Question: I'm looking for a solution that allows me to ingest and serve big data sets efficiently, without requiring custom scripts or extra tooling.

If you're looking for a service that lets you ingest and serve large data sets without having to write custom scripts or install extra software, Tinybird is a good choice. The real-time data product platform lets data teams rapidly create and deploy fast data products. It can ingest millions of rows per second in real time and offers SQL-based API endpoints to query and publish data, so it's good for user-facing analytics and real-time personalization.

Another powerful option is Cloudera, a hybrid data platform that securely ingests, processes and analyzes data in both cloud and on-premises environments. It can consolidate vast amounts of data from many sources into a unified, trusted system, and it can be used for real-time insights, automated data pipelines and big data analytics. It's flexible and scalable, and it's good for industries like financial services, manufacturing and healthcare.

If you need a cloud-based ETL tool, check out Stitch. It lets you get data from more than 140 sources into a cloud data warehouse with no programming. Stitch offers automated cloud data pipelines, high-speed data transfer and enterprise-level security, making it good for both data engineers and business analysts. It supports a wide variety of data sources, making data integration easier and ensuring you have fresh and reliable data.

Another open-source data integration tool is Airbyte, which can move data from more than 300 structured and unstructured sources to multiple destinations. It includes features like automated schema evolution and security that meets various regulatory requirements. It's good for data engineers, AI engineers and analytics engineers, and it can be deployed in a variety of ways and has a user-friendly interface for managing pipelines.