Kinesis to Bigquery in minutes
Amazon Kinesis is a managed service offered by Amazon that aims to make it easy to collect, process, and analyze streaming data.
Kinesis is a popular choice for streaming backbones because it’s in the AWS ecostystem and relatively simple to set up compared to other data streaming options.
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
Kinesis to Bigquery in minutes with millisecond latency.
Estuary builds free, open-source connectors to extract data from Kinesis with millisecond latency, allowing you to replicate that data to various systems for both analytical and operational purposes. Kinesis data exists in a stream and often benefits from being organized into a data lake or warehosue for analytics with 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.