--- title: Informatica Cloud Data Quality Reviews meta_title: 'Informatica Cloud Data Quality Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 20 reviews by the users' company size, role or industry to find out how Informatica Cloud Data Quality works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 20 scale: '5' date_modified: '2026-08-07' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Informatica Cloud Data Quality Reviews **Vendor:** Informatica **Category:** [Data Quality Tools](https://www.g2.com/categories/data-quality) **Average Rating:** 4.1/5.0 **Total Reviews:** 20 ## About Informatica Cloud Data Quality Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The solution transforms your data quality processes into a collaborative effort between business users and IT. This creates an environment that leverages data to ensure success in master data management, AI, ML, and cloud modernization initiatives. ## Informatica Cloud Data Quality Reviews ### 1. Sr Data Quality Consultant - experienced IDQ implementation in various industries and platforms. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** May 24, 2023 **What do you like best about Informatica Cloud Data Quality?** I am impressed by Informatica's product integration (e.g. PC 'talks' to PWX and IDQ etc) as well as the robust OOTB content for cleansing rules, reference data and industry specific validation rules. The IDQ Developer tool has productivity and debugging features such as mid-stream profiling. **What do you dislike about Informatica Cloud Data Quality?** The biggest downside to IDQ is the relative cost to other tools. As a consultant, I find that many clients just cannot justify the Informatica price tag $$ and often chose an open source solution. They later discover the cost of coding the transformation rules from scratch outrun the cost of INFA license. **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** I recently used IDQ to cleanse customer data, in conjunction with MDM. The development time using IDQ is significantly reduced while all rules are maintained in the INFA repository. INFA IDQ and MDM products are nicely integrated. ### 2. Coordinate and clean web services with IDQ **Rating:** 4.5/5.0 stars **Reviewed by:** Collin H. | Information Technology Staff, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** October 09, 2019 **What do you like best about Informatica Cloud Data Quality?** The correction of equations and methods have worked out pretty well with IDQ when it comes to manual data entry, as it has allowed us to have a proper interpretation of the results. It is really helpful when you want to blend with current ETL mapping regulations and also provide added value by some quality control statements. Also, it allows you to look at the data in real-time, as the data quality algorithm tests and performs the specific rules after building the job by developing a Navigation window to instantly update and access the data. For reliable and immaculate results, IDQ assisted us by identifying inaccurate accounting information. **What do you dislike about Informatica Cloud Data Quality?** It was difficult for us to export wrong record tables and redundant tables. Also, you probably will need a very powerful hardware to be able to use IDQ properly, as it takes a lot of resources from your computer. **Recommendations to others considering Informatica Cloud Data Quality:** IDQ will work great for client emails, product names, passwords and statuses. You'll be able to import the Data quality mapplets from the server’s developers by using Informatica Power Center. In general, IDQ is a nice product to interpret and translate data in several fields. **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** We use Informatica Data Quality (IDQ) for coordinating and cleaning web services. When we first started using it, we wanted to go to the next level of performance management where duplicates, generic signs, roads and product descriptions that have been changed could be corrected easily, and that’s exactly what we got with IDQ. ### 3. "Informatica Data Quality - Know Your Customer" **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** January 02, 2018 **What do you like best about Informatica Cloud Data Quality?** IDQ has extreme flexibility in how you create rules to identify what is out of compliance. No matter how complex your rules. **What do you dislike about Informatica Cloud Data Quality?** It is not the cheapest solution, but at this time I believe it is the best solution. Knowing your customers and accurately managing them justify getting the best product. **Recommendations to others considering Informatica Cloud Data Quality:** Transformations - the types of transformations (SQL Logics) provided are unmatched to any other ETL tool out there. When it comes to using transformations, even a beginner can understand with minimal effort, how to use them or what the expected output will be using that particular transformation. Most of them are self-explanatory, and provide the desired output. Especially Expression Transformation (which is the heart of any mapping). **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** Each night we process every customer, vendor and product. We generate reports of exceptions and these are distributed to the stewards of the data to allow them to correct issues. ### 4. Really useful tool for analyzing the quality of data in the ODS. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.) **Reviewed Date:** November 29, 2017 **What do you like best about Informatica Cloud Data Quality?** Address validation feature, ability to rapidly develop rules **What do you dislike about Informatica Cloud Data Quality?** Difficulty with documentation and lack of adequate training. **Recommendations to others considering Informatica Cloud Data Quality:** Worth the investment **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** Address validation, analyst tool for profiling the quality of data. ### 5. Informatica IDQ is Good tool to work **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Enterprise (> 1000 emp.) **Reviewed Date:** October 08, 2014 **What do you like best about Informatica Cloud Data Quality?** I like the IDQ interface the way it looks for developer to work and identify the functions so easily **What do you dislike about Informatica Cloud Data Quality?