Collibra Platform Reviews

It is mainly for documentation purposes, to document metadata in a data catalog, and also to improve understanding, access, and exploration of data.

I've been an external consultant, advising clients on IT solutions and helping them implement these solutions, including Collibra Governance. It's used strategically to find the correct tools for the clients and operationally to implement them.

The data quality module has improved significantly, and the data lineage feature is beneficial for understanding where data is coming from and identifying data duplications.

The platform can sometimes be unstable, particularly in terms of speed and reconnection issues. There's also potential for improvements in AI and AI governance, which I don't see clear use cases for yet.

I've used the solution for four years in total.

I would rate the stability as a seven out of ten. The platform can sometimes be unstable, with occasional hiccups or fallouts requiring reconnection.

I would rate the scalability as eight out of ten.

The technical support is quite good. I would rate it as eight out of ten.

We are also familiar with Purview. We don't see Collibra so much in small companies as they have a big initial cost compared to other tools like Microsoft's Purview, where you pay less initially.

For those with IT experience, it's straightforward. For those without data experience, it can be more difficult, though this is common with many tools.

The price is quite high. Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.

I would recommend Collibra Governance depending on the needs of the company. It's a very good tool but probably not suitable for all companies.

I'd rate the solution nine out of ten.

Public Cloud

I use the Collibra Lineage visualization features. The solution helps me understand data flows effectively. Collibra Lineage impacts my data analysis by helping to identify where data is used, making it significantly useful. The solution facilitates compliance by defining where sensitive data is located, helping to trace sensitive data.

One of the best features of Collibra Lineage is that it provides an end-to-end perspective of where data is used in the enterprise.

The positive benefit from using Collibra Lineage is that it provides an end-to-end perspective of data usage in the organization.

There is room for improvement in Collibra Lineage as it could incorporate automation features which would allow it to find data lineage across a data stack independently.

I have been working with Collibra Lineage for approximately four or five years.

I don't have much experience with Collibra Lineage, so I cannot comment on whether it is straightforward in terms of installation or if there are challenges when implementing.

I personally don't participate in the installation of Collibra Lineage.

Collibra Lineage is a stable solution.

Collibra Lineage is scalable.

I did not communicate with their support for Collibra Lineage, so I would not know if they were helpful or responsive.

Neutral

When it comes to implementing Collibra Lineage, three or four engineers are involved.

Using Collibra Lineage is beneficial in terms of finance.

The metrics I track to measure efficiency improvement after using Collibra Lineage include integration and analytics. The time spent to identify data usage is reduced significantly.

Because I have not used Collibra Lineage extensively, I will not comment on future updates, improvements, or features I would like to see, such as more customization, more AI features, a refreshed interface, or a lower price. I rate Collibra Lineage 8 out of 10.

On-premises

Other

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.

I can confirm that using the Collibra Data Intelligence Platform provides time savings, money savings, and other benefits that I have experienced.

Collibra Data Intelligence Platform impressively provides AI features.

I have noticed it works within one ecosystem where each tool is collaborating effectively.

In terms of improvements, I would highlight a few points that could be enhanced in the Collibra Data Intelligence Platform.

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.

Positive

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.

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.

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.

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.

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.

We have been using Collibra Catalog for more than a year.

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.

There are no stability issues. The servers are very good, and the uptime standards are high, so it's always available, up and running.

Collibra Catalog is scalable for our environment.

I have contacted Collibra support, and I rate it an eight out of ten. The support is good but not fantastic.

Positive

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.

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.

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.

Public Cloud

Other

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.

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.

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.

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.

I have not experienced any downtime or stability issues until now.

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.

Positive

There were no blockers during setup. It was straightforward to create workflows and deploy them into Collibra Data Intelligence Platform by following the documentation.

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.

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.

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.

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.

I have around 1 to 1.5 years of experience working with Collibra Governance.

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.

In terms of stability, I would rate Collibra Governance as a nine out of ten.

In terms of scalability, I can rate it as an eight out of ten.

The technical support from Collibra Governance is excellent, and I rate it as ten out of ten.

Positive

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.

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.

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.

We compared Collibra Data Catalog with GCP Data Catalog.

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.

On-premises

We created custom data models in Collibra Lineage for domains and communities. Under each domain, we created databases and linked data dictionaries. We set up workflows by linking controls, which were attested by control owners quarterly. All of this was automated.

The solution allowed us to quickly and efficiently implement our data governance operating model, including accountabilities, regulatory lineage, and data dictionaries. This was much faster and more efficient than manual methods or other tools like Informatica. I prefer Collibra Lineage for its self-service capabilities.

I created a use case and gave users access to data stores, allowing them to implement their data sets easily. In contrast, Informatica requires a dedicated team of IT experts to handle these tasks.

The solution's APIs can be seamlessly connected to anything. 

It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package covers lineage and documentation, but the extra modules come at an extra cost.

I have been using the product for one and a half years. 

I never had any issues with the tool's stability. 

I rate the solution's scalability a nine out of ten. 

The solution's support is good. They would come to us whenever we had any issues. 

