The closest alternatives to Alteryx on Lister are Tableau, Domo and H2O.ai, the companies that share the most rankings with it. Each is compared below on its stated best fit, starting price and Lister Score.
How to choose an alternative to Alteryx
Start from what you need it for. Where each fits best, as Lister records it:
- Tableau: Advanced enterprise data visualisation
- Domo: Cloud native business intelligence
- H2O.ai: Technical teams and data scientists wanting flexibility and cost-efficiency
- Microsoft Power BI: Microsoft-centric organisations
- Qlik Sense: Complex associative data discovery
- Looker: Data-driven companies seeking embedded analytics, strong governance, and a semantic layer approach
- Databricks: Enterprise scale data engineering and AI model training
- Sisense: Embedding analytics into products
- Microstrategy: Large enterprises with complex governance requirements and existing on-premise infrastructure
- Riskified: E-commerce businesses managing payment fraud and chargeback risk
Closest to Alteryx by the rankings they share: Tableau (3 rankings), Domo (3 rankings) and H2O.ai (3 rankings).
Stated starting prices: Tableau ($75 per user per month) and Microsoft Power BI ($10 per user/month).
Custom or quote-based pricing: Domo, Qlik Sense, Looker, Databricks, Sisense, Microstrategy and Riskified.
Each Lister Score is the alternative's score on the ranking named in its row, so compare scores within one ranking rather than across rankings. How the score is made.
Each alternative in brief
01
See and understand your data
#1 in Top 10 Business Analytics Platforms: Tableau enables organisations to see and understand data through interactive dashboards and reports. It supports complex data analysis, real-time collaboration, and seamless integration with major data sources, serving Fortune 500 companies globally.
PROS- Exceptional data visualisation capabilities
- Handles massive datasets with ease
CONS- Steep learning curve for beginners
- Can become expensive at scale
95.0
02
The Business Cloud
#3 in Top 10 Risk Management Platforms: Domo combines data integration, business intelligence, and operational analytics. Allows organisations to build risk dashboards that consolidate data from multiple sources for holistic risk visibility.
PROS- Strong cloud native architecture
- Real time data updates and alerts
CONS- High cost for smaller businesses
- Complex implementation process
90.3
03
Open-source and commercial ML platform for scalable predictions
#9 in Best data science platforms: H2O.ai offers an enterprise platform for secure model development.
PROS- Strong open-source option with thriving community ecosystem
- AutoML capabilities reduce model tuning burden
CONS- Steeper learning curve for non-technical users
- Smaller commercial ecosystem compared to enterprise platforms
80.0
04
Turn data into insights with Power BI
#2 in Top 10 Business Analytics Platforms: Power BI combines data connectivity, transformation, and visualisation within Microsoft 365. It offers quick deployment, deep Excel integration, and competitive pricing, making it ideal for organisations already using Microsoft tools.
PROS- Affordable pricing tiers
- Deep integration with Microsoft 365
CONS- Complex data models can slow performance
- Report sharing requires paid licenses for all viewers
92.7
05
Lead with data
#3 in AI business intelligence tools that integrate with Snowflake: Qlik Sense provides seamless data integration and powerful agentic AI analytics to drive better business decisions. It puts powerful analytics in everyone’s hands so that smarter decisions happen faster.
PROS- Unique associative data model
- Strong automated AI insights
CONS- Resource intensive setup
- High cost for enterprise deployment
94.0
06
Data Platform for Every Decision
#3 in Top 10 Business Intelligence Platforms: Looker, acquired by Google Cloud in 2020, is a modern analytics platform built for embedded analytics and data applications. It enables organisations to explore data collaboratively through an intuitive interface backed by LookML modelling language.
PROS- Exceptional embedded analytics capabilities integrated into applications
- Strong data governance and centralised metric definitions via LookML
CONS- Pricing can exceed competitors for smaller deployments
- LookML has a steeper learning curve than competing platforms
90.3
07
The lakehouse platform for data and AI
#5 in Best data science platforms: Databricks is a unified data and AI platform that runs analytical and operational workloads on one open foundation. It enables organisations to build BI and AI applications while streamlining data processes without adding complexity.
PROS- Unmatched performance for massive enterprise datasets
- Comprehensive collaborative notebooks and AI governance
CONS- Steep learning curve and expensive infrastructure costs
88.0
08
Infuse analytics everywhere
#6 in Top 10 Business Intelligence Platforms: Sisense (now part of Perforce Software) is an embedded analytics platform enabling organisations to integrate analytics into their applications. It features in-chip processing technology, pre-built connectors and low-code development.
PROS- Great for embedded analytics
- Handles large volumes of disparate data
CONS- Can require dedicated IT resources
- Custom styling requires coding knowledge
83.3
09
Enterprise analytics and mobility
#9 in Top 10 Business Intelligence Platforms: MicroStrategy is an enterprise analytics platform providing advanced analytics, reporting and dashboards. It offers on-premise and cloud deployment options with strong governance, security and scalability for large organisations.
PROS- Enterprise-grade security, governance and scalability for large organisations
- Supports both on-premise and cloud deployment models providing flexibility
CONS- Complex implementation and higher cost of ownership compared to modern cloud-native platforms
- Steeper learning curve with less intuitive interface than newer competitors
76.3
10
Enterprise fraud and risk management for digital commerce
#1 in Top 10 Risk Management Platforms: Riskified specialises in chargeback protection, fraud detection, and risk intelligence for e-commerce and digital payments. Uses machine learning and behavioral analytics to prevent fraud in real time.
PROS- Purpose-built for e-commerce with deep payment processor integrations
- Real-time fraud decisioning reduces manual review overhead significantly
CONS- Pricing not transparent; requires sales consultation
- Less applicable outside digital commerce verticals
95.0