Before revision: Experiments are the gold standard for causal identification but often have limited scale, while observational datasets are large  but often violate standard identification assumptions.
After revision: Randomized controlled trials generate experimental variation that can credibly identify causal effects, but often suffer from limited scale, while observational datasets are large but often violate standard identification assumptions.