Find out what your peers are saying about Palantir, Informatica, Cohesity and others in Data Management Platforms (DMP).
We see return on investment from this solution in terms of time; time reduction or cost benefits is what we are getting very good results from.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
The response time is pretty good because we have someone in-house, who is an expert from Informatica, in our team who can help us with any sort of queries usually.
If they are unsure how to resolve an issue, they keep customers informed, providing updates about progress and ensuring communication with the product team to deliver accurate responses.
The customer support for Oracle Integration Cloud Service is accessible through Service Requests (SR) for unknown problems, with a response expected within 24 hours.
I find the technical support from Oracle to be good.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
I find Informatica Intelligent Data Management Cloud (IDMC) to be a sustainable and scalable solution.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
Oracle has provided some fixes, and in my last two to three large engagements, we haven't faced any major challenges with the product.
The reliability of Oracle Integration Cloud Service is strong.
The solution is stable.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
I also want to see integration with other Informatica products, such as IICS, to leverage the metadata from EDC.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
Setup and deployment can be done in OCI, the Oracle Cloud Infrastructure, allowing for role-based access and configuration, managing access levels for Oracle Integration Cloud Service environments such as Dev, Test, and Production.
The mapping is a bit complex, so configuration is not very easy for a new user.
Most large customers use multiple clouds, and Oracle's partnership with Azure and other hyperscalers needs additional development on the Integration Cloud Service side.
It ranges from a quarter million to a couple of million a year.
The licenses are too expensive compared to before, which is why customers are now preferring other data metadata management tools like OneTrust, Collibra, and Azure Purview.
I think the costs are reasonable for the kinds of features that Informatica Intelligent Data Management Cloud (IDMC) has.
If integration points exceed 30, I recommend that customers use Oracle Integration Cloud Service as it becomes cost-effective with its pay-as-you-use model and multiple available packages.
Oracle Integration Cloud Service's pricing is affordable and reasonable considering its facilities.
The platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
Informatica Intelligent Data Management Cloud (IDMC) can connect to pretty much any application, including Oracle Analytics and Power BI, and it works quite seamlessly.
In on-premise, we call it EDC for metadata management, while in cloud-based technologies, it is known as the Metadata Command Center, which serves the same purpose as EDC concerning CDGC.
Additionally, it provides a wide variety of built-in adapters for many cloud providers, such as Azure Blob and AWS S3.
Oracle Integration Cloud Service offers capabilities for data customization and validation, handling different date formats, and API calls using REST and SOAP.
It is very easy to integrate, and the pre-built APIs available to connect multiple systems help establish connections faster and more accurately.
Product | Market Share (%) |
---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 14.1% |
Palantir Foundry | 25.9% |
Adobe Audience Manager | 6.2% |
Other | 53.8% |
Product | Market Share (%) |
---|---|
Oracle Integration Cloud Service | 7.0% |
Microsoft Azure Logic Apps | 13.1% |
Boomi iPaaS | 12.4% |
Other | 67.5% |
Company Size | Count |
---|---|
Small Business | 42 |
Midsize Enterprise | 24 |
Large Enterprise | 134 |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 8 |
Large Enterprise | 27 |
Informatica Intelligent Data Management Cloud (IDMC) integrates data quality, governance, and integration with flexible architecture. It supports multiple domains and a data models repository, delivering AI-enhanced data management across cloud-native platforms.
IDMC provides seamless integration and governance capabilities that support diverse data environments. Its comprehensive suite includes customizable workflows, data profiling, and metadata management. AI features, a data marketplace, and performance scalability enhance data management. While its interface poses challenges, its robust matching and cloud-native integration facilities are essential for complex data ecosystems. Users employ IDMC for connecting systems, ensuring data quality, and supporting data compliance but seek better pre-built rules, services, and improved connectivity, especially with platforms like Salesforce. Licensing, cost, and added AI functionalities are areas for potential refinement.
What are the key features of IDMC?IDMC is implemented across industries for data integration, metadata management, and governance. Organizations use it to connect systems, migrate data to cloud environments, and maintain data quality. They manage master data and automate business processes, facilitating data lineage and ensuring compliance with privacy regulations.
Oracle Integration Cloud Service is a cloud-based integration tool that seamlessly integrates on-premise applications with Oracle Cloud (SaaS) or other cloud apps (for example, Workday, Salesforce, etc.) to other cloud apps. Oracle’s solution combines all the capabilities of application integration, process automation, visual application building, and integration analytics into a single unified cloud service. The solution offers real-time and batch-based integration, structured and unstructured processes, case management, stream analytics, and integration insight. All of these capabilities together allow users to service all their end-to-end integration needs in one cohesive platform.
Oracle Integration Cloud Service Features
Oracle Integration Cloud Service has many valuable key features. Some of the most useful ones include:
Oracle Integration Cloud Service Benefits
There are many benefits to implementing Oracle Integration Cloud Service. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Oracle Integration Cloud Service is a solution that stands out when compared to many of its competitors. Some of its major advantages are that it has good adapters, is user friendly, and produces a solid ROI.
Rishabh S., Business and Technology Delivery Associate Manager at Accenture, says, “It has good performance, easy integration, is user-friendly, and also has helpful technical support. The dashboard provided by Oracle Integration Cloud for monitoring and error handling is very intuitive. You do not need a third-party dashboard or logging framework when you initiate the integration. There are a lot of adapters, which is what I like the most.”
“The most valuable features of this solution are the SFTP adapters, file adapters, and risk adapters, that we use in everyday projects,” says PeerSpot user Arun N., Technical Manager at a financial services firm.
Kanhaiya C., Solution Architect at Tata Consultancy, explains, "Oracle Integration Cloud Service is a really good product and the ROI is very good with it. It lowers development time. A development cycle that may have taken a year without Oracle Integration Cloud Service can drop down to three or four months with it."
We monitor all Data Management Platforms (DMP) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.