Positive

The main differences between Collibra Lineage and Informatica are significant, particularly for small to mid-sized organizations. First, Informatica requires a dedicated team, which incurs a huge cost, making it less suitable for smaller organizations. Second, Informatica's tools are very scattered. For instance, to create a domain, you need to use Axon, and then for lineage, you must use EDC. For profiling, Informatica Developer or Analyst is required. These different tools are not well-connected to display everything on one screen. While Informatica is trying to improve with its cloud version, not many users have adopted it yet. These are the two main areas where Informatica lags.

The initial setup was straightforward. Collibra Lineage engineers helped with the setup by getting on calls with our IT team. I also benefited from its resident architect program, which provided a dedicated employee to assist with creating workflows. This was more efficient and cost-effective than hiring an external IT person.

For deploying Collibra Lineage, we needed four people: myself as the lead, one IT resource for backups, the Collibra Lineage resident architect, and one person for uploading data. The process took three to four months to complete. It doesn't require much maintenance. The solution provided a dedicated person for our account who informed us of updates. Our IT guy would then handle the update easily.

We had Collibra Lineage at Bank of the West, which was acquired by BMO Bank. BMO already used Informatica, so we had to switch from Collibra Lineage to Informatica. The tool's team was very supportive during the transition. In the future, if we have a chance, we'll choose Collibra Lineage again.

I rate the overall product a nine out of ten. 

Collibra Platform serves as the central place to document, govern, and understand our data assets.

I use Collibra Platform in my day-to-day work to build out a business glossary and the data catalog to describe our key data assets.

The Data Catalog feature stands out most to me because it is organized, faster, and there are good integrations with other tools.

Collibra Platform has positively impacted my organization as we save a lot of time. We have saved up to 30% of manual work as a specific process or workflow became faster.

Collibra Platform can be improved by adding more connectors to the ecosystems.

I have been using Collibra Platform for two years.

Collibra Platform is stable.

I have seen a return on investment, with relevant metrics being time saved.

We achieved 30% of time saved, and the platform is easy to use.

My advice to others looking into using Collibra Platform is to use it in cloud because that is the best solution.

I give this review a rating of 10 out of 10.

Private Cloud

Amazon Web Services (AWS)

The use case for Collibra Catalog is for metadata management.

The best features in Collibra Catalog are apparent when we do the integration and establish when we fetch the data into Collibra. We have an option to store everything into a particular domain under which all the data can reside. This feature stands out because when I worked with Alation and Microsoft Purview, they did not have these capabilities.

Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation.

The business glossary feature in Collibra Catalog contributes to consistent data terminology across my teams because it is easy to use. If you want to search any business term or business-related assets, you can go to the glossary and search for it directly. Instead of using global search, you can navigate directly to the glossary and find the asset more easily.

Collibra Catalog has improved my organization through data cataloging as we were able to find assets more easily. It was organized in a structured way so that everybody can understand where the assets reside and how to navigate them.

I have utilized the sophisticated search capability in Collibra Catalog, and it can be improved by implementing more natural language search capabilities. Currently, we need to enter the asset names or domain names as it checks for exact matches. If we could enter natural language search queries, it should fetch the relevant details.

In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names.

I have been using Collibra Catalog for 3 years.

I would rate the stability of Collibra Catalog as seven.

For scalability, I would rate Collibra Catalog as eight.

I would rate support for Collibra Catalog a seven. There are some documentation materials which we were unable to understand clearly. More clear documentation on the Catalog site would be beneficial.

Neutral

When comparing Collibra Catalog to other vendors' products in the market, I noticed that Alation has more features. In Alation, we have natural language search along with several filters which can be applied on the search itself. These features are not present in Collibra Catalog.

The deployment for Collibra Catalog took about 10 to 20 minutes to complete.

I haven't worked on GDPR and CCPA regulations, so I am not sure about their implementation.

The same number of users continue to work with Collibra Catalog.

I would recommend Collibra Catalog to other users if they implement changes such as natural text search. There are some small bugs that need fixing, but I would still recommend it. If they improve these aspects, it will be more beneficial for everyone.

I rate Collibra Catalog an eight out of ten.

Public Cloud

Other

My domain is master data management. In master data management, basic data quality, lineages, rule profilings, and similar processes come under Collibra profiling. I use it for these purposes.

I find the rule modification and the replication of the rules in Collibra happens very quickly. This is one of the aspects I appreciate the most. Additionally, the data lineage and catalog features have improved significantly over the years. While they were not perfect three years ago, they are much more mature now and continue to grow each year.

The domain-based approach could be more helpful for aspects such as customer 360 and product 360. Moving towards this could create significant value.

I have been working with Collibra for approximately four years.

I would rate the stability as eight out of ten.

I rate scalability a six out of ten. There is some room for improvement in terms of scalability.

I rate the technical support from Collibra as nine out of ten.

Positive

The setup is very simple.

The price is average, and it provides good value for the money.

The main competitors on the market that I consider are SAP and Informatica.

Overall, I would rate Collibra Governance as a seven out of ten. I can recommend it to other users for sure.

Public Cloud

Other