


Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance.
Legally, financially, and reputationally, addressing these data quality issues was crucial, and implementing Ataccama was a major step for them.
Money got saved and time got saved because previously, data quality was addressed through SQL and Python.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
Leadership prefers to utilize third-party tools, such as Snowflake, which has both storage and ELT features.
The stability and performance remain issues.
Compared to Collibra Catalog, where the value is noticeable within six months.
MetLife worked with senior developers who made a positive impact on our experience.
We can raise a ticket using Jira, and they address it as soon as possible based on priority.
If it is a small issue, they tend to respond very quickly and they try to answer the question.
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
They provide quick and high-quality responses.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
Even after going out of service support, they still reached back to me whenever I raised tickets.
We expect more responsive assistance because they have the expertise since Informatica is their tool, but I don't see enough expertise on the Informatica support side.
As the volume increases, the performance of Ataccama ONE Platform decreases.
Ataccama ONE Platform's scalability is high, supporting large volumes of data and complex logic with flexible deployment options.
There was a concern with the architectural team about how much processing Ataccama ONE would need as usage scaled up.
We were a big bank and had thousands of assets without any issues.
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
I have used the product over multiple systems and was able to write reports for large data sets without any performance issues.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
There are many options available, and the licensing model is quite good, supporting our needs effectively.
The updates were worth implementing, with no significant problems observed.
We are still developing the application, so there have not been many crashes or instabilities.
Ataccama ONE Platform is stable.
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
It does not lag, and it can handle large volumes of data in less time.
Collibra Platform is stable.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
There are substantial stability issues with Informatica Cloud Data Quality on the cloud.
I find the stability to be good, with occasional restarts required every two to three months due to glitches.
The documentation part can be improved because documentation is key for any organization or tool.
It would be beneficial if these interactions could be more plug-and-play and less code-intensive, making them more efficient and easier to set up.
After every change and every match and merge rule you apply, you need to reprocess the entire record, which has to again go through the match and merge rules.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
The current solution requires code-writing and tweaking, while other solutions offer material-level matches.
What made the costing a problem with Ataccama ONE Platform is related to licensing, as it is every one year.
The only concern I had was that some features like address validation cost a little extra with the basic plan.
I have heard that the licensing and setup costs are quite high, especially if we try to connect for a support call.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
There are plans to increase license rates.
Adding modules like Privacy could become expensive.
It ranges from a quarter million to a couple of million a year.
Informatica Intelligent Cloud Services is affordable for my specific use cases, with the pricing being rated three or four on a scale where one is very cheap.
Regarding pricing, compared to other tools I have worked with, Informatica offers competitive pricing, which I find not high in terms of starting strategy.
We were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
It is very good in scalability.
Ataccama ONE Platform has positively impacted our organization because before its implementation, completing tasks such as more than 100 or thousands of rules took more than a week. Now, we complete those tasks in less than two or three days due to the automation and one-time task capability.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
We have saved up to 30% of manual work as a specific process or workflow became faster.
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
The connectors serve as the main functionality, making data integration processes more efficient by saving time and effort.
We could run data quality rules as part of Service Bus, which ensured the integrity of customer information before it was entered into our database.
| Product | Mindshare (%) |
|---|---|
| Collibra Platform | 7.6% |
| Informatica Intelligent Data Management Cloud (IDMC) | 5.0% |
| Ataccama ONE Platform | 2.0% |
| Other | 85.4% |

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 24 |
| Midsize Enterprise | 14 |
| Large Enterprise | 61 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 155 |
Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.
Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.
What are the key features of Ataccama ONE Platform?In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.
Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.
Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.
What are Collibra Platform's key features?
What benefits should be sought in reviews?
In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.
Informatica Intelligent Data Management Cloud (IDMC) offers seamless integration of master data management, data quality, and data integration with a cloud-native architecture supporting multiple data management styles, optimizing data governance through metadata management.
IDMC enhances data synchronization and mapping tasks, utilizing a broad range of connectors to interact efficiently with data sources. Its precise address validation via AddressDoctor and intuitive navigation bolster user empowerment, delivering agility, scalability, and security in data governance. Despite its strengths, areas like ease of use, SAP integration, and reporting could benefit from enhancements. Connectivity issues and workflow complexities are noted, needing improvements in performance, support, and licensing cost. Users demand expanded ETL capabilities, real-time processing, and broader data source support to address growing data needs.
What are the key features of IDMC?In industries such as banking, healthcare, and telecom, IDMC is implemented for data integration, cloud migration, and enhancing data quality. Its capabilities are crucial for metadata management, lineage tracking, and real-time processing, ensuring high data quality and streamlined operations.