Best Webhook Platforms for Databricks

Find and compare the best Webhook platforms for Databricks in 2026

Use the comparison tool below to compare the top Webhook platforms for Databricks on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Convoy Reviews

    Convoy

    Convoy Webhooks

    $99 per month
    Convoy serves as a robust webhook gateway designed for businesses to reliably send and receive events. It offers developers a comprehensive solution for secure and scalable webhook delivery, empowering teams to effectively manage both incoming and outgoing webhooks through features such as retries, signatures, rate limiting, endpoint controls, observability, and the assurance of functionality at scale. Tailored for developers and endorsed by prominent enterprises, Convoy functions similarly to an API gateway specifically for webhooks, allowing engineering teams to handle millions of events seamlessly without the need to construct delicate webhook infrastructures internally. The platform includes advanced capabilities for endpoint management, subscription filtering based on event body and headers, payload search functionalities, static IP support, circuit breaking mechanisms, rolling secrets, OAuth2 authentication for endpoints, and structures that accommodate multi-tenant organizations and projects. Additionally, Convoy's Playground simplifies webhook testing by enabling teams to generate webhook URLs, examine payloads, and scrutinize headers all within a unified interface, enhancing the overall developer experience. Thus, it ultimately helps organizations streamline their event-driven architectures while ensuring reliability and security.
  • 2
    Kestra Reviews
    Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.
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