10+ IBM Infosphere QualityStage Alternatives and Competitors

IBM Infosphere QualityStage

IBM InfoSphere QualityStage is a data quality software powered by IBM. IBM InfoSphere QualityStage enables its users to seamlessly manage, investigate, and clean every data for big data, business intelligence, application migration, data warehousing, and more data management processes. Thanks to its key features such as data profiling, data classification, built-in governance, and on-premise or cloud deployment access, one can enjoy data quality processes in just one app! As part of IBM’s comprehensive solution for enterprise operations, IBM InfoSphere QualityStage encompasses all the essential tools for data quality processes. IBM InfoSphere QualityStage is programmed to help operations drive effective data quality, allowing users to oversee critical operational processes. What also makes IBM InfoSphere QualityStage a superb platform, is it provides other high-end solutions for business intelligence, data warehousing, application migration, and master data management projects. With thousands of users who trust IBM InfoSphere QualityStage, the software now becomes one of the best data quality software to use, at par with other leading providers like Talend Open Studio, RingLead, SAS Data Quality, and Oracle Enterprise Data Quality.
Alternatives
Logo | Name Sort | Rating Sort | CEO | Pricing Sort | Founded Sort | Revenue Sort | Employees Sort | Location Sort | Reviews Sort | Customers Sort |
---|---|---|---|---|---|---|---|---|---|---|
![]() | Informatica Data Quality | Amit Walia | N/A | 1993 | $1.3 B | 4,800+ | California | 1787+ Reviews | 9.5K + | |
![]() | Microsoft Data Quality Services | Satya Nadella | N/A | 1989 | N/A | 1,564+ | Colorado | 1879+ Reviews | 50K + | |
![]() | Melissa Data Quality Suite | Raymond Melissa | N/A | 1985 | $29.1 M | 250+ | Santa Margarita | 1578+ Reviews | 10K + | |
![]() | Openprise | Ed King | N/A | 2013 | $6.2 M | 55+ | San Francisco | 1787+ Reviews | 100M + | |
![]() | SAP Data Services | Bernard Liautaud | $22 | 1990 | $27.5 B | 500+ | California | 1578+ Reviews | 50K + | |
![]() | Oracle Enterprise Data Quality | Safra Catz | N/A | 1999 | $1 M | 500+ | Redwood City | 1457+ Reviews | 110K + | |
![]() | SAS Data Quality | James Goodnight | N/A | 1976 | $3.3 B | 13,939+ | Cary | 1787+ Reviews | 83K + | |
![]() | RingLead | Chris Hickey | $20 | 2003 | $8 M | 63+ | Melville | 1875+ Reviews | 35.6K + | |
![]() | IBM Infosphere QualityStage | Arvind Krishna | $7800 | 1983 | $79.1 B | 200+ | New York | 1778+ Reviews | 4.1K + | |
![]() | Talend Open Studio | Mike Tuchen | N/A | 2005 | $1 M | 1,200+ | California | 1880+ Reviews | 4.3K + |
Contact Info
Key Employees
Image | Name | Designation | |
---|---|---|---|
![]() | Rosie Pongracz | VP Marketing | https://www.linkedin.com/in/rosiepongracz |
![]() | Shyam Nagarajan | https://www.linkedin.com/in/shyamnagarajan | |
![]() | Marius Egher | https://www.linkedin.com/in/marius-egher |
Reviews
“ The most complete plataform to all integration, data quality and infomation governance products. ”
- Suite components are highly integrated, creating and holistic user experience in managing corporate data from a centralized way.
- I like the spirit of the tool and how Xmeta really ties all the pieces together.
- There is no negative points on this platform, as well as no other product in market with the same holistic approach.
- The shift in agile development of the tool has made the tool adoption slower that desired. There have been some stability issues.
“ Has helped us scale our operations and deploy solutions. ”
- We like how easy it is to use and more importantly how easy it is to train new team members on it is.
- Additionally we also like the capability to incorporate multiple solutions i.e. Governance, Data Management etc.
- The product is not readily available in a limited scope for developers to use in a sandboxing environment.
- Therefore, younger developers typically require several years of on-the-job training before they become proficient in using the product.
“ QualityStage - Improving Data Quality as part of the Data Integration Process ”
- QualityStage is used as a corporate tool for profiling and data cleaning.
- It is used especially in the data warehousing area, but also in other areas such as marketing and sales.
- Should include all the data profiling functionality.
- Better features to tune matching capability.
Features
- Access Control
- Analytics
- Accounting Intergration
- Application Integration
- Assessment Management
- Assignment Management
- Billable Hours Tracking
- List Management
- Marketing Automation
- Sales Enablement
- Sales Force Automation
- Security
- Team Collaboration
- Predictive Sales
- Process Management
Images & Videos
Q & A
IBM InfoSphere QualityStage offers a price-on-request method for a subscription. Hence, if you wish to purchase the software, make sure to contact IBM’s team today and find out what’s the right plans or bundles that would suit your organization’s operation.
IBM InfoSphere QualityStage helps you in supporting your data quality management, allowing you to gain an all-around view of your business customers, vendors, locations, and product specifications. It all works through IBM InfoSphere QualityStage’s top-notch quality management features, such as deep data profiling, data classification, data quality rules, built-in governance, automatic business-term assignment, and data standardization and record matching.
IBM InfoSphere QualityStage gives you two different deployment options that you can choose to have, which is the on-premise or cloud deployment. The platform provides you an avenue to determine the type of deployment that you want to have since they offer you a flexible deployment option. With this feature, you have the liberty to extend your on-premises capacity or move to the cloud, allowing you to process faster time-to-value, reduce administration costs, as well as lower the unwanted risk of subscription pricing.
InfoSphere QualityStage’s data standardization and record matching primary function are to synthesize all of the data coming from various sources into a standard format for the target environment. This feature also has the power to duplicate and merge multiple systems into a single view allowing you to create accurate data.