

Informatica Intelligent Data Management Cloud (IDMC) and Cohesity Data Cloud compete in the data management and protection category. Informatica stands out for its comprehensive data management features, while Cohesity excels in data protection and resilience.
Features: IDMC offers robust data management capabilities with flexible integration, advanced matching and merging, and comprehensive metadata management, highly valued in the banking sector. It provides user-driven model customization and cross-platform functionality. Cohesity Data Cloud focuses on data protection with features like virtualization integration, ransomware protection, and global deduplication. It provides a scalable hyper-converged infrastructure and integrated file services for managing secondary data efficiently.
Room for Improvement: IDMC could improve internal testing to reduce the need for emergency bug fixes and enhance UI performance. Better integration capabilities and a more intuitive workflow setup are also suggested. Concerns about pricing and scalability prompt users to seek more flexible models. Cohesity needs to improve support responsiveness, legacy environment compatibility, and offer multi-tier performance options. Expanding integrations with additional platforms and optimizing for cloud environments could broaden its reach.
Ease of Deployment and Customer Service: IDMC supports versatile deployment options across on-premises, cloud, and hybrid models, but technical support can be inconsistent, with offshore support posing challenges. Cohesity offers flexibility and simplicity with strong customer service once a dedicated support path is established, excelling in rapid setup across environments.
Pricing and ROI: IDMC is considered a premium investment with its extensive feature set, but separate licensing fees for additional components can be a drawback. Users find value in its features despite cost concerns. Cohesity Data Cloud offers competitive pricing for data protection capabilities, justifying the investment against modern threats. Its pricing aligns with its target market, providing cost-effective solutions for enterprises focusing on data security and efficiency.
If I find myself stuck in a cyber recovery situation, this tool can help me avoid spending my money on ransom payments.
The level of confidence that Cohesity Data Cloud delivers to the clients is worth that cost.
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.
issues with Cohesity Data Cloud have not been encountered, suggesting a robust service.
They need to work faster to meet client requirements, especially when business is affected.
They probably upstaffed and made sure their knowledge was more up-to-date.
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.
Scaling depends on subscription levels - when customers exceed their subscribed storage capacity, they can pay Cohesity to scale the resources.
There are no issues with scalability on the cloud end.
It's easy to add additional nodes to a current existing cluster, making it quite easy to expand.
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.
Compared to other tools, it is very efficient and simple to learn.
I couldn't find anything negative about Cohesity Data Cloud specifically.
Cohesity Data Cloud is quite reliable.
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.
Issues such as ransomware protection and fixing vulnerabilities should be prioritized.
Cohesity Data Cloud scans backups by default for ransomware and malware, sending notifications if there are any security concerns or compromised systems.
The primary drawback is the need to transfer large amounts of data to the cloud via an internet connection, requiring significant bandwidth.
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.
Cohesity Data Cloud is more costly in the long term compared to physical tapes.
Comparatively, compared to IBM and Commvault, Cohesity Data Cloud offers the best deal for my environment.
All organizations are very interested in as-a-service model where they do not pay upfront cost, but they only get the services and pay for what they use as they use it.
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.
It replicates data to the cloud in a tamper-proof manner, offering protection against ransomware attacks since it is not under administrative control.
They have a feature called DataSock, which enhances data protection.
The initial deployment of Cohesity Data Cloud, from my experience, is easy.
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 (%) |
|---|---|
| Informatica Intelligent Data Management Cloud (IDMC) | 9.9% |
| Cohesity Data Cloud | 3.9% |
| Other | 86.2% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 1 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 51 |
| Midsize Enterprise | 27 |
| Large Enterprise | 153 |
Consolidate your backups, file shares, object stores and data for dev/test and analytics on a web-scale data management platform.
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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