container limitations are a big one: it doesn’t run natively on Mac, so you’re pushed into Windows VMs. On top of that, there’s no native Linux or Docker runtime, which makes it hard to fit into modern containerized deployments and CI/CD pipelines.
Version control is also pretty nightmarish. Workflows are saved as large XML files under the hood, so standard Git diffs and normal code review workflows are basically impractical.
Data movement can become a bottleneck, too. Unless you stay strictly within the in-database tools, it tends to pull raw data down locally for processing instead of letting fast cloud warehouses like Snowflake do the heavy lifting.
Finally, the cost and lock-in are hard to ignore. Licensing is very expensive per seat, and once business logic is embedded in proprietary visual workflows, migrating away later can turn into a massive rewrite.
OS and container limitations are a big one: it doesn’t run natively on Mac, so you’re pushed into Windows VMs. On top of that, there’s no native Linux or Docker runtime, which makes it hard to fit into modern containerized deployments and CI/CD pipelines.
Version control is also pretty nightmarish. Workflows are saved as large XML files under the hood, so standard Git diffs and normal code review workflows are basically impractical.
Data movement can become a bottleneck, too. Unless you stay strictly within the in-database tools, it tends to pull raw data down locally for processing instead of letting fast cloud warehouses like Snowflake do the heavy lifting.
Finally, the cost and lock-in are hard to ignore. Licensing is very expensive per seat, and once business logic is embedded in proprietary visual workflows, migrating away later can turn into a massive rewrite.
What problems is the product solving and how is that benefiting you?
Alteryx solves our biggest headache: data fragmentation. In online marketing, our customer data is scattered across MySQL, PostgreSQL, SQL Server, and endless campaign CSVs and Excel tracking sheets.
Instead of writing complex cross-database scripts or manually stitching spreadsheets together, Alteryx lets us blend all these disparate sources in one visual tool. The biggest benefit is automation and time saved, it turns hours of tedious weekly data prep into a repeatable pipeline that feeds clean, standardized metrics directly into our customer analytics dashboards.
Instead of writing complex cross-database scripts or manually stitching spreadsheets together, Alteryx lets us blend all these disparate sources in one visual tool. The biggest benefit is automation and time saved, it turns hours of tedious weekly data prep into a repeatable pipeline that feeds clean, standardized metrics directly into our customer analytics dashboards.
Anonymous
Reliable, Enhances Finance Workflow But Needs Excel Improvements
Reviewed on Oct 01, 2026
Review provided by G2
What do you like best about the product?
I like the reliability of Alteryx. The Excel input and output tools are particularly valuable, and it works well with Outlook.
What do you dislike about the product?
I have some issues with Alteryx when it comes to Excel presentation and formatting. The format could definitely use some improvement. Plus, there's the problem of mapping breaks, which can be frustrating. It would be great if they could set controls on missing mapping to enhance the overall functionality.
What problems is the product solving and how is that benefiting you?
Alteryx reduces manual work in finance reconciliation and tracking, saving time and labor. It's reliable and integrates well with Excel and Outlook.
Yury P.
Great visual ETL tool, just don't neglect your workflow hygiene
Reviewed on Oct 01, 2026
Review provided by G2
What do you like best about the product?
Honestly, the UX just clicks. You drag a few tools onto the canvas, connect the noodles, and you can instantly click on any node to see what your data actually looks like instead of flying blind. It saves so much brainpower on basic data wrangling.
Also, the community is an absolute goldmine. Every time I hit a wall with some cursed regex or a weird multi-field formula, some forum wizard already solved it four years ago and attached a .yxmd file with the exact fix.
Also, the community is an absolute goldmine. Every time I hit a wall with some cursed regex or a weird multi-field formula, some forum wizard already solved it four years ago and attached a .yxmd file with the exact fix.
What do you dislike about the product?
Heavy local workflows will remind you real quick that you're running on a desktop box. When you’re streaming millions of records from SQL Server directly into Designer's memory, run times add up fast on standard hardware.
It's not a dealbreaker, but you have to be smart about it: always develop with samples or cache your inputs, or better yet, lean on the In-Database tools. As long as your data doesn’t have to leave the same server, In-DB pushes the heavy lifting to the database engine and runs insanely fast.
It's not a dealbreaker, but you have to be smart about it: always develop with samples or cache your inputs, or better yet, lean on the In-Database tools. As long as your data doesn’t have to leave the same server, In-DB pushes the heavy lifting to the database engine and runs insanely fast.
What problems is the product solving and how is that benefiting you?
I mostly rely on Alteryx for core SQL ETL pipelines, general data wrangling, and joining disparate sources to enrich datasets before they hit downstream reporting.
I avoid Excel like the plague whenever possible, but on the rare occasion someone drops a spreadsheet on my desk, 99% of the time it’s an absolute hot mess. Alteryx is fantastic for standardizing that junk data, stripping out the chaos, and integrating it cleanly with our relational databases without having to write endless one-off Python scripts or messy staging tables.
I avoid Excel like the plague whenever possible, but on the rare occasion someone drops a spreadsheet on my desk, 99% of the time it’s an absolute hot mess. Alteryx is fantastic for standardizing that junk data, stripping out the chaos, and integrating it cleanly with our relational databases without having to write endless one-off Python scripts or messy staging tables.
Computer Software
No-Code Analysis Made Easy
Reviewed on Sep 29, 2026
Review provided by G2
What do you like best about the product?
It allows me to perform my analysis without any coding experience
What do you dislike about the product?
Sometimes it's difficult to figure out how to resolve a workflow error when it pops up
What problems is the product solving and how is that benefiting you?
Analyzing large reports with tax data and also using alteryx workflows to create xmls.