Collibra Platform Reviews

There are different use cases, including integration with other applications, setting up operating models for specific business domains, such as finance or manufacturing, defining domain structures, and implementing data quality rules and scorecards. The specific use cases can vary from client to client, but they generally involve leveraging Collibra's capabilities to establish a strong governance framework and improve data management across the organization.

I appreciate its user-friendly interface. It facilitates explaining and handing over the data between the teams. It enables a linear view of the data assets across different levels, providing a comprehensive understanding. While other tools may offer similar features, Collibra Governance stands out for its integration capabilities, particularly with platforms like Google Cloud. It is also well-regarded for its modern and cloud-based approach, which aligns with the needs of clients that utilize multiple cloud solutions.

There are certain limitations and difficulties regarding the migration of complex data quality rules, as the tool may struggle with lengthy calculations and longer loading times. Our clients reported that they have experienced runtime errors in those scenarios, Also, setting up the tool and seeing real results can take a significant amount of time and manual effort. Many clients struggle to find experienced consultants due to the tool's extensive features, and this shortage impacts the deployment process and overall value realization. The pricing structure is significantly expensive and not affordable for all the clients. I would suggest that Collibra consider offering a lighter version of the tool for small companies. Currently, the main focus of their strategy lies in targeting medium and large enterprises.

I have been using this solution for a year now.

It provides good stability. We didn't have many complaints about it. There have been some challenges with complex rules, particularly about data quality.

It offers good scalability that is suitable for medium to large companies.

They provide excellent support, and there is positive feedback in the market regarding their support services. The collaboration between Collibra Governance and their clients fosters mutual learning and improvement. 

I previously used other solutions, like Azure and Informatica, but Collibra Governance offers the best experience regarding the user-friendly nature of the interface. While the other tools have their strengths, Collibra stands out for its compatibility features. It is a competitive solution that offers a variety of comprehensive capabilities.

Configuring is relatively easy with the right training and materials, which is essential for users to understand and utilize the tool effectively. The complexity of the configuration itself depends on the scope of the project, with smaller use cases typically taking one to two months. For larger projects, a team of three to four people, including a developer, engineer, and governance specialist, may be required for deployment. The maintenance is straightforward. Overall, it is a user-friendly tool for administrators.

Generally, it is a rather expensive solution compared to some other tools in the market, but I found it to be fair-priced for its capabilities. The cost barrier often causes potential clients, especially small companies, to opt for other choices. I saw many clients coming back to Collibra after realizing that other tools have significant limitations. The cost factor also varies depending on the size of the company, as larger organizations have a bigger capital to invest in multiple tools.

I recommend considering it, as it provides valuable features. It may be advisable to evaluate and assess the requirements and preferences of the client before making a final decision. I would rate the solution eight out of ten.

The product’s primary use case is metadata management. It helps us capture different datasets, including images, glossaries, etc.

Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data. However, it takes a lot of manual effort for the same. They could introduce more features to align the process.

A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources such as MongoDB and others. It is a time-consuming process for the engineering team to set up custom connectors. Thus, they could provide a wide range of connectors to address this issue.

We have been using Collibra Catalog for three or four years.

I rate the product’s stability an eight out of ten.

We encounter complexities in scaling the platform. It requires a lot of manual effort. At present, we only have 60 to 70 users in our organization. Our objective is to implement it for around 2000 users per month.

I rate the scalability a six out of ten.

I haven’t interacted directly with the technical support team. From the higher-level perspective, there have been interactions regarding our requirements, although the turnaround time for addressing the issues needs improvement.

The initial setup is complicated in terms of accessibility for enterprise users. Determining the optimal number of licenses for an enterprise proved to be a complex task, adding a layer of complexity to the implementation. For governance, they should include customized workflows.

The product is highly priced compared to other vendors. It becomes a challenge as we have to incur additional costs for widespread connectors that are unavailable in the product. It takes a good amount of time and effort to build custom connectors as well. There could be better integration with other systems instead.

I recommend Collibra Catalog to others and rate it a seven out of ten.

Collibra is for the classification of data. Collibra is being sourced to all the intakes for the company, which might be legacy systems or new systems or might be lineage as well. Collibra takes up and does its own governance over there, and the data is fed into Ataccama. Ataccama and Collibra seem to be cascaded, but Collibra is the first player. But that doesn't mean it saves a lot for Ataccama.

