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.
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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.
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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.
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Alteryx integrates with BI tools like Tableau and Power BI.
ETL Process Support
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Databricks Data Intelligence Platform is well-equipped to support smooth ETL processes, ensuring seamless data integration through automation, orchestration, and advanced data management features.
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Alteryx supports smooth ETL processes for seamless data integration.
Data cleaning
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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.
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Qualities
Value and Pricing Transparency
+0.08
Neutral sentiment
-0.77
Strongly negative sentiment
Customer Service
+1
Strongly positive sentiment
+0.64
Rather positive sentiment
Ease of Use
+0.84
Strongly positive sentiment
+0.97
Strongly positive sentiment
Reliability and Performance
+0.77
Strongly positive sentiment
+0.46
Rather positive sentiment
Ease of Implementation
+0.27
Neutral sentiment
+0.33
Rather positive sentiment
Scalability
+1
Strongly positive sentiment
+0.6
Rather positive sentiment
Databricks Data Intelligence Platform and Alteryx Pricing
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
G2
4.5/5
(319)
Glassdoor
4.3/5
(1199)
G2
4.6/5
(627)
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
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.
TT
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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