G2

Prakash U.

AWS Data Engineer

Small-Business (50 or fewer emp.)

4/13/2023

"Data governance is must for every organisation growth"

5/5

What do you like best about Informatica Data & AI Governance, Privacy?

What I like most about Informatica Cloud Data Governance and Catalog is how it can automatically discover, catalog, and govern enterprise data across both cloud and on-prem environments, while also providing end-to-end data lineage and AI-driven metadata intelligence. It makes data governance easier by helping technical and business users clearly understand data flow, ownership, data quality, and impact analysis across platforms such as Amazon Web Services, Snowflake, and Databricks. Overall, this improves data trust, supports compliance, boosts operational efficiency, and strengthens decision-making. Review collected by and hosted on G2.com.

What do you dislike about Informatica Data & AI Governance, Privacy?

One thing I dislike about Informatica Cloud Data Governance and Catalog is that the initial setup and governance framework design can be complex, particularly in large enterprises with many data sources and legacy systems. Even though the platform is powerful, configuring metadata ingestion, lineage, roles, policies, and stewardship workflows often takes careful planning and typically requires experienced administrators. In addition, certain advanced features and integrations can drive up licensing costs, and performance may slow down when the tool is managing very large metadata environments unless it is properly optimized. Review collected by and hosted on G2.com.

What problems is Informatica Data & AI Governance, Privacy solving and how is that benefiting you?

Informatica Cloud Data Governance and Catalog addresses major challenges with data visibility, governance, lineage, and trust across complex enterprise environments. It helps by automatically cataloging data assets, tracking end-to-end lineage, identifying sensitive data, and strengthening data quality management across platforms such as Amazon Web Services, Snowflake, and Databricks. For me, this reduces the manual effort involved in data discovery and impact analysis, speeds up troubleshooting and root-cause identification, improves compliance readiness, and helps teams trust the data and use it more efficiently for analytics and business decisions. Review collected by and hosted on G2.com.