Airbyte, a leading open-source data movement platform, has introduced a groundbreaking pricing model designed to offer businesses cost predictability based on capacity rather than data volume. This innovative approach ensures greater flexibility and control for organizations leveraging artificial intelligence (AI), data lakes, and real-time analytics.
Following a successful pilot phase, which received overwhelmingly positive feedback, Airbyte conducted a comprehensive survey of over 500 organizations. The findings revealed widespread concerns regarding the unpredictability and cost spikes associated with traditional volume-based pricing models.
“Volume-based pricing just doesn’t work at scale, especially as organizations face a rapidly changing landscape driven by AI, data lakes, and real-time analytics,” said Michel Tricot, CEO and co-founder, Airbyte. “Unlike alternatives, our pricing is simplified, predictable, and aligned with customer value. Customers can scale their data operations with control without hurting their ability to innovate and experiment with new datasets.”
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This new pricing structure applies to Airbyte Teams and Enterprise products, with costs determined by factors such as the number of connections and data sources, the frequency of data refreshes (daily, hourly, or real-time), and pipeline scheduling requirements.
For Airbyte Cloud, the pricing model remains unchanged. The existing pay-as-you-go and credit-based options continue to be ideal for smaller organizations with fewer data sources and stable, predictable data needs, eliminating the need for these businesses to build and maintain their own infrastructure.
Airbyte simplifies data movement across diverse sources and destinations, making data access more efficient and cost-effective for enterprises. By empowering organizations to seamlessly integrate and analyze data, Airbyte enhances decision-making and business intelligence capabilities.
