Sep 09, 2021
We have experiences only in Pentaho Data Integrator (open source competitor of the Oracle Data Integrator).
But OLAP exporting wasn't in our scope until now.
Oracle Data Integrator and Talend Data Management Platform compete in the data integration category. Talend seems to have the upper hand in terms of user-friendliness and adaptability, while ODI shines with its robust capabilities and extensive integration options.
Features: Oracle Data Integrator handles complex data integration tasks efficiently with advanced capabilities such as loading slowly changing dimensions, reusable mappings, and real-time data integration. It supports numerous scripting languages, providing strong ETL performance through an EL-T approach. Talend offers versatile data integration features characterized by ease of use and a wide range of connectors. It supports big data and various integration tasks, making it adaptable to different needs.
Room for Improvement: Oracle Data Integrator needs enhancement in interface intuitiveness, error handling, and better integration support with Oracle products. Its GUI and client dependency can be less user-friendly. Talend needs to improve its user-friendliness, documentation accuracy, and installation process. Both systems require better real-time transformation support and error handling, although Talend has fewer system crash issues than ODI.
Ease of Deployment and Customer Service: ODI is mainly used on-premises and in hybrid cloud environments, offering solid support in simple scenarios but facing challenges with multiple Oracle technologies. The technical support varies depending on issue complexity. Talend, used both on-premises and in the cloud, is easier to deploy, and customer service is responsive. However, it lacks features for dedicated multi-environment deployment and hybrid systems support, appreciated by ODI users.
Pricing and ROI: ODI is seen as expensive due to its complex licensing structure, making it less appealing to smaller companies. Its robust features can justify the price for larger firms with proper deployment, leading to notable ROI. Talend, in contrast, offers a more cost-effective and flexible subscription model, accessible for businesses of various sizes. Its lower cost, paired with effective data management capabilities, often results in a quicker ROI.
We actually achieved the first 18 months worth of work in the first six months.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
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.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Data management could also encompass APIs and real-time streaming data integration.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
Having access to Talend support directly from TNC proved quite beneficial.
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."
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