Amazon S3 to Bigquery in minutes
Amazon S3, or Simple Storage Service, is an object storage service offered by AWS. S3 is a cost-effective, durable, and elastic resource, making it easy to store data in the cloud.
S3 lets you organize your data into “buckets” and provision access, so you can share data quickly, easily, and safely.
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 helps move data from
Amazon S3 to Bigquery in minutes with millisecond latency.
Estuary builds free, open-source connectors to extract data from S3 as soon as it arrives, allowing you to easily create always-up-to-date copies of that data across your systems.
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.