Databricks Data Intelligence Platform vs Alteryx

by Gralio Mar 03, 2025

Databricks and Alteryx offer distinct approaches to data analysis. Databricks provides a powerful platform for advanced analytics and AI, while Alteryx prioritizes ease of use and automation for broader business applications. Choose Databricks for complex data science needs and Alteryx for accessible, code-free data insights and automation.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 940 reviews and 60 websites, saving 5 hours, 43 minutes of reading.

Databricks Data Intelligence Platform

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Alteryx

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About

Databricks Data Intelligence Platform is a cloud-based platform designed to help mid-size to large businesses manage and analyze data. It offers a range of tools for data warehousing, data engineering, data science, and machine learning, all in one place. Databricks aims to simplify data processes, reduce costs, and enable companies to build and deploy AI solutions. They are well-known for their work with open-source technologies, making them a popular choice for businesses invested in those ecosystems.

Alteryx is a data analytics platform designed for businesses of all sizes. It offers a user-friendly, drag-and-drop interface to prepare, analyze, and visualize data without needing coding skills. Alteryx excels at automating data tasks, helping you uncover insights faster and make better decisions. It's used across various departments and industries to improve efficiency and gain a competitive advantage.

Summary

Main difference

Databricks excels in providing a comprehensive platform for advanced data science, machine learning, and AI-driven solutions, particularly suited for larger organizations with complex data needs and open-source technology adoption. Alteryx stands out with its user-friendly, no-code approach to data preparation, analysis, and visualization, making it ideal for mid-sized businesses seeking quick insights and automation without extensive coding expertise.

Relative strengths of Databricks Data Intelligence Platform (compared to Alteryx)

Superior data science and machine learning capabilities with integrated tools for model building, deployment, and management.
Lakehouse architecture enables efficient data storage and processing, unifying data warehousing and data lakes.
Strong integration with open-source technologies, providing flexibility and a broader ecosystem for advanced analytics.

Relative weaknesses of Databricks Data Intelligence Platform (compared to Alteryx)

Steeper learning curve and requires more technical expertise compared to Alteryx's user-friendly interface.
Can be more expensive, especially for smaller organizations with limited data science needs.
Cluster startup times can be slow, potentially impacting productivity for ad-hoc analyses.

Who should use Databricks Data Intelligence Platform VS. Alteryx

Databricks is a unified data and AI platform ideal for medium to large businesses. Users praise its serverless SQL warehouse, Unity Catalog, and Lakehouse flow monitoring. However, some find cluster startup times slow and documentation lacking. It simplifies data processes and AI initiatives, from ETL to warehousing and generative AI, using a lakehouse architecture.

Alteryx is a powerful, user-friendly data analytics platform ideal for medium to large businesses across various sectors, especially retail, media, and IT. Its drag-and-drop interface empowers users to automate data tasks, blend data from multiple sources, and generate actionable insights without coding. While praised for its intuitive design and robust features, some users have noted the high price point and occasional performance issues with large datasets.

Ideal for medium to large businesses (101+ employees) seeking unified data and AI solutions.
Best fit for Software, IT & Telecommunications; suitable for Healthcare, not ideal for Finance or Professional Services.

Best fit for medium to large enterprises (101+ employees).
Excellent fit for Retail, Consumer Goods, Media & Entertainment, Software, IT & Telecommunications, Marketing & Advertising, and Professional Services.

Databricks Data Intelligence Platform and Alteryx features

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Lakehouse architecture

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Databricks Data Intelligence Platform is built on a lakehouse architecture.

Partially supported

Alteryx supports lakehouse architecture through integration with Databricks.
Simplified data and AI acceleration

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Databricks simplifies and accelerates data and AI initiatives, from ETL to warehousing and generative AI.

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Alteryx simplifies and accelerates data and AI processes, from data preparation to generative AI.
Easy-to-use Interface

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Databricks offers an intuitive interface with features like natural language processing and the Databricks Assistant.

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Alteryx offers intuitive interfaces using Interface Tools and Analytic Apps.
BI Tool Integration

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Databricks Data Intelligence Platform, through its AI/BI component, supports integration with BI tools and enhances traditional BI capabilities. It includes AI-powered dashboards, integrates with the broader data platform for unified governance, offers a conversational interface for broader user access, and ensures high performance.

Supported

Alteryx integrates with BI tools like Tableau and Power BI.
ETL Process Support

Supported

Databricks Data Intelligence Platform is well-equipped to support smooth ETL processes, ensuring seamless data integration through automation, orchestration, and advanced data management features.

Supported

Alteryx supports smooth ETL processes for seamless data integration.
Data cleaning

Supported

Databricks Data Intelligence Platform offers a comprehensive suite of tools for data cleaning including removing duplicates, fixing data types, and handling errors. Features like the medallion architecture, data quarantining, AI-powered tools, and Delta Live Tables contribute to its robust data cleaning capabilities.

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Alteryx can clean data, remove duplicates, fix data types, and handle errors.

Qualities

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Customer Service

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Ease of Use

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Reliability and Performance

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Ease of Implementation

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Scalability

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Databricks Data Intelligence Platform and Alteryx Pricing

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Databricks Data Intelligence Platform and Alteryx review insights

Users love

The Databricks SQL warehouse serverless feature is excellent.
Unity Catalog improves data governance and accessibility.
Lakehouse flow monitoring provides helpful insights into data processes.
Pandas Spark API allows for easy distributed computing with Python.

