"The catalog feature is definitely valuable because it makes ingesting the metadata of any application quite simple. You don't have to do things manually. You can just schedule an import, and it will just refresh the metadata of whatever application you want. That's what I like. I usually work on the technical side, and other than that, I usually create integrations. I integrate Collibra with different environments or applications. I'm a developer, so I cannot vouch for the business, but for me, it is quite developer-friendly with the Java API interface and the REST API interface that they have provided. It is good for creating dashboards based on the needs of each and every role. It can be user-specific or group-specific. We usually create dashboards and give them to our business users, and they are quite happy with that."
"The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes."
"Collibra is very good at talking to modern database systems like a normal RDBMS, a DB2, or a SQL server or an Oracle."
"Provides a good view of the data and how it's being utilized, as well as calibration quality."
"I like the lineage feature the most because I don't think there's any other tool that actually depicts the data flow from multiple sources and the connectivities between every data element inside those sources."
"There is a good community setup around the solution that can provide insights."
"In terms of data governance, as I mentioned, it can be a one-stop solution for all of your data governance needs."
"The automation process is very strong."
"The product offers very good flexibility."
"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."
"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."
"The tool is reliable, quick, and powerful."
"The technical support is excellent."
"This solution could be improved with the the addition of process diagrams to help the many users of the platform understand all the fields."
"One problem is the data lineage, especially extracting the ETL transformation from different ETL tools and identifying how the data is getting changed from one layer to different layers and how the transformation is applied. It doesn't support all the ETL tools for extracting the transformation logic. It supports some of the tools, but there are still some tools that need to be supported. There is also a small pain point in terms of integration. There is a little bit of change in their strategy from Collibra's end. Earlier, they used to offer two solutions. One was out of the box, and one was a custom-built solution for which they used to provide a dual connector. Now the focus from the Collibra side is more on using the out of the box connector. They are discouraging doing the custom integration. That leaves us with two problems. The first problem is that the out-of-the-box connecter is not yet enabled for a lot of systems, and the second problem is that the out-of-the-box connecter has certain limitations. If we want to tweak those as per our needs, it is not possible. However, the custom-built is still supported, and you can still build a custom integration by using the API, but it is not very encouraged by Collibra. Its dashboard also needs to be improved. There are options to use the HTML code to customize your dashboard, but it has a lot of limitations."
"When we are doing discovery for unstructured data sources, I would suggest a quality report of the data that would indicate what was unable to process."
"Every time you change or publish a new questionnaire for certification, you have to basically go into the code and update the new version of the questionnaire."
"What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on."
"Occasionally we get little bugs that occur, however, this is typical."
"If someone changes the metadata, we can't see who changed it."
"Recently, I find that the default process of issue management in Collibra is really complex — It wasn't really helpful to us."
"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."
"The solution could use better documentation."
"We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."
"The solution is quite expensive and hard to install/configure."
"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."
Collibra Data Governance Center is an enterprise-wide data governance solution that puts people and processes first, automating data governance and management to quickly and securely deliver trusted data to the business users who need it.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
Collibra Governance is ranked 1st in Data Governance with 23 reviews while SAS Data Management is ranked 5th in Data Governance with 5 reviews. Collibra Governance is rated 7.8, while SAS Data Management is rated 7.8. The top reviewer of Collibra Governance writes "Offers many features for the best relative price". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". Collibra Governance is most compared with Microsoft Purview, Informatica Axon, Alation Data Catalog, BigID and SAP Data Hub, whereas SAS Data Management is most compared with Informatica PowerCenter, Informatica Axon, Microsoft Purview, SAP Data Services and Informatica Enterprise Data Catalog. See our Collibra Governance vs. SAS Data Management report.
See our list of best Data Governance vendors.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.