The solution's most valuable features are its scalability and how it can be integrated to any other intakes.

Collibra gives a lot of facilities in the cloud, but achieving those facilities on-prem becomes a big challenge. Collibra should loosen up those areas there and try to give stakes for that. The uses can vary. They can be limited to a small amount, or they can be a huge chunk. If Collibra thinks the utilization should be controlled and monitored by them on a cloud level, making for highly scalable data, it's good for them. But when the customer needs it, Collibra will be in the minute volume, in which case they will go for the on-premise service. That's what I feel Collibra lacks because some things cannot be integrated for on-premise customers.

I've used this solution for two years.

Overall, Collibra is a stable tool. Because of the scalability, the volumes are big, and you must have patience. That's where Collibra gets conflicted. There is highly scalable data with big databases connected. You'll need patience to wait for the batch lists to be completed. Calibra is slow but stable.

Collibra is highly scalable. Since Collibra works with Ataccama, 60 to 70 people use this solution.

The initial setup is exhaustive, but I cannot say that it's difficult or easy.

Collibra is a bit expensive.

I recommend Collibra only when customers have a very sparse intake. Such as if they have primitive lineages and data sources that they cannot make obsolete or remove. Suppose they have varieties of intakes. In that case, I definitely would ask customers to go for Collibra. That's not because an intake can be integrated into Collibra. The profitability is that Collibra is integrated at the output end. The team is working on visualization. The service team is very preemptive and efficient. Collibra will give you a good scoop. If a company is vast enough and has various intakes, databases, and sources, Collibra is good for them.

I rate Collibra a seven out of ten. Depending on the client, the rating may vary. If someone has told you that they have various sparse intakes and need to govern their data, Collibra will be a nine out of ten. But for a company with a limited intake, I would say that Collibra would be a load for them on the price side.

I am using Collibra at one of my clients. We implemented Collibra there as well.

When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. 

It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. 

The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.

Collibra is working on making the latest version more user-intuitive. The previous versions were easier for technical resources to use, however, not so much for business people who are not tech-savvy. If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users.

I have done implementations of Collibra for three to four years now.

Performance-wise, Collibra is better than other catalogs in the market. It is quite stable.

Collibra is pretty robust and scalable, given the way they have developed their product and the connectors they have established. People can easily add resources to it.

Their support team is good. However, it depends on which tier you are in and what kind of support you have, which is related to your licensing. Enterprise-grade customers get good customer support.

Positive

Pricing is definitely one of the costliest in the data catalog market. It competes with the likes of Informatica in terms of price. It is best suited for established Fortune 500 companies.

I would give Collibra a nine out of ten. For bigger organizations, it is worth the money as a tool. However, smaller organizations can get value out of some other tool, and for them, Collibra may not be the best choice.

Collibra Governance is used as a data governance tool to manage your business metadata and technical metadata from various systems. Customers also use the tool to provide a data cataloging option, create a data lineage, and automate some of the business processes.

The solution's most valuable feature is data cataloging. The solution's data cataloging feature is mainly used for data discovery. Nowadays, data cataloging enables the data marketplace to share data within enterprises. That's another enablement that Collibra Governance does.

When you have a huge amount of hierarchical data to manage, the solution's performance tends to decrease.

I have been using Collibra Governance for six to seven years.

Sometimes, when we face an issue, we resolve it by ourselves. On other occasions, we contact the solution's technical support team. I wouldn't say that the technical support is excellent. The support team struggles to resolve the issues 60% of the time. However, they are able to resolve issues the remaining 40% of the time.

Neutral

Many of our customers I spoke to felt that the solution is a bit highly-priced.

I sometimes recommend Collibra Governance to our customers based on their requirements and environment. Most customers look forward to having a data lineage function, but I haven't seen any tool that satisfies the customer requirements, including Collibra Governance.

The solution has primarily enabled some of the compliance reporting through data lineage reporting. When you have data cataloging with complete metadata enrichment and identification of PII and non-PII, it helps customers control and manage them properly.

If a customer does not have the appetite to procure Collibra Governance because of the pricing models, we may recommend a different product with cheaper prices. Collibra is working on building a new product for AI governance. I want to see how Collibra's data governance and AI governance will relate to each other.