User-friendly drag-and-drop interface enables both technical and non-technical users to perform complex data transformations without coding.
Powerful for ETL tasks, blending, analyzing, and preparing data from multiple sources quickly.
Integrates well with other platforms, including Tableau and Salesforce.
Offers automation for repetitive workflows, enhancing productivity and scalability.

Users dislike

Cluster startup times are slow.
Documentation could be improved with more examples.
AI assistant needs improvement, especially for complex SQL queries and errors.
Occasional unplanned downtime can be disruptive.

Pricing: Alteryx can be expensive, especially for small teams or organizations, with advanced features locked behind higher-priced plans.
Performance can be slow when working with very large datasets.
Advanced functionalities can be challenging to learn for users with limited technical backgrounds.
Limited real-time collaboration features make it harder for teams to work simultaneously on the same workflow.

Databricks Data Intelligence Platform and Alteryx Ratings

Glassdoor

4.3/5

(1199)

Glassdoor

3.3/5

(790)

Company health

Employee growth

26% increase in the last year

15% decrease in the last year

Web traffic

16% decrease in the last quarter

13% decrease in the last quarter

Financing

August 2024 - $19B

August 2023 - $1B

How do Databricks' open-source integrations compare to Alteryx's platform integrations?

Databricks emphasizes open-source integrations, particularly within the Apache Spark ecosystem, allowing flexibility and customization. Alteryx, while offering integrations with various platforms like Tableau and Salesforce, focuses on a more curated and user-friendly experience within its own platform, potentially limiting flexibility for users deeply embedded in open-source development.

Which product better supports non-coding users for complex data analysis?

Alteryx better supports non-coding users for complex data analysis due to its user-friendly, drag-and-drop interface. While Databricks offers powerful data analysis capabilities, its focus on open-source technologies and features like the Pandas Spark API suggests a stronger orientation towards users with coding experience. Alteryx's emphasis on automation and ease of use makes it more accessible for non-coders to perform complex data transformations and analysis without needing programming skills.

What are the advantages of Databricks Data Intelligence Platform?

Databricks Data Intelligence Platform offers a unified environment for data warehousing, data engineering, data science, and machine learning, simplifying data processes and enabling AI solution development. Its lakehouse architecture and integration with open-source technologies make it attractive to businesses invested in those ecosystems. Additionally, features like the simplified data and AI acceleration, DatabricksIQ engine, and integration with data governance tools enhance its capabilities for comprehensive data management and analysis.

What are the disadvantages of Databricks Data Intelligence Platform?

Databricks' disadvantages include slow cluster startup times, which can hinder productivity. Users also report that the documentation could be more comprehensive with additional examples. Furthermore, the AI assistant needs improvement, particularly for complex SQL queries and error handling. Finally, occasional unplanned downtime can disrupt workflows.

Alternatives to Databricks Data Intelligence Platform and Alteryx

Snowflake

Snowflake is a cloud-based data platform designed for businesses to store, manage, and analyze large amounts of data. It works like a giant, virtual warehouse for all your data, accessible from anywhere. Snowflake adapts to your needs, scaling its power and cost up or down on demand. This makes it suitable for tasks like analyzing customer trends, building data-driven applications, or sharing data securely with partners. Its strength lies in handling massive datasets with high speed and efficiency.

SAS Visual Data Mining and Machine Learning

SAS Visual Data Mining and Machine Learning is a software suite that helps businesses uncover insights from their data. It offers tools for data preparation, visualization, and building predictive models using machine learning. Its intuitive visual interface and automated features make it accessible for users of varying technical skills, from data scientists to business analysts. The software allows for coding in multiple languages like Python and R, making it flexible for diverse teams. Its strength lies in automating complex processes, enabling faster and more informed business decisions.

Palantir Foundry

Palantir Foundry is a software platform designed to help large organizations manage and analyze their data. It brings all your data together in one place, making it easier to find insights, make decisions, and automate operations. Foundry is used by businesses in various sectors, including finance, healthcare, and government. It is known for its advanced security features and its ability to handle very large and complex datasets.

PlaidCloud

PlaidCloud is a cloud-based analytics platform designed to help businesses in various industries improve profitability and manage risk. It allows you to connect and analyze data from multiple sources, automate data processes, and create shareable dashboards to gain insights into areas like supply chain costs, customer profitability, and intercompany transactions. PlaidCloud aims to provide a user-friendly experience with its pre-built solutions and eliminate the need for extensive IT infrastructure or software management.

Azure Databricks

Azure Databricks is a cloud-based platform designed to help businesses analyze large amounts of data. It offers tools for data scientists and analysts to prepare, visualize, and build machine learning models from complex datasets. Optimized for Azure cloud services, Databricks allows for efficient scaling and collaboration, promising faster insights and better decision-making from your company's data.

Galigeo

Galigeo offers location intelligence software that helps businesses analyze data through maps and location-based insights. It allows you to visualize sales territories, optimize routes, and tailor local communication strategies. Galigeo integrates with popular tools like Microsoft Power BI and Salesforce, making it easy to incorporate location data into your existing workflows. This helps businesses across various industries, from retail and healthcare to public services, make better decisions for improved performance and efficiency.

Page co-authored by

Michal Kaczor

CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

Tymon Terlikiewicz

CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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