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Save Millions by Migrating from Alteryx to Sparkflows

Seamlessly migrate from Alteryx to Sparkflows and quickly realize huge benefits. We make the migration process automated and seamless.

Sparkflows – A Powerful Alternative to Alteryx

Sparkflows provides a powerful, web-based alternative to Alteryx — delivering end-to-end scalability to unlimited data sizes with distributed processing, all in a highly governed environment.
It’s designed to help teams handle complex workflows seamlessly, from data preparation to machine learning, with the performance, control, and flexibility enterprises need.

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Why Customers are Migrating to Sparkflows

Discover the powerful benefits that make Sparkflows the smart choice for your data workflows.

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Instant Savings

Save millions on your license and support fees with our cost-effective solution

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Scalability

Seamlessly scale to any size datasets without performance bottlenecks

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Governance

Powerful governance capabilities to manage and secure your datasets

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Web Interface

Powerful end-to-end web interface for seamless workflow management

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Pushdown

Seamless pushdown to Databricks, AWS EMR, Kubernetes, Snowflake, GCP Dataproc, Cloudera and more

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Collaboration

Easy for teams to collaborate on projects with shared workflows

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Copilot

Build workflows and configure complex nodes seamlessly with AI-powered Copilot

Seamless, Automated Migration

Migrate thousands of Alteryx Recipes into Sparkflows Workflows in minutes. Sparkflows automates the entire migration process, preserving every logic, structure, and transformation. Whether you’re migrating hundreds or thousands of workflows, Sparkflows handles the process end-to-end — accurately, securely, and at scale.

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Ready to Run and Execute Instantly

Every migrated workflow is fully functional and ready for execution and validation. Teams can collaborate in real time through the Sparkflows web interface with version control and interactive execution.

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​Example of an auto-translated Sparkflows Workflow generated directly from an Alteryx Recipe — ready to execute, govern, and scale instantly.

Built for Any Environment

Sparkflows runs on cloud, on-premises, or hybrid environments. Deploy as a virtual machine or Docker container, run jobs locally, or push workloads to Databricks, Snowflake, AWS EMR, GCP Dataproc, or Kubernetes — with complete flexibility and control.

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Copilot for Effortless Workflow Building

Copilot helps you build, update, and enhance workflows quickly with AI assistance. Transform workflows into interactive web apps for business users, enabling faster automation, smarter collaboration, and instant insights.

Book a Demo with Us Today

Schedule a personalized demo to walk through the details and get answers to all your questions about migrating to Sparkflows.

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