Keboola Connection vs Alteryx

Struggling to choose between Keboola Connection and Alteryx? Both products offer unique advantages, making it a tough decision.

Keboola Connection is a Business & Commerce solution with tags like etl, data-pipeline, data-transformation.

It boasts features such as Drag-and-drop interface for building data pipelines, Pre-built components for common data sources and transformations, Orchestration for scheduling and automating workflows, Transformation code editor for custom scripts and algorithms, Centralized data catalog for managing schemas and metadata, Visual data explorer for ad-hoc SQL queries, REST API and SDKs for developer integration, Collaboration features for sharing projects and permissions, Secure data encryption and access controls and pros including Intuitive UI for non-technical users, No coding required for basic workflows, Scales to handle large data volumes, Fast time-to-value compared to custom coding, Broad set of pre-built connectors and transformations, Collaboration friendly for teams, Strong security and governance capabilities.

On the other hand, Alteryx is a Ai Tools & Services product tagged with data-preparation, data-analytics, data-cleansing, drag-and-drop-interface, no-code.

Its standout features include Drag-and-drop interface for data preparation, Connects to many data sources, Automates repetitive tasks, In-database analytics, Sharing workflows and apps, Visual workflow design and scheduling, Predictive analytics and machine learning capabilities, Location analytics, Text and social media analytics, Data cleansing tools, Data blending and joining, Data warehousing, and it shines with pros like Intuitive visual workflow design, No coding required, Automates repetitive tasks, Powerful data preparation capabilities, Integrates with R and Python, Scalable across the organization, Great for non-technical users.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Keboola Connection

Keboola Connection

Keboola Connection is a cloud-based data integration platform that allows you to easily connect, transform, and analyze data from various sources. It provides an intuitive drag-and-drop interface to build data pipelines without writing code.

Categories:
etl data-pipeline data-transformation

Keboola Connection Features

  1. Drag-and-drop interface for building data pipelines
  2. Pre-built components for common data sources and transformations
  3. Orchestration for scheduling and automating workflows
  4. Transformation code editor for custom scripts and algorithms
  5. Centralized data catalog for managing schemas and metadata
  6. Visual data explorer for ad-hoc SQL queries
  7. REST API and SDKs for developer integration
  8. Collaboration features for sharing projects and permissions
  9. Secure data encryption and access controls

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Intuitive UI for non-technical users

No coding required for basic workflows

Scales to handle large data volumes

Fast time-to-value compared to custom coding

Broad set of pre-built connectors and transformations

Collaboration friendly for teams

Strong security and governance capabilities

Cons

Can get expensive for large complex projects

Limited customization compared to custom coding

Not as performant as hand-optimized data pipelines

Proprietary platform locks you in

Steep learning curve for advanced features

Limited capabilities for real-time or streaming data


Alteryx

Alteryx

Alteryx is a data preparation and analytics software that enables users to quickly combine, cleanse, and analyze data across multiple sources for deeper insights. It provides an intuitive drag-and-drop interface to prep data without coding.

Categories:
data-preparation data-analytics data-cleansing drag-and-drop-interface no-code

Alteryx Features

  1. Drag-and-drop interface for data preparation
  2. Connects to many data sources
  3. Automates repetitive tasks
  4. In-database analytics
  5. Sharing workflows and apps
  6. Visual workflow design and scheduling
  7. Predictive analytics and machine learning capabilities
  8. Location analytics
  9. Text and social media analytics
  10. Data cleansing tools
  11. Data blending and joining
  12. Data warehousing

Pricing

  • Subscription-Based

Pros

Intuitive visual workflow design

No coding required

Automates repetitive tasks

Powerful data preparation capabilities

Integrates with R and Python

Scalable across the organization

Great for non-technical users

Cons

Can be expensive for smaller organizations

Steep learning curve for advanced analytics

Limited customization compared to coding

Not as flexible as open-source options

Data volume limitations in lower tiers