

Oracle Data Integrator and IBM Cloud Pak for Data operate in the competitive data integration and management market. IBM Cloud Pak for Data seems to have the upper hand with its modern cloud-based features and robust machine learning capabilities, which are essential for advanced analytics and data governance.
Features: Oracle Data Integrator offers capabilities like real-time data integration, re-usable mappings, and comprehensive ETL features. It provides flexibility for integrating various technologies and robust performance for handling large data volumes. IBM Cloud Pak for Data provides features like Watson Studio for data science tasks and Watson Machine Learning for predictive analytics. The integration flexibility and containerization are also key features that enable multi-cloud strategies.
Room for Improvement: Oracle Data Integrator users suggest enhancing the user interface, improving error handling, and adding support for external version control. Knowledge Modules could also be improved for better functionality. IBM Cloud Pak for Data users mention a need for better integration with other cloud services, improved connector support, and easier installation processes.
Ease of Deployment and Customer Service: Oracle Data Integrator is mainly deployed on-premises, which aligns with traditional setups but lacks flexibility. Customer service feedback is mixed, particularly regarding multi-technology issues. IBM Cloud Pak for Data provides more flexible deployment options with its cloud-based approach and public and hybrid cloud support. Its customer service is generally well-regarded, especially for cloud-oriented deployments.
Pricing and ROI: Oracle Data Integrator is perceived as expensive with a complex licensing model, favored by larger enterprises due to its stability and automation potential. ROI is considered beneficial when optimized. IBM Cloud Pak for Data is also costly, but offers competitive pricing compared to similar systems, providing ROI improvements through enhanced automation and operational efficiencies despite high initial costs.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Customer support should be more responsive and reach and respond on time.
IBM support is very supportive, and I would rate them an eight out of ten based on our long relationship with them.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
The setup cost is very expensive.
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
The main benefits that Oracle Data Integrator (ODI) brings to the table include data quality, data completeness functionality, metadata management, and the reverse engineering feature, which allows integrating the metadata of diversified data sources with a single click.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
| Product | Market Share (%) |
|---|---|
| Oracle Data Integrator (ODI) | 2.4% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 96.3% |


| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 25 |
| Midsize Enterprise | 12 |
| Large Enterprise | 43 |
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
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:
Oracle Data Integrator Benefits
There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:
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."
We monitor all Data Integration 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.