Regarding my most common use cases for Collibra Data Intelligence Platform, I can describe them clearly.
The platform provides me with data cataloging features, which is really helpful.
Collibra Data Intelligence Platform
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Provides comprehensive features and benefits while allowing room for improvements
What is our primary use case?
How has it helped my organization?
I can confirm that using the Collibra Data Intelligence Platform provides time savings, money savings, and other benefits that I have experienced.
What is most valuable?
Collibra Data Intelligence Platform impressively provides AI features.
I have noticed it works within one ecosystem where each tool is collaborating effectively.
What needs improvement?
In terms of improvements, I would highlight a few points that could be enhanced in the Collibra Data Intelligence Platform.
How are customer service and support?
I am satisfied with the Collibra technical support team. If I ever contacted them, I might have had some issue or question for them.
If I had to rate them, I would definitely use a scale from one to ten to express my thoughts effectively.
I would give a 10 for the support team.
How would you rate customer service and support?
Positive
How was the initial setup?
I have some experience deploying the Collibra Data Intelligence Platform, and the initial setup and configuration for the needs take a specific timeframe.
I may not recall exactly how long it took for my company or my clients to deploy the Collibra Data Intelligence Platform, but I can provide an estimate.
It is impressive to see how fast it can be set up, typically within a few days or working days, which I can confirm is really fast.
What other advice do I have?
On our website, I did research on Data Governance tools, and I can share feedback on that type of tools.
I am representing PeerSpot, which is a review website, and I am collecting feedback on the tools to publish an article on our website.
For Data Governance tools, I have worked with Purview of Microsoft, though this was mainly for research and POC that I did for my clients.
I have been working with Collibra Data Intelligence Platform for a specific period.
On a scale of 1 to 10, I would rate Collibra Data Intelligence Platform a 10.
Workflows and data quality increase productivity with efficient automation
What is our primary use case?
I work with Collibra Data Intelligence Platform. I am experienced in both platforms, but more experienced with Collibra Data Intelligence Platform. I have experience creating workflows, harvesting technical lineage, and working with Data Governance along with data quality.
What is most valuable?
The workflows in Collibra Data Intelligence Platform are unique as no other Data Governance tool has this feature. The data quality functionality provides cutting-edge, next-level insights when compared to other tools such as Alation and Microsoft Purview. In governance, Collibra Data Intelligence Platform has an upper hand.
The mapping features in Collibra Data Intelligence Platform allow users to import and export Excel files. While importing Excel files, users can map to numerous assets. We can build relations using these imports and mappings, and obtain lineage information. Additionally, there is integration between Data Quality and the data intelligence platform, which enables another type of mapping.
The workflows in Collibra Data Intelligence Platform save substantial time by allowing us to create and assign tasks to business stewards and stakeholders. Instead of sending emails each day, we can create tasks that automatically generate notifications to streamline the process.
What needs improvement?
The main advantage of Purview is its integration with Microsoft solutions. Data can be harvested from any solution within Azure, data fabric, or other platforms easily with Purview. With Collibra Data Intelligence Platform, users need to create and establish connections, which requires entering connection details. This process is more time-consuming in Collibra Data Intelligence Platform compared to Purview, where everything can be done in minutes. Additionally, Purview includes data products, which Collibra Data Intelligence Platform is currently introducing. For stakeholders, data products are crucial.
For how long have I used the solution?
I have been using the solution for three years, precisely two years and ten months. This July it will be three years. I started as a fresher in Data Governance and have been working in this field since the beginning.
What do I think about the stability of the solution?
I have not experienced any downtime or stability issues until now.
How are customer service and support?
I have not had any experience working with AI governance-related API. I am satisfied with their support team. I encountered some issues with data quality initially in Collibra Data Intelligence Platform, and they resolved those issues. I also faced challenges with establishing data quality rules in DQC aggregation files, which were resolved by the support team.
How would you rate customer service and support?
Positive
How was the initial setup?
There were no blockers during setup. It was straightforward to create workflows and deploy them into Collibra Data Intelligence Platform by following the documentation.
What other advice do I have?
Data quality in Collibra Data Intelligence Platform involves six dimensions: accuracy, completeness, integrity, and timeliness. The platform's Data Quality encompasses all these aspects.
Task completion time depends on the specific tasks in Collibra Data Intelligence Platform. For example, an approval task typically takes less than one hour.
Collibra Data Intelligence Platform introduced AI governance approximately two years ago. It features assessments that work in conjunction with AI governance, where users answer questions created by stakeholders or Data Owners.
I rate this solution 8 out of 10.
integrating AI features ensures excellent customer service and efficient data handling
What is our primary use case?
