Alation offers enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation operates in thethe data catalog market. With its Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine…
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Alation offers enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation operates in the data catalog market. With its Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight with the goal of tackle the most demanding challenges in data and metadata management.
The vendor states that more than 450 enterprises drive data culture, improve decision-making, and realize business outcomes with Alation, including AbbVie, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, Munich Re, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vistaprint.
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac, CentOS, RedHat Enterprise Linux, Ubuntu, Debian, SUSE Linux, Fedora, Amazon Linux |
| Mobile Application | No |
| Supported Languages | English |
Increased Data Collaboration: Users have appreciated the platform for facilitating increased data collaboration and knowledge transfer among teams, leading to improved decision-making processes and overall efficiency within the organization. This enhanced collaboration has resulted in a more cohesive approach to data management, with users leveraging diverse expertise to generate insights that drive business growth.
Search Capabilities: Reviewers have highlighted the Business Glossary feature and search capabilities as beneficial for enhancing data access and search functionalities, allowing users to quickly find relevant information and understand complex datasets more effectively. The robust search functionality has empowered users to locate critical data assets efficiently, promoting better-informed decisions across various projects.
Integration with Other Programs: The integration with SQL Server and Tableau has been seen positively by users, allowing for seamless connectivity between different tools, streamlining workflows, and promoting better insights through combined data analysis. By enabling smooth interoperability with popular programs like SQL Server and Tableau, the platform enhances productivity by simplifying data exchange processes and ensuring consistency in analytics outputs.
Confusing Data Mapping: Users have found the data mapping process to be perplexing, indicating a strong need for clearer guidance and more intuitive instructions to navigate this aspect effectively. Some users have mentioned struggling with understanding the relationships between different datasets and fields, leading to frustrations in setting up proper mappings.
Limited Support Service: Several users have expressed dissatisfaction with the support service, suggesting that enhancements are necessary to address existing issues and improve the overall level of assistance provided by the platform. Users have also reported delays in response times from support staff and difficulties in getting timely resolutions to their queries or technical issues.
Complex Lineage UI: Criticisms from users highlight the intricate nature of the lineage user interface, stating that it presents visual challenges in tracking specific paths. Simplification and enhanced visual clarity are recommended to facilitate smoother usability. Users have specifically pointed out instances where tracing data origins or dependencies becomes convoluted due to the cluttered design of the UI elements.
