I really appreciate Monte Carlo for its easy-to-navigate UI and the high level of automation it operates with. The best part is that everything is configurable via code. The coverage is amazing, and even though we haven't used it extensively, the data lineage tracking is sometimes very useful and well built. The initial setup was extremely easy, which was a big plus. Review collected by and hosted on G2.com.
Cost is a big tradeoff, for a tool that wants us to have full 100% coverage for the best possible setup, for larger orgs it's quite expensive due to the pricing structure. Google Bigquery has wildcard sharded tables which when added to be monitored via Monte Carlo acts as a single table, this means when this sharded table has a partition expiry it's treated as a row deletion unfortunately rather than a detected partition expiry. The out of the box ML powered training of the monitors could be refined a little. Sometimes it takes too many iterations to let Monte Carlo know what is normal and what isn't. It's worse when it's the opposite. Review collected by and hosted on G2.com.
