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| Product | Market Share (%) |
|---|---|
| Alation Data Catalog | 5.5% |
| IBM Data Governance | 1.6% |
| Other | 92.9% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 7 |
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.
IBM Data Governance is a comprehensive solution designed to help organizations effectively manage and govern their data assets. Its primary use case is to establish and enforce data policies, standards, and rules across the enterprise.
The most valuable functionality of IBM Data Governance includes data classification, data lineage, and data quality management. Data classification enables organizations to categorize and label data based on sensitivity, ensuring compliance with regulations like GDPR. Data lineage provides a clear understanding of the origin and movement of data, facilitating data governance and decision-making. Data quality management ensures data accuracy, completeness, and consistency, enhancing overall data reliability.
IBM Data Governance helps organizations in several ways. Firstly, it improves data visibility and control, enabling organizations to understand their data landscape and make informed decisions. Secondly, it enhances data security and privacy by enforcing policies and standards, reducing the risk of data breaches. Thirdly, it promotes collaboration and accountability among data stakeholders, fostering a culture of data governance. Lastly, it enables organizations to optimize data usage and value, leading to improved operational efficiency and better business outcomes.
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