Most of the customers we deal with are looking for a tool to resolve the data lineage challenge. However, none of the products in the market seem to be resolving the customers' data lineage issues. Vendors like Collibra, Alation, and Informatica could work on it and provide a more comprehensible solution to the customer.

Overall, I rate the solution an eight out of ten.

We use the solution's Data Stewardship part. We tried to explore the policy management piece, but we were unable to get through it. We haven't worked excessively on that. It was just some POCs or MVPs, but this is something that we would like to explore in the future. This is something that will be our future requirement in six to seven months down the line.

We use the solution's Data Stewardship part.

We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking.

I have been using Collibra Governance for two years.

I rate the solution's initial setup as medium because it's not very difficult. We have to look at a few nuances from the infrastructure and performance perspectives. We have to consider whether we would have the leverage capabilities for that. So, all these things need to be considered from the engineering side.

Collibra Governance is an expensive solution.

Our current focus is more on the solution's stewardship, cataloging, and reference data features. The one feature of Collibra Governance we would like to explore is the automated tagging of PII data. We do deal with such kinds of data within our organization. It would be helpful if there were any videos available for us to go through because this is something that will help us in the near future.

We are not extensively using the solution's data lineage functionality because we are simply building over it. The only challenge for us is from the connective side. We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking.

The major Broadlock would be the integration piece. If that is done, we'll be able to have all our data in the Collibra. The data lineage functionality is a really good feature, and we would really love to leverage it. The challenge is that the connectors are not available in the pipeline.

Collibra Governance is deployed on the cloud in our organization.

Overall, I rate the solution a seven out of ten.

We use the product for classification based on the different regulations and compliance requirements.

The platform is customizable. In comparison, Informatica Axon has predefined facets. Meanwhile, Collibra lets us create custom assets. It helps us build a powerful workflow mechanism where there can be any stewardship, including issue management governing assets using policies, regulations, or business rules. They are integrated very well. It has a lot of connectors with different source systems and efficient cataloging features.

There could be more integration similar to Snowflake, for instance. They do support integration, but complete lineage is not possible. Certain implementations, including lineage maps, could be user-friendly. At the moment, there needs to be more lineage between data sources. It needs improvements in terms of attribute connectivity during data transformation.

We have been using Collibra Governance for seven or eight years.

It is a stable platform.

Collibra Governance is suitable for enterprise businesses. It is a SaaS product. Thus, the end users don’t have to maintain scalability or maintenance.

The technical support team is responsive.

Positive

I have worked with Informatica Axon and Data Catalog. In comparison, Collibra has better workflow management features. I recommend it for technical usage as well. However, Axon is more user-friendly for creating lineage diagrams. It has ready-to-use templates for deployment.

The initial setup process is complicated. However, once you get good training and understanding of the system, it is very straightforward. Some of the configurations require support. It takes around a week or two to complete all the configuration for the existing ecosystem.

For Informatica, we have to buy cataloging and governance separately. Meanwhile, Collibra offers one structure for both. We purchase its annual license. There is an extra cost for additional users.

I rate Collibra Governance an eight out of ten.

I use Collibra Catalog for cataloging various reports, data elements, and tables, along with schema, associated with all the various attributes of the element itself, like business rules and sensitive data.

The most valuable features of the solution are the ability to PnP with all the various DBs in the background and to ensure that the Tableau is updated and any changes are visual while notifying about the integration to various business rules, data rules, data quality rules, and systems.

The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use.

I have experience with Collibra Catalog. I am an end-user of the tool. My company is a customer of the product.

Stability-wise, I rate the solution a seven out of ten.

Scalability-wise, it is a good solution. I rate the solution's scalability a seven and a half or eight out of ten.

Collibra Catalog is continuously being used in our company in as many ways as we can incorporate from various partners on the data elements and data landscaping, so we are slowly building it out.

Though unsure, I feel that the initial setup of Collibra Catalog is pretty complex over the system.

I think Collibra Catalog is one of the better products out there. The ability to PnP in the back-end and get all the updates is amazing in the solution. Collibra has its own rules engines and has incorporated other rules engines as well.

Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams.

I rate the overall product an eight out of ten.