

Alation Data Catalog and Collibra Platform both compete in the realm of data management solutions, each bringing unique strengths. Based on the comparison, Alation seems to have the upper hand due to its intuitive user empowerment and agility in active data governance.
Features: Alation Data Catalog is noted for its data discovery capabilities, collaboration through SQL query sharing, and a comprehensive business glossary. Additionally, its adaptive governance and integration across various platforms are standout features. Collibra Platform excels in metadata management, offers intricate data lineage capabilities, and provides robust workflow automation, which positions it as a formidable tool in governance.
Room for Improvement: Alation needs to focus on developing its end-to-end data lineage, improve BI integration, and enhance search functionalities. It currently lacks a built-in data quality solution. On the other hand, Collibra requires a simplified user interface, more AI-based automation, and enhanced connectors to various data sources. Improving its integration with legacy systems is also necessary.
Ease of Deployment and Customer Service: Both Alation and Collibra support various deployment environments like public, private, hybrid clouds, and on-premises, ensuring flexibility. Alation users generally find technical support responsive but note occasional delays, especially with complex issues. Collibra’s support has improved over time, though setup can be complex and present some challenges.
Pricing and ROI: Alation Data Catalog is considered moderately expensive but offers potential ROI through data consolidation and negotiation opportunities. Collibra Platform justifies its higher costs through its extensive features and operates on a subscription model. Despite its cost, it appeals to large enterprises with separate pricing for advanced features and reports efficiency gains in governance and auditing.
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.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
While there are no direct cost reductions, there is significant indirect cost reduction.
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
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
The technical support from Collibra Governance is excellent.
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.
We were a big bank and had thousands of assets without any issues.
Collibra Lineage's performance is reliable, as the lineage harvest runs on the lineage server which operates on Collibra cloud.
I would rate the scalability of Collibra Lineage as a nine; it is a scalable solution for my business.
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.
Collibra Platform is stable.
I rate the stability of Collibra Lineage as seven.
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.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
There should be a reduction in cost as compared to other tools.
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.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
There are plans to increase license rates.
Adding modules like Privacy could become expensive.
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.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
We have saved up to 30% of manual work as a specific process or workflow became faster.
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
| Product | Mindshare (%) |
|---|---|
| Collibra Platform | 7.6% |
| Alation Data Catalog | 3.6% |
| Other | 88.8% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 12 |
| Large Enterprise | 57 |
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.
Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.
Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.
What are Collibra Platform's key features?
What benefits should be sought in reviews?
In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.
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