Sep 01, 2022
Hello Yegane, I recommend add Precisely Data360 Govern (Infogix Data360 Govern)
Informatica Intelligent Data Management Cloud and Collibra Platform are competing in the data management and governance category. Informatica appears to have the upper hand in data integration and processing due to its comprehensive data management capabilities, while Collibra shines in metadata management and governance tools.
Features: Informatica Intelligent Data Management Cloud provides advanced data integration, transformation, and seamless connectivity with various systems. Its flexible architecture supports customized metadata management, and the platform includes robust data processing, cleansing, and reporting features. Collibra Platform stands out in metadata management, data governance, and lineage visualization. It offers intuitive tools for data stewardship and collaboration, making it suitable for extensive governance tasks.
Room for Improvement: Informatica IDMC users face challenges with performance and integration, especially when migrating from on-premises systems. The need for improved UI and expanded connectors also highlights concerns. Collibra Platform users desire more adaptive workflows, enhanced connectivity, and simpler navigation, although it excels in governance capabilities, further enhancements are needed to satisfy diverse industry requirements.
Ease of Deployment and Customer Service: Informatica IDMC supports on-premises, cloud, and hybrid deployments, offering flexibility despite challenging migrations. Its customer service is well-regarded, though high demand can impact response times. Collibra Platform provides similar deployment versatility with a cloud focus. It is praised for customer service, yet setup complexities might require extensive support.
Pricing and ROI: Informatica IDMC's pricing is high, reflecting its comprehensive features, possibly deterring smaller enterprises. Clients find value in its extensive data management capabilities, realizing ROI when fully utilized. Collibra Platform's licensing includes costly modular add-ons, but its sophisticated governance features justify the premium. Organizations see ROI through improved data governance efficiencies despite high initial investments.
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.
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.
We were a big bank and had thousands of assets without any issues.
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
Collibra Platform is heavily scalable with a completely robust architecture.
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 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.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
There should be a reduction in cost as compared to other tools.
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.
If the development interface could be optimized to have fewer modules, it would be greatly beneficial.
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.
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) | 5.3% |
| Other | 87.1% |
| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 12 |
| Large Enterprise | 57 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
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.
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