real-time Webhook to Bigquery in minutes

Webhook

Webhooks allow you to enhance or alter the behavior of a web page with custom, user-defined HTTP callbacks.

These callbacks can be made by third-party developers from other sites or locations. Webhooks are commonly used for analytics, relaying information from one place on the web to another by sending information electronically between them.

Bigquery

Google Bigquery is a cloud-based data warehouse that offers highly scalable and distributed SQL querying over large datasets. Using OLAP (Online Analytical Processing), Bigquery offers the ability to rapidly answer multi-dimensional analytic database queries with potentially large reporting views by breaking a query up between many worker nodes and reassembling the finalized answer.

Estuary builds free, open-source connectors to extract data from webhooks, allowing you to organize and replicate that data with millisecond latency and history.

Data can then be directed to Bigquery using materializations that are also open-source. Connectors have the ability to keep warehouses as up-to-date as the warehouse can handle without incurring costs. This allowing Bigquery to receive data with under 10-second latency.

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Estuary helps move data from

Webhook to Bigquery in minutes with millisecond latency.

Estuary helps move data fromWebhook to Bigquery in minutes with millisecond latency.

About Estuary

Estuary enables the first fully managed ELT service that combines both millisecond-latency and point-and-click simplicity. Flow empowers customers to analyze and act on both historical and real-time data across their analytics and operational systems for a truly unified and up-to-date view.

Flow is developed in the open and utilizes open source connectors that are compatible with a community standard. By making connectors interchangeable with other systems, the Estuary team hopes to expand the ecosystem for everyone’s benefit, empowering organizations of all sizes to build frictionless data pipelines, regardless of their existing data stack.