** It takes a little time to get used to. Once you know about the software it is easy to use but there is a lot of effort to know what is there inside before being master **Recommendations to others considering Informatica Cloud Data Quality:** its good tool, people who want to pay more to informatica instead of little home remedy tips to clean the data in EDW **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** Integrating various business systems. ### 6. Great ETL tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2014 **What do you like best about Informatica Cloud Data Quality?** Ease of Data Migration. Totally on cloud. Fast and Easy Job Creation. **What do you dislike about Informatica Cloud Data Quality?** Sometimes very slow in browser. No job Archival. **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** We have different systems, Using Informatica to couple all the data together and do all kinds of reports, etc. ### 7. Well Designed Product **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services **Reviewed Date:** November 21, 2013 **What do you like best about Informatica Cloud Data Quality?** It is simple easy to use. You can set it up and running right away. **What do you dislike about Informatica Cloud Data Quality?** It takes a little time to get used to. Once you know about the software it is easy to use but there is a learning curve. **What problems is Informatica Cloud Data Quality solving and how is that benefiting you?** Integrating various business systems. ### 8. Review **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** September 19, 2012 - [View Informatica Cloud Data Quality pricing details and edition comparison](https://www.g2.com/products/informatica-cloud-data-quality/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-09+23%3A18%3A32+-0500&secure%5Bsession_id%5D=518798e7-9c2b-4224-b593-af5f256afb64&secure%5Btoken%5D=f6cc9ce5fae309cafa661cdd7cb624963142ea955b75a30ef254720bfcda668b&format=llm_user) ## Informatica Cloud Data Quality Features **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **Management** - Scheduled Data Checks - Reporting **Development ** - Real-Time Integration - API Designer - Flow Designer - Pre-Built Connectors - Custom Connectors - Reusable connectors - Multi - tenant architecture - Data Connectors - QuickBooks Integration - Active Directory Integration - Cloud Data Integration - ERP integration - Third-Party Integrations - Social Media Integration - Accounting Integration - Website Integration **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage - Data Visualization **Compliance** - Sensitive Data Compliance - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Functionality** - Address Verification - Automation - Cleansing - International Verification **Management ** - Monitoring & Notification - Routing And Orchestration - Data Mapping - Data Transformation - API Management - Data Management - Document Management - Workflow Management - Application Management - Transaction Management - Metadata Management - Integrations Management - Data Storage Management - User Management - Payroll Management - Email Management - Integration Management - Help Desk Management - HR Management - eCommerce Management - Sales Management - Real-Time Monitoring - Real-Time Notifications **Security** - Access Control - Roles Management - Compliance Management - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata Management **Additional Functionality** - For eCommerce - Third-Party Integrations - Location Tracking - Automatic Formatting - Generative AI - Contact Database - Data Security - Metadata Management - API - AI/Machine Learning - Search/Filter - Contact Management - Proof of Delivery - AI Copilot - Match & Merge - Data Profiling - Reporting/Analytics - Autocomplete - Electronic Forms - Geolocation - Address Validation - Data Quality Control - Delivery Estimate - Data Enrichment - Multi-Language - Recipient Validation - Data Discovery - Data Import/Export - Geographic Maps - Compliance Management **Data Quality** - Data Preparation - Data Distribution - Data Unification **Security** - Data Encryption - Security Standards - Communication Protocol - SSL Security **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching - Real-Time Data **Integration Options** - Data Virtualization - Managed File Transfers - Big Data Processing - EDI - Real-Time Data - Data Capture and Transfer **Generative AI** - AI Text Generation - Generative AI **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Deployment ** - Hybrid - Cloud to Cloud **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making - Third-Party Integrations - Active Directory Integration **Additional Functionality** - Real-Time Updates - Search/Filter - Reporting/Analytics - Data Warehouse - Data Import/Export - ETL - Generative AI - Data Visualization - Access Controls/Permissions - Database Support - Alerts/Escalation - Event Logs - Dashboard - Data Synchronization - Monitoring - Widgets - Real-Time Reporting - API - Multiple Data Sources - Activity Tracking - Drag & Drop - Automated Scheduling - Configurable Workflow - Data Aggregation and Publishing - Data Extraction - Mobile Access - AI Copilot - Web Services - Real-Time Analytics - SMS Messaging - Point of Sale (POS) - CRM - Dashboard Creation - Activity Dashboard - Event Tracking - AI/Machine Learning - Data Quality Control - Accounting - Ad hoc Reporting **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics **Generative AI** - AI Text Generation - Generative AI **Additional Functionality** - Metadata Management - Collaboration Tools - Search/Filter - Workflow Management - AI Copilot - Third-Party Integrations - Data Synchronization - Data Import/Export - Customizable Rules - Master Data Management - Monitoring - Data Transformation - Multiple Data Sources - Self Service Portal - Customer Database - Data Verification - Data Migration - Multi-Language - Single Sign On - Duplicate Detection - Email Address Extraction - Reporting/Analytics - Data Profiling - Data Extraction - Data Mapping - Address Validation - Match & Merge - Performance Metrics - Visual Analytics - Version Control - API - Data Capture and Transfer - Access Controls/Permissions - Compliance Management - Data Discovery ## Top Informatica Cloud Data Quality Alternatives - [Collibra](https://www.g2.com/products/collibra/reviews) - 4.2/5.0 (99 reviews) - [SAP Data Management](https://www.g2.com/products/sap-data-management/reviews) - 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