Collibra Platform Reviews

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.

The primary use case for Collibra Catalog in my organization is for documenting all the metadata that we have in the company. Apart from that, I am also focusing on many different layers on it, including data lineage, data quality, business glossaries, and access management workflow.

In the company that I'm working for, there are lots of different analytical groups, so it is going to save much more time for IT people.. Previously, when I was working at a more business-oriented company, our primary audience was the business people. This demonstrates that the improvements depend on the different organization structures and how you're defining your data governance goal and vision.

Except for data quality, everything is perfect. Once you have your data systems integrated with the Collibra platform, and when you set up the frequency of refreshing the metadata from that data system, it happens automatically. It is based on how you define that data refresh.

If the price is a bit reduced, that would be better. Improving the data quality landscape much better in the platform would be beneficial because the data quality landscape hasn't matured to function well compared to other competitors.

I've been working in Collibra for close to two years.

From one to ten, I would rate the stability of the solution as eigh out of ten.

I would rate the scalability of the solution as eight out of ten, which indicates no issues with scalability.

I would rate the technical support from Collibra as seven because to work in the Collibra platform, especially if you are going to do it in your own cloud services, they ask for specific consultants to work in our company. So it's not entirely independent for us to work on it when it comes to the IT landscape.

Neutral

I worked in Alation and Informatica before, and I moved to Collibra right now. Informatica is a fully mature data management platform, which provides different landscapes like master data management, data governance, and data quality, wherein Collibra provides only data catalog or governance. I prefer Informatica since it is a completely mature platform in terms of data management aspects.

The setup is simple. It depends on in which platform you're going to deploy it, whether in the cloud or on premise, and if in the cloud, whether it's your company's cloud or Collibra's cloud.

They wanted us to collaborate only with the specific consulting providers to work on the Collibra platform, especially when it is in our own cloud services.

A suggestion for Collibra would be to improve collaboration with many different other technologies, as that would make it a frontrunner in the data catalog service provider space. It would be beneficial for Collibra to integrate with business intelligence tools and show us good data lineage mapping.

I'd rate the solution eight out of ten.

Collibra Governance is used to maintain and govern our company's data and evaluate the data quality. 

Collibra Governance allows users to scan the data in the Schema and check its quality. Our organization's business customers add their company data to Collibra Governance and use data visibility to evaluate how the data can be increased or utilized for some business decisions.

For example, if you have ten columns in one table and assume one column has a couple of null values, Collibra Governance will identify and show you the number of null values present. The identified columns can be further manually checked and altered to enhance the total data quality. 

The solution's search functionality can be improved. For instance, if I search with one piece of data, the tool provides a granular level of data and sometimes billions of data results, among which it's extremely difficult to find a relation. Instead of the aforementioned type of results, the solution can provide a hierarchy based on levels that reveal data upon click. 

I have been using Collibra Governance for three months. 

I would rate the stability a nine out of ten. The product is highly stable. 

I would rate the scalability an eight out of ten. It's a satisfying data quality evaluation tool. 

I would rate the tech support an eight out of ten. The response time from the support team can be further improved. But an immediate response cannot be expected for Collibra Governance because it's not a critical product with urgent use cases.

Whenever, our company has faced issues or bugs while implementing an update of Collibra Governance, an extensive wait time has been encountered. The response time from the support team can be improved based on the issues faced or in an ad hoc format. 

Positive

For the initial setup of Collibra Governance, the vendor's product team assists our company. At our company, we deploy Collibra Governance on the cloud. 

Collibra Governance is extremely expensive. The solution is provided as a whole package, and users cannot avail of only a particular set of features; the whole package must be purchased even if it's not required. 

Collibra Governance will face competition once a data governance tool hits the market that provides basic features at the ideal cost. The pricing model of Collibra Governance should be more flexible for clients.  

At our company, we have used the data catalog feature. Collibra Governance is the top data governance tool in the market. AI capabilities are already being introduced in Collibra Governance. The data lineage feature is also used in our company for data harvesting.

Based on the business requirements, we customize the solution if needed. I would rate the solution an eight out of ten. I would recommend Collibra Governance to others. 

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. 

Positive

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.

Catalog is primarily used for metadata cataloging and enriching it with additional information, such as adding business terms. Then, if lineage support is available in the tool, we can link business terms to technical terms. 

Additionally, we can store sample data. If there's a client requirement, we can link physical metadata with reports or datasets. This allows users who need access to a particular dataset to obtain it by creating a dataset from the Catalog metadata.

For data discovery, we create datasets. The most frequently used datasets are featured on the dashboard. Users can create their own if their requirements aren't met by the most frequently used datasets. We also create data requests, and owners can approve these requests, which adds a process layer to accessing particular datasets.

So, it has been effective for data discovery in our company. 

I use different functionalities within the tool. I use Collibra Catalog for metadata management or Collibra Lineage for data governance.

Once configured, data in the Catalog will be automatically updated, reducing the need for manual maintenance. So, the automation feature has positively impacted our data management tasks.

The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations.

Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives. It's very important for identifying impacted reports during updates, making it crucial for decision-making due to its ability to link business and technical terms.

I'd like to see more integration with other reporting sources like Qlik Sense, beyond the currently supported ones like Tableau and Power BI.

I have been using it since 2019. It has been a long time. 

Collibra updates the job server every quarter, so it's a stable solution that requires quarterly updates.

I would rate the stability a nine out of ten because it's quite good.

It's scalable. We create different configurations for each data source to minimize latency and ensure efficient data governance. This decentralized approach makes it highly scalable.

I would rate it a nine out of ten because it's quite good. It supports multiple authentication methods, not just username and password. It supports mechanisms like Windows authentication or any other supported source, so there's no issue.

We make it available to everyone in the company. Moreover, most users are on the client side during implementation.

The customer service and support have improved, and Collibra provides very good solutions now. They have a knowledge base that can answer our queries, suggesting solutions before we need to contact support.

The setup is quite easy and takes about 30 minutes to an hour if you have everything you need. Configuration isn't very difficult.

Deployment involves creating a job server in the client-hosted environment and configuring it to connect to all data tools, like MySQL, Oracle, or SQL Server. Then, we establish a connection between the job server and Collibra. 

Data governance instances and the job server send requests to the actual data sources. Metadata gathered from the sources is passed to Collibra through this setup.

We're moving towards cloud solutions, so Collibra Data Intelligence is on the cloud. Collibra Edge can be server-based, but the job server can also be on-premises. It supports both setups, but the direction is towards cloud-only solutions.

One person can maintain the solution, and we need one service account for it.

Collibra offers a per-user licensing model.

Overall, I would rate the solution an eight out of ten because we can connect to multiple sources or create custom connectors, making it a good solution.

I highly recommend it.

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.