Alation Data Catalog and Collibra Catalog compete in the data catalog market. Collibra is considered more robust due to its comprehensive feature set, while Alation is seen as more affordable, attracting budget-conscious buyers.
Features: Alation offers intuitive search capabilities, strong data stewardship, and simple onboarding of data sources. Collibra provides advanced data governance, robust data lineage visualization, and the ability to monitor data quality effectively.
Room for Improvement: Alation could enhance its data governance app integration and expand its data consumer reach. Collibra might improve in simplifying its complex deployment process and streamline its user training resources.
Ease of Deployment and Customer Service: Alation offers quick deployment with seamless integration. Collibra requires a more complex setup but compensates with detailed support and comprehensive training resources.
Pricing and ROI: Alation is known for its competitive pricing and quick ROI, suitable for smaller organizations. Collibra requires higher initial investment but promises substantial ROI through its extensive features for larger enterprises focused on advanced governance capabilities.
Alation pioneered the data catalog market and is now leading its evolution into a platform for a broad range of data intelligence solutions including data search & discovery, data governance, lineage, stewardship, analytics, and digital transformation.
Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. With Alation, analysts are empowered to search, query and collaborate on their data to achieve faster, more accurate insights.
Trusted by 400+ enterprises worldwide like Salesforce, Nasdaq, LinkedIn, Finnair, and Cisco.
Collibra Catalog is both a report and a data catalog that helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving critical business challenges.
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