

Oracle Data Integrator and Domo are prominent players in the data integration and analytics space. Oracle Data Integrator stands out with its comprehensive EL-T capabilities and integration with diverse data sources, while Domo gains an edge due to its user-friendly self-service analytics and visualization tools.
Features:Oracle Data Integrator features a robust EL-T architecture that executes data processing tasks directly on the target database, reducing network traffic and hardware costs. It supports extensive integration with various data sources, including big data environments, and includes a Knowledge Module architecture for reusable integration strategies. Domo offers accessible self-service analytics with drag-and-drop ETL features, AI-driven insights, and customizable dashboards, catering mainly to non-technical users.
Room for Improvement:Oracle Data Integrator could improve error handling and support for external version control systems, along with GUI performance enhancements. Domo faces pricing challenges and could better its AI features, dashboard aesthetics, and report customization options. Its complex pricing structure may be problematic for smaller businesses.
Ease Of Deployment and Customer Service:Oracle Data Integrator is ideal for hybrid and on-premises deployments, suiting enterprises with existing infrastructure. Its technical support is mixed but deemed knowledgeable by users. Domo, primarily cloud-based, provides deployment flexibility between public and private clouds, with highly rated prompt customer service.
Pricing and ROI:Oracle Data Integrator offers licensing based on seat or target core count, which can be expensive for small enterprises. Despite high upfront costs, it is seen as providing favorable ROI due to reduced custom ETL task workload. Domo's subscription is viewed as costly, but its all-in-one capabilities offer unique value by eliminating the need for additional BI or ETL tools. Domo's pricing might deter smaller users, contrasting with Oracle Data Integrator's broader integration benefits.
If you're actually using Domo at a very limited case and you're being charged $20,000, we've seen ROI there, but once it goes really high, you really need to check your metrics and check your profit.
No matter how complex the problem is, it can be taken care of by the support team.
They were quite professional and in around three to five working days, they had identified where they suspected there was an issue and I was able to fix it.
It's very easy to get technical support from Domo.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
The technical support of Oracle is very good; they support the Oracle Data Integrator (ODI) solution effectively.
The fact that you're able to easily identify the pipelines or flows that have errors, and it notifies you when you're building a pipeline where you can run previews and tell where to fix issues, is helpful.
When fetching files larger than 100 MB from SFTP or any other portal, Domo becomes slow due to the heavy file size.
Everything comes under the same umbrella and it's pretty user-friendly.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
In recent years, I haven't had such cases. It's quite stable and I don't have any reservations on its stability.
In terms of overall stability of the platform, it's very stable.
During that time, we faced issues from the project side as Domo was not visible in our portal.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
End users require a license to run their own reports and dashboards, which are fairly expensive.
Some technical aspects such as Beast Mode calculation could be improved in Domo, as it would provide more clarity and help in giving insights to clients or customer business team requirements.
One of the areas where we've had frustrations with Domo is the aesthetics. The aesthetics are quite limited compared to other BI tools such as Tableau and Power BI.
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.
It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame.
Adding AI capabilities would make Oracle Data Integrator (ODI) even better.
Domo's pricing is high compared to other BI tools, and it is costly.
For long-time users, it can become expensive, but the trade-off is access to the entire platform instead of licensing different components separately.
They quoted approximately one dollar per KB.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table.
App Studio is valuable because it allows all the customization we needed; we can decode it, with the view and grid which are all I need, drill-downs, and everything can be done the way I need it.
None of the other tools provide the kind of support that enables chatting and working on the same item simultaneously.
Domo has positively impacted my organization by giving everyone the ability to see different data cards and make decisions quicker without relying on BI.
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.
Oracle Data Integrator (ODI)'s ELT architecture has helped optimize my data movement and transformation significantly.
| Product | Mindshare (%) |
|---|---|
| Oracle Data Integrator (ODI) | 2.6% |
| Domo | 0.7% |
| Other | 96.7% |

| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 13 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 44 |
Domo provides self-service BI, enabling users to generate reports without needing a data warehouse. Its cloud-based nature enhances accessibility and performance, while offering customizable dashboards for data-driven decision-making.
Domo stands out for its robust data integration, featuring Magic ETL to streamline processes. Its AI-driven insights, extensive data connectors, and collaboration tools promote secure sharing and analytical proficiency. Although users note room for improvement in visualization, pricing, and data integration, its capabilities in generating executive dashboards and unified analytics remain prominent. Performance and user experience enhancements are desired, including improved support for large data volumes and richer data transformation tools.
What are the key features of Domo?In industries like finance, marketing, project management, and retail, organizations use Domo for crafting executive dashboards, integrating data sources, and conducting advanced analytics. Its capabilities allow them to transform data into insightful dashboards, aiding in performance tracking and actionable insights.
Oracle Data Integrator offers flexible EL-T architecture, optimizing processing with database capabilities. It supports diverse data sources, automates deployment, and provides efficient data transformations, making it suitable for data warehousing and complex data environments.
Oracle Data Integrator leverages EL-T architecture to enhance processing by utilizing database strengths. It integrates with a wide array of technologies, including RDBMS, cloud, and big data. The software's Knowledge Modules enable customizable integration strategies, accelerating development. With a user-friendly interface and automation features, it simplifies metadata management and supports real-time data warehousing. Key areas such as UI performance, integration, and real-time data capabilities require enhancements. Challenges include error handling, initial setup, and compatibility with platforms like Git, Azure, and IoT services. Improvements in metadata management, scalability, and user-friendliness are needed.
What are the most important features of Oracle Data Integrator?Organizations utilize Oracle Data Integrator primarily in data warehousing, handling data from ERP systems, EBS, Fusion, and cloud databases. It aids in creating data lakes, OLTP migrations, digital health initiatives, and automation tasks, ensuring seamless integration with databases like MySQL and SQL Server.
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