I am an implementer working as an enterprise cloud and AI security architect. While working with BT clients from Accenture, they were using Collibra Governance on on-prem infrastructure and wanted to integrate it into Google Cloud Platform (GCP). We compared it with GCP's Data Catalog to determine which one was better.
What is most valuable?
One of the most impactful features of Collibra Governance is its cataloging of data. During my time with BT clients, we were able to efficiently catalog data on their on-prem infrastructure using Collibra Governance. The main feature of Collibra is the cataloging of data, which can be done effectively on any infrastructure. It can integrate with GCP's marketplace and maintain data consistency during cloud migrations.
What needs improvement?
There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better. Additionally, pricing can be an issue if Collibra's existing features do not meet specific business requirements, necessitating integration with other data catalogs.
For how long have I used the solution?
I have around 1 to 1.5 years of experience working with Collibra Governance.
What was my experience with deployment of the solution?
To implement the Collibra Data Catalog, it typically takes around a couple of days since it requires the involvement of multiple teams, such as the data team, architecture team, and application teams.
What do I think about the stability of the solution?
In terms of stability, I would rate Collibra Governance as a nine out of ten.
What do I think about the scalability of the solution?
In terms of scalability, I can rate it as an eight out of ten.
How are customer service and support?
The technical support from Collibra Governance is excellent, and I rate it as ten out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The initial setup of Collibra Governance depends on the environment. If the environment is small, it is simple, but if it is complex, the configuration will also be complicated.
What was our ROI?
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements. However, if additional integration is needed for specific use cases, it could become costlier.
What's my experience with pricing, setup cost, and licensing?
The pricing of Collibra Governance is moderate. It is neither extremely costly nor very cheap, as it depends on the use case and specific requirements.
Which other solutions did I evaluate?
We compared Collibra Data Catalog with GCP Data Catalog.
What other advice do I have?
Overall, I can rate Collibra Governance as an eight out of ten. I recommend using Collibra Governance for those who are on-premise to catalog their data efficiently. Collibra AI can be integrated with any generative AI in AWS or GCP. Despite leaving Wipro, I would like PeerSpot to publish my articles using my personal email until I'm back at work. I rate the overall solution an eight out of ten.
It enables data governance with customizable workflows and effective customer support
What is our primary use case?
I used Collibra Catalog primarily for cataloging all the assets. We created data dictionaries by ingesting data from multiple databases into Collibra Catalog and setting up workflows for review and approval processes.
What is most valuable?
The most valuable features of Collibra Catalog are its customizability and ease of use. We created data dictionaries both by ingesting our database structures and for non-database sources. We also set up different communities, defining ownership and stewardship with customizable workflows.
What needs improvement?
There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors. This can lead to manual efforts to connect more databases, increasing costs. It would be beneficial if they offered more connectors as part of the initial package.
For how long have I used the solution?
We used Collibra Catalog as long as we had Collibra, starting from when we began cataloging all our assets.
What do I think about the stability of the solution?
I did not have any issues with the stability of Collibra Catalog.
What do I think about the scalability of the solution?
Collibra Catalog is quite scalable. We were a big bank and had thousands of assets without any issues.
How are customer service and support?
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved. Without the program, the support was decent, with response times of 24-48 hours. Sometimes the support was useful, and sometimes it was not.
How would you rate customer service and support?
Neutral
Which solution did I use previously and why did I switch?
My company initially used Collibra, but after being acquired by BMO, which had a contract with Informatica, we had to switch. BMO had recently renewed their contract with Informatica, which led to letting go of Collibra.
How was the initial setup?
The initial setup was straightforward with the involvement of our IT team. It is important to have a Collibra Resident Architect for a successful implementation, which we found more effective than hiring external contractors.
What about the implementation team?
We used the Collibra Resident Architect program instead of hiring contractors. This was a cost-effective approach, and it was extremely beneficial to have a knowledgeable Collibra employee assist with setup and configuration.
What's my experience with pricing, setup cost, and licensing?
The pricing for Collibra was good since we did not have many add-ons. However, adding modules like Privacy could become expensive. The value is still greater when considering the cost of customizing other tools.
Which other solutions did I evaluate?
I have experience comparing Microsoft Purview and Data Hub alongside Collibra. Collibra is favored for governance, while Purview, integrated with Azure, is a better fit for engineers than business users.
What other advice do I have?
I would definitely recommend Collibra Catalog to others. Of all the catalogs I've used, Collibra stands out as being more of a full tool for governance. As long as Collibra can connect to your databases, it cannot be easily beaten. I rate the overall solution an 8 out of 10.
Collibra - Metadata Management Experience
What do you like best about the product?
