In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool, similar to Databricks and Azure Data Lake, depending on the kind of capabilities required. I believe that having updated documentation is crucial as we encountered a scenario while going through documentation that had not been updated since 2024, which introduced risks since we rely on accurate documentation for task imports and endpoint re-credentialing considerations before reaching out to customer support. Additionally, functionalities for running standardized data quality rules and validation logic, along with exception monitoring similar to what is available in Databricks, would be beneficial for users. While Qlik Replicate is scalable, I find there are limitations. When deploying a tool, it can be centralized, decentralized, or federated, depending on the organization's control and responsibility preferences. We successfully scaled several of our Oracle RDBMS systems simultaneously, including PeopleSoft HR and our network access request systems. However, addressing the shortcomings we discussed would enhance its competitiveness in the market.
