Alteryx vs StreamSets

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

Alteryx is a Ai Tools & Services solution with tags like data-preparation, data-analytics, data-cleansing, drag-and-drop-interface, no-code.

It boasts features such as 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 pros including 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.

On the other hand, StreamSets is a Development product tagged with data-pipelines, etl, big-data.

Its standout features include Drag-and-drop interface, Pre-built connectors, Real-time data pipelines, Data drift monitoring, Data lineage tracking, and it shines with pros like Easy to use, Fast setup, Scalable, Open source, Cloud native.

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.

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


StreamSets

StreamSets

StreamSets is an open source data integration platform for building and managing big data pipelines. It offers a simple and intuitive drag-and-drop interface to help users quickly build pipelines to transfer data between a variety of sources and destinations including databases, data lakes, and cloud platforms.

Categories:
data-pipelines etl big-data

StreamSets Features

  1. Drag-and-drop interface
  2. Pre-built connectors
  3. Real-time data pipelines
  4. Data drift monitoring
  5. Data lineage tracking

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Easy to use

Fast setup

Scalable

Open source

Cloud native

Cons

Limited transformation capabilities

Less flexible than coding

Steep learning curve