Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Integrator (ODI) vs SAP Data Hub comparison

Informatica Intelligent Data Management Cloud (IDMC) is a robust platform used by banks, financial institutions, and health sector organizations for data management, governance, and compliance.

IDMC provides comprehensive tools for data discovery, profiling, masking, and transformation. It supports Salesforce integration, real-time data streaming, and scalable data management solutions. Health organizations manage national product catalogs while financial entities focus on data protection and regulatory compliance. Its intuitive interface, flexible features, and robust tools make it valuable across sectors, though enhancements in data integration and human workflow are being sought.

What are the most important features?

• Data discovery: Facilitates identifying and understanding data sources.
• Data profiling: Analyzes old databases for data quality.
• Data and platform masking: Ensures data protection.
• Salesforce integration: Seamless connectivity with Salesforce.
• Mastering data: Centralizing and standardizing data.
• UI intuitiveness: User-friendly interface.
• Feature map flexibility: Adapts to user needs.
• Business glossary creation: Defines business terms.
• Data lineage: Tracks data flow and transformations.
• Automation: Streamlines data processes.
• Enterprise data cataloging: Organizes extensive data assets.
• Scalability: Supports expanding data requirements.
• Easy setup: Quick deployment process.
• Bulk upload: Efficiently handles large data volumes.
• Customizable data management: Tailors data solutions.
• Real-time data streaming: Manages live data streams.
• Integration with Hadoop and NoSQL: Connects with big data platforms.

What benefits and ROI should be considered?

• Regulatory compliance: Ensures adherence to regulations.
• Data protection: Safeguards sensitive information.
• Enhanced data quality: Improves accuracy and reliability.
• Centralized data: Consolidates data for better management.
• Process automation: Reduces manual tasks and errors.

Banks and financial institutions use IDMC for data masking, transformation, and compliance, while health sector organizations leverage it for national product catalogs. Industry applications focus on automating business processes, centralizing data, and managing data catalogs to meet regulatory demands and ensure data protection.

Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine. 

Oracle Data Integrator Features

ODI has many valuable key features. Some of the most useful ones include:

• Automatic documentation generation
• Visualization of data flows in the interfaces
• Customization of generated code
• Automatic reverse-engineering of existing applications or databases
• Graphical development and maintenance of transformation and integration interfaces
• Robust data integrity control features, assuring the consistency and correctness of data
• Powerful core differentiators
• Heterogeneous ELT, declarative design and knowledge modules
• Flexibility and modularity
• Oracle Data Integrator repository
• Topology navigator
• Operator Navigator
• Security Navigator
• Integrator Console
• ODI domains

Oracle Data Integrator Benefits

There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:

• Efficient architecture: Oracle Data Integrator has a simple architecture that utilizes the source and target servers to perform complex transformations, making it an efficient solution.

• Supports all platforms: ODI gives you platform independence by supporting all platforms, hardware, and OSes with the same software.

• Cost-effective: Oracle Data Integrator reduces costs associated with initial hardware and software acquisition, and also decreases maintenance costs because it eliminates the need for an ETL Server and an ETL engine.

• Automatic detection of faulty data: By using ODI, faulty data is recycled before insertion in the target application, providing you with a data quality firewall.

• Easy development and maintenance: With a low learning curve, Oracle Data Integrator increases developer productivity while facilitating ongoing maintenance. 

• Active integration: ODI includes all styles of data integration: data-based, event-based and service-based.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.

Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”

Ashok S., Applications Support Manager at a marketing services firm, mentions, "The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.