By Irem Radzik-Oracle on Apr 10, 2015
Data integration has become a critical component of many technology solutions that businesses pursue to differentiate in their markets. Instead of relying on manual coding in house, more and more businesses choose data integration solutions to support their strategic IT initiatives, from big data analytics to cloud integration.
To explore the differences among the leading data integration solutions and the impact their technologies are having on real-world businesses, Dao Research recently conducted a research study, where they interviewed IBM, Informatica, and Oracle customers. In addition they reviewed publicly available solution information from these three vendors.
The research revealed some key findings that explains Oracle's leadership in the data integration space. For example:
- Customers who participated in this study cite a range of 30 to 60 % greater development productivity using Oracle Data Integrator vs traditional ETL tools from Informatica and IBM. Dao's research ties Oracle's advantage to product architecture differences such as native push-down processing, the seperation of logical and physical layers, and the ability to extend Oracle Data Integrator using its knowledge modules.
- The research also showed that Oracle’s data integration cost of ownership is lower because of its unified platform strategy (versus offering multiple platforms and options), its use of source and target databases for processing, higher developer productivity, faster implementation, and it doesn’t require management resources for a middle-tier integration infrastructure.
- In the area of big data integration, the study highlights Oracle’s advantage with its flexible and native solutions. Unlike competitors’ offerings, developed as separate solutions, Oracle’s solution is aware of the cluster environment of big data systems. Oracle enables big data integration and cloud data integration through the use of a single platform with common tooling and inherent support for big data processing environments.
I should add that the latest release of Oracle Data Integrator EE Big Data Options widens the competitive gap. Oracle is the only vendor that can automatically generate Spark, Hive, and Pig transformations from a single mapping. Oracle Data Integration customers can focus on building the right architecture for driving business value, and do not have to become expert on multiple programming languages. For example, an integration architect in a large financial services provider told the research company "As an ODI developer, I am a Big Data developer without having to understand the underpinnings of Big Data. That's pretty powerful capability."
You can find the report of Dao's research here:
I invite you to read this research paper to understand why more and more customers trust Oracle for their strategic data integration initiatives after working with or evaluating competitive offerings.