

SAS Data Management and Alation Data Catalog compete in the data management and cataloging category. While SAS excels in data integration and governance, Alation is preferred for its cloud integration and ease of data discovery.
Features: SAS data integration capabilities and effective governance offer a unified view of enterprise data, supporting a variety of environments for robust data quality management. Users also benefit from its comprehensive reporting tools. Alation facilitates active data governance with strong capabilities in cloud integration and metadata management, emphasizing collaborative features and automated metadata tagging despite some feature maturity limitations.
Room for Improvement: SAS faces licensing cost challenges, setup complexity, difficulties with database connectivity, and requires improved documentation and training. Alation needs enhancements in data governance features, end-to-end data lineage, integration with tools like Power BI, and advancements in technical user-friendliness.
Ease of Deployment and Customer Service: SAS Data Management is deployed on-premises and faces customer service challenges, with dependable deployment but requiring detailed support for technical issues. Alation offers diverse deployment options, including cloud services, and receives better customer service ratings with effective support for user feedback and technical issues.
Pricing and ROI: SAS is considered expensive with significant ROI, especially in sectors like pharmaceuticals, but its licensing model can be a barrier for smaller organizations. Alation's high price point and specific pricing models depend on user types. Users find understanding Alation's pricing offers better deals, with promising ROI similar to SAS, both having high potential in data reliability improvements.
We have seen a return on investment, having saved close to 10.5% of our costs, with expected ROI growing yearly by about 17%.
Instead of going into Google or consulting a colleague, I can just go to Alation Data Catalog, search there, and understand everything by myself.
Some of them have dragged on for six months, which is much longer than we would ever want some support issues to go on.
we have defined several SLAs that have resolved critical issues and incidents with excellent support.
we have been able to contact them, and they have been able to help us whenever we have had issues
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
As data sizes grow, we can also scale categorizations, calibrations, and the types of data we ingest and catalog through this tool.
Alation Data Catalog's scalability is really good since everything is cloud and everything gets pulled into the system via Snowflake and DBT automatically.
Alation Data Catalog's scalability has met our needs as our data and user base has grown.
It has never gone down when we wanted to access it.
Alation Data Catalog has been stable for me, as I haven't seen much downtime.
From my experience, Alation Data Catalog is stable.
The platform needs improvement in integrating with BI tools, reducing manual efforts, and facilitating a smooth connection.
Additionally, bringing in AI capabilities to automate tracking and labeling can optimize how we handle data information levels.
Alation Data Catalog can be improved by enhancing their lineage capabilities to make it easier for us as users to search the lineage without having to use the Alation Data Catalog user interface.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
Collibra is a little bit expensive than Alation, but I presented the benefits of having that platform, so that little bit of money was not a big deal.
Discussions with the vendor partners provided a detailed breakdown of costs and how they can be reduced over time.
From my experience, SAS Data Management is an expensive tool.
It was the only data catalog tool where I could save and even create SQL queries.
Importantly, we establish a single source of truth, centralizing metadata and standardizing definitions, which minimizes confusion and helps with consistent data use across the organization.
My stakeholders can find relevant data assets quickly using a Google search without needing technical jargon, reducing the time spent searching for data.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
| Product | Mindshare (%) |
|---|---|
| Alation Data Catalog | 3.6% |
| SAS Data Management | 1.7% |
| Other | 94.7% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
Alation Data Catalog offers dynamic cloud integration and robust data stewardship, aiding organizations in managing metadata and ensuring efficient data governance. Its active governance model enhances collaboration and productivity through seamless API integration.
Alation Data Catalog empowers organizations by providing tools like seamless cloud integration, automatic data crawling, and a business glossary to strengthen data management. It supports enhanced data discoverability, decision-making, and regulatory compliance. The catalog caters to diverse data sources, providing clear data lineage, aiding non-technical users, and supporting BI tools like Power BI. Its SQL query publication tool and API integration enhance productivity, while features like metadata management boost data quality and governance.
What are the main features of Alation Data Catalog?In industries like finance and healthcare, Alation Data Catalog is a key resource for data governance and metadata management. Organizations utilize it to integrate diverse data sources, establish data lineage, and manage business domains, proving invaluable in platforms such as Power BI and Snowflake.
SAS Data Management provides data integration, governance, and robust reporting tools. It connects to diverse data sources, ensuring quality management and enabling data analysis for technical and non-technical users.
SAS Data Management features flexible data flow creation, scheduling, and ETL control. It enhances data integration and metadata management with tools that support data standardization. Users benefit from its importing and exporting capabilities, connecting to multiple sources. It facilitates improved data quality management and offers a flexible language for diverse needs. Data visualization capabilities further support decision-making across industries, automating reports and data warehouses.
What are the key features of SAS Data Management?SAS Data Management helps industries like finance integrate diverse data sources for analytics and reporting. It is used for tasks such as financial reporting, credit risk analysis, and data cleansing. Through user-driven automation, it aids in aligning data warehouses and generating insightful visual outputs, making it ideal for analyzing structured data from sources like Excel and CSV files.
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