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Frequently Asked Questions
Everything you need to know about how our workflow-based pricing keeps costs predictable
How does Datamorf’s pricing work?
Datamorf charges per workflow execution rather than per task, meaning a multi-step automation (e.g., extracting, enriching, and pushing data) is billed as a single execution. This makes it more cost-effective compared to other platforms that charge per step or data volume.
How is Datamorf different from Zapier, Make, or Hightouch?
Datamorf follows a structured three-step workflow: extract, process, and activate. Each workflow execution can run multiple tasks within these steps, all billed as a single execution, making costs predictable. It includes pre-built data transformation capabilities but also supports custom code transformations and AI connections for more advanced processing.
Additionally, Datamorf features a built-in data extractor, allowing you to actively pull and process data based on specific filters from and to your main platforms without relying on external tools.
Can I combine multiple actions within one workflow?
Yes, Datamorf allows you to combine multiple actions within a single workflow. Each workflow follows a structured three-step process—extract, process, and activate—where each step can include multiple tasks. This means you can perform complex operations, such as extracting data, enriching it with AI, and sending it to multiple destinations, all within a single workflow execution, keeping costs predictable and operations efficient.
How does Datamorf help reduce costs?
Since Datamorf charges per workflow execution instead of per action, you can include multiple data transformations, enrichments, and activations in a single run without increasing costs. This pricing model significantly reduces expenses, especially for high-volume operations.
How scalable is Datamorf?
Datamorf is built for scalability. It can handle anything from small automated workflows to large-scale data processing without manual intervention. Workflows run independently and can be scheduled or triggered in real time. Since each workflow execution can process multiple tasks, businesses can scale operations efficiently without increasing costs unpredictably.
Datamorf also supports chaining workflows, allowing complex processes to run seamlessly. Whether you need to process thousands or millions of records, Datamorf adapts to your volume with minimal effort.