Question: Can you suggest a solution that allows me to ingest data from multiple sources without sampling or worrying about retention?

If you need a system to pull data from multiple sources without sampling or worrying about retention, check out Airbyte. This open-source data integration service supports more than 300 structured and unstructured data sources and can send data to many destinations. It includes automated schema evolution to adapt to changes in data sources and has security features to meet major standards. With multiple deployment options and easy management, Airbyte can handle small-scale and large-scale data integration needs.

Another good option is Stitch, a cloud-based ETL service that lets you get data from more than 140 sources into a cloud data warehouse for big data analysis. Stitch automates cloud data pipelines, so there's no programming required, and supports a wide range of data sources including Salesforce and Google Analytics. The service is designed to make data integration easier, unloading the work from IT and delivering fresh, reliable data for better decision making.

Fivetran is another mature option for automated data integration. It supports more than 500 sources and offers several deployment options to ensure data integration is secure in on-premise, cloud and hybrid environments. Fivetran's service makes data operations easier and decision making more effective with features like real-time analytics and support for major security standards.

Estuary is geared for real-time data integration, with a focus on change data capture (CDC), ETL and streaming pipelines. With more than 100 no-code connectors and features like stream-store-replay and materialization, Estuary offers low-latency and reliable data pipelines. Its pricing is based on the amount of change data it has to move, so it's a good option for businesses that need to handle a lot of data.