Integration Capabilities: Collibra supports integration with modern database systems like Snowflake, Tableau and SQL Server, making it versatile for various data environments. We are focusing on maximizing its value to create a unified enterprise platform for the agency.
What do you dislike about the product?
Depending on the organization's size and needs, the pricing may be a consideration for some users. Also, minimum guidelines around edge installation on multi- cloud platforms.
What problems is the product solving and how is that benefiting you?
Create internal/operational efficiencies to eliminate data siloes
Great overall data cataloging tool
What do you like best about the product?
The search capability. It is so nice having the capability of global search and being able to find exactly what I’m looking for. It saves so much time.
What do you dislike about the product?
Data classification is not as sophisticated as I was led to believe. It appears to be column name and regex based. I thought it was more sophisticated and used AI to identify patterns, etc.
What problems is the product solving and how is that benefiting you?
We primarily use it to organize and classify all of our customer PII in support of our State Privacy (such as CCPA) programs.
Very intuitive product
What do you like best about the product?
Very intuitive and easy to be configured
What do you dislike about the product?
There are some missing but important functionalities without any reason
What problems is the product solving and how is that benefiting you?
Data documentation and lineage
Collibra in Practice: Governing Data at Scale
What do you like best about the product?
Centralized data governance: everything is consolidated in one place, which makes search, documentation, and traceability much easier.
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
What do you dislike about the product?
Apparent complexity in onboarding: significant improvements have been made with the new interface (the previous one was clearly outdated)
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
What problems is the product solving and how is that benefiting you?
I see Collibra as the enterprise-wide mega data catalog that brings together all glossaries and dictionaries, with clearly defined roles and responsibilities, and full integration of the data quality layer.
DQ Lead from an international corporation reviewing the Collibra DQ Rapid Start Experience
What do you like best about the product?
Scalability. Previously my organisation used stored procedures automatically triggered on a pipeline to analyse the DQ of data entering the data lake. This meant for every new rule we need to write a new stored procedure each time. Now I can create jobs with multiple rules (and use template rules) which is far quicker than before.
What do you dislike about the product?
The tool is quite buggy. I am not an infra expert but it seems every 2-4 weeks I have to engage premium support and my infra department to figure out why jobs are not running. Additionally I find when new releases happen there are often times bug fixed but also bug introduced, especially the most recent 2025.02 release.
What problems is the product solving and how is that benefiting you?
The DQ problem at my organisation was that we had no central system to use for DQ. There was no central process and all DQ activity was essentially reactive and ad hoc. However, now with Collibra this is not the case. We can proactively monitor DQ, have a central system where the datasets, rules and results are all in one place, I can provide access to different jobs and rules to different people.
The benefit to me is ease of use. As I mentioned we use to use stored procedures which required new stored procs being written for every new rule we wanted. Now I can do all of the above in one system which is scalable.
The benefit to me is ease of use. As I mentioned we use to use stored procedures which required new stored procs being written for every new rule we wanted. Now I can do all of the above in one system which is scalable.
Automated metadata management saves time and effort while ensuring high reliability
What is our primary use case?
We use Collibra Catalog for data catalogs, data classifications, and all aspects of data categorization. My focus is on metadata, particularly how easy it is to extract an application's metadata and integrate it into Collibra Catalog.
What is most valuable?
Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances. We connect Collibra to an application, enabling it to read and extract metadata, which is more efficient than manual processes. Additionally, Collibra Catalog is scalable and its servers have high uptime standards, making it reliable.
What needs improvement?
More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital. Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
For how long have I used the solution?
We have been using Collibra Catalog for more than a year.
What was my experience with deployment of the solution?
For Collibra Catalog, because it's a Software as a Service, it's easy. It takes no time to launch since it's just a subscription. However, configurations and customizing for business functions is where challenges arise.
What do I think about the stability of the solution?
There are no stability issues. The servers are very good, and the uptime standards are high, so it's always available, up and running.
What do I think about the scalability of the solution?
Collibra Catalog is scalable for our environment.
How are customer service and support?
I have contacted Collibra support, and I rate it an eight out of ten. The support is good but not fantastic.
How would you rate customer service and support?
Positive
How was the initial setup?
The setup technology-wise is very good. The problem lies in feeding the actual business data and ensuring it works as a process and workflow.
What's my experience with pricing, setup cost, and licensing?
Currently, the pricing is at an average market rate. However, there are plans to increase license rates. Overall, it is a reasonable and average rate.
What other advice do I have?
Users should focus on business-focused objectives and not go for large projects. Implement in iterations, prioritizing smaller items. I rate the overall solution eight out of ten.
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