Question: I'm looking for a flexible way to transform and enrich event data before sending it to my warehouse - do you know of any tools that can do this?

If you need a flexible way to transform and enrich event data before sending it to your warehouse, Airbyte is a great choice. This open-source data integration platform can move data from more than 300 sources to many destinations, including a Connector Builder for custom connectors and Automated Schema Evolution for efficient change data capture. It also offers integrations with services like OpenAI and dbt, so it's a good choice for data engineers and analysts.

Another powerful option is Jitsu, which is designed to collect and integrate event data. It can collect data from multiple sources and send it to a data warehouse, and it can send events in real time through its JavaScript runtime environment, Jitsu Functions. With support for multiple data warehouses and flexible pricing, Jitsu is a good option for companies large or small.

If you're looking for a real-time data integration platform that's good for change data capture (CDC), ETL and streaming pipelines, check out Estuary. It's got 100+ no-code connectors for capturing data, stream-store-replay for storing and replaying data, and automated pipelines with schema evolution. Estuary's platform is designed to be reliable and low latency, so it's good for fast-moving DataOps.

Last, Databar takes a no-code approach to collecting and automating data. It can connect to more than 1,000 connectors, including third-party APIs, and has features like dynamic data enrichment and live data visualization. It's good for sales and marketing, finance and e-commerce, among other areas.