Informatica Data Quality Description
Provide immediate strategic advantages by delivering comprehensive support for the evolving demands of data quality across various users and types through AI-powered automation. Regardless of the initiative your organization is undertaking—be it data migration or advanced analytics—Informatica Data Quality offers the necessary flexibility to seamlessly implement data quality across all scenarios. Empower your business users while enhancing collaboration between IT and business leaders. Oversee the quality of both multi-cloud and on-premises data for diverse applications and workloads. Integrate human interventions into the workflow, enabling business users to review, amend, and approve exceptions during the automated process. Conduct data profiling and continuous analysis to reveal connections and more effectively identify issues. Leverage AI-driven insights to automate essential tasks and streamline data discovery, thereby boosting productivity and operational efficiency. This comprehensive approach not only enhances data quality but also fosters a culture of continuous improvement within the organization.
Informatica Data Quality Alternatives
Semarchy xDM
Experience Semarchy’s flexible unified data platform to empower better business decisions enterprise-wide.
With xDM, you can discover, govern, enrich, enlighten and manage data. Rapidly deliver data-rich applications with automated master data management and transform data into insights with xDM.
The business-centric interfaces provide for the rapid creation and adoption of data-rich applications. Automation rapidly generates applications to your specific requirements, and the agile platform quickly expands or evolves data applications.
Learn more
DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Learn more
Immuta
Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number.
Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse.
Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.
Learn more
QuerySurge
QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing.
Use Cases
- Data Warehouse & ETL Testing
- Big Data (Hadoop & NoSQL) Testing
- DevOps for Data / Continuous Testing
- Data Migration Testing
- BI Report Testing
- Enterprise Application/ERP Testing
Features
Supported Technologies - 200+ data stores are supported
QuerySurge Projects - multi-project support
Data Analytics Dashboard - provides insight into your data
Query Wizard - no programming required
Design Library - take total control of your custom test desig
BI Tester - automated business report testing
Scheduling - run now, periodically or at a set time
Run Dashboard - analyze test runs in real-time
Reports - 100s of reports
API - full RESTful API
DevOps for Data - integrates into your CI/CD pipeline
Test Management Integration
QuerySurge will help you:
- Continuously detect data issues in the delivery pipeline
- Dramatically increase data validation coverage
- Leverage analytics to optimize your critical data
- Improve your data quality at speed
Learn more
Integrations
Company Details
Company:
Informatica
Year Founded:
1993
Headquarters:
United States
Website:
www.informatica.com/products/data-quality.html
Media
Recommended Products
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Product Details
Platforms
Web-Based
On-Premises
Informatica Data Quality Features and Options
Data Quality Software
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Informatica Data Quality User Reviews
Write a Review- Previous
- Next