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Oracle Data Integrator (ODI) vs Tray.ai comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.9
Oracle Data Integrator offers strong ROI through automation and efficiency, with positive feedback on stability and cloud enhancements.
Sentiment score
5.8
Tray.ai automates tasks, significantly reducing workload and engineering demands, with users showing ongoing value appreciation over 19 months.
I have seen a return on investment as the company has been renewing the product for the entire 19 months we have been using it, which indicates that trust is high and they likely see value and advantage in using the system.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
It has even eliminated a position on our team because that person was no longer needed once we started the automations.
Applications Analyst at a healthcare company with 1,001-5,000 employees
The ROI is clear, as it eliminates hundreds of engineer hours required to build and maintain custom integration connectors, while empowering client partners to manage complex data ingest self-sufficiently.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Customer Service

Sentiment score
5.8
ODI customer support solves issues effectively, yet users face response delays, communication challenges, especially in multi-technology integrations.
Sentiment score
4.3
Tray.ai's support is adequate, with ease of use reducing direct contact, complemented by positive feedback on newsletters and updates.
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.
Head of Data Services – Services Partner at 3 As Technologies
I have never used the customer support for Tray.io because the software is very easy to use and we never needed to contact support.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.6
Oracle Data Integrator is scalable and adaptable, handling large projects effectively, though resource demands may pose challenges.
Sentiment score
7.3
Tray.io excels in scaling and data management, though complexity arises as operations expand beyond small-scale uses.
The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement.
Head of Data Services – Services Partner at 3 As Technologies
We were able to deploy it from a small company within Tata with 200 people to what is now a multinational company with 92,000 people globally.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
Our company uses it for handling high-volume data ingestion and integration orchestration between our platform and external ad services.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The benefits of it being no-code or low-code started to pale in comparison to the cost of making everything slightly more complicated.
Operations Analyst at a tech vendor with 51-200 employees
 

Stability Issues

Sentiment score
7.4
Oracle Data Integrator shows strong stability improvements, with rare issues, efficient management of large volumes, and occasional integration challenges.
Sentiment score
7.9
Tray.ai is stable and efficient but requires setup learning; memory can impact workflows if not managed properly.
In terms of performance stability, I have not experienced any downtimes, crashes, or performance issues with the Oracle Data Integrator (ODI).
Head of Data Services – Services Partner at 3 As Technologies
In my experience, Tray.io is stable, as we have never experienced issues with it failing or being unavailable.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
The biggest issue we have with Tray.io is that it runs out of memory space and does not process all of our workflows.
Applications Analyst at a healthcare company with 1,001-5,000 employees
Tray.io is highly stable for daily scheduled production runs and event-driven webhooks, provided proper error handling, timeout management, and payload validation are built into the workflow steps.
Dev Ops Engineer at a outsourcing company with 201-500 employees
 

Room For Improvement

ODI needs better UI performance, tool compatibility, GitHub integration, error handling, real-time AI features, pricing, and external version control.
Tray.ai struggles with user accessibility, documentation, and pricing, limiting usability for non-technical teams and smaller organizations.
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.
Head of Data Services – Services Partner at 3 As Technologies
Adding AI capabilities would make Oracle Data Integrator (ODI) even better.
Software Engineer at a financial services firm with 10,001+ employees
When an automation fails, it usually provides the JSON format, and if Tray.io could include a summary of what the actual error entails, that would be quite beneficial.
IT Engineer at a consumer goods company with 51-200 employees
I believe Tray.io can be improved by offering integration with Tableau, which is still not available.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows.
Automation Engineer at a educational organization with 11-50 employees
 

Setup Cost

Oracle Data Integrator pricing varies; costs are influenced by licensing complexity, with potential savings through discounts and bundled solutions.
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.
Head of Data Services – Services Partner at 3 As Technologies
No one has complained in the finance department, and it is very rare for Tata Motors to refrain from complaining about pricing.
Principal AI and Data Science Engineer at a manufacturing company with 10,001+ employees
 

Valuable Features

Oracle Data Integrator optimizes EL-T processing with flexible integration, supporting diverse technologies and enhancing data management efficiency.
Tray.io offers low-code automation with robust integrations, intuitive design, and advanced features to enhance workflow resilience and efficiency.
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.
Head of Data Services – Services Partner at 3 As Technologies
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.
Software Engineer at a financial services firm with 10,001+ employees
The connector SDK is also very nice; it has a large library of pre-built connectors that can connect a lot of proprietary internal tools directly into Tray.io, allowing the developer to build, test, and deploy custom connectors using Node.js and integrate the data directly into Tray.io.
Automation Engineer at a educational organization with 11-50 employees
The best features Tray.io offers include the visual workflow builder and HTTP client blocks that enable rapid prototyping and deployment of complex API interactions, including raw HTTP requests, data mappers, and dynamic token generation.
Dev Ops Engineer at a outsourcing company with 201-500 employees
The logging and debugging features in Tray.io have helped us considerably, especially when dealing with APIs that return errors sometimes.
Operations Analyst at a tech vendor with 51-200 employees
 

Categories and Ranking

Oracle Data Integrator (ODI)
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
73
Ranking in other categories
Data Integration (14th)
Tray.ai
Average Rating
7.2
Reviews Sentiment
5.4
Number of Reviews
7
Ranking in other categories
Process Automation (17th), Cloud Data Integration (18th), Low-Code Development Platforms (20th), Integration Platform as a Service (iPaaS) (14th)
 

Featured Reviews

Hafiz Mannan - PeerSpot reviewer
Head of Data Services – Services Partner at 3 As Technologies
Facilitates complex data integration with ease and flexibility
It would be great if ODI could link the designer, mapping, and workflows in a more simplified manner, maybe in one combined interface. 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 instead of having the designer separately, mapping separately, and monitoring and session management separately. With respect to data quality challenges, it would be great to give an option to fix data quality issues based on AI. Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent. One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs. The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement, and certain parallel threads should be added along with the ability to configure multiple jobs from the same data directory structure.
Amrit Dash - PeerSpot reviewer
Automation Engineer at a educational organization with 11-50 employees
Automated student enrollments have reduced manual work and now free our team for higher-value support
Tray.io is definitely a highly powerful tool, but there are three main areas that I feel could be improved. There is a steep learning curve in user accessibility; the builder is highly developer-centric, making it difficult for a non-technical team member to modify or troubleshoot workflows. Introducing a more intuitive visual interface similar to what we have in make.com right now would make the platform much more collaborative and easier to work with for any non-technical folks or newly onboarded engineers, allowing them to be briefed faster. Visual debugging is another area where troubleshooting complex nested loops can feel very abstract. Having clearer, more visual step-by-step data tracking during test runs would speed up the development and testing process. The pricing model is geared heavily towards enterprise budgets; offering more flexible mid-market pricing tiers would make it more accessible for a growing organization that wants a small start and scale up gradually. The core platform security is highly robust and easily meets our requirements for SOC 2 and GDPR compliance. However, when utilizing their AI features such as Merlin AI with sensitive student data, we maintain a very cautious approach. While Tray.io provides enterprise-grade governance guardrails and data masking capabilities, our internal compliance policies prevent us from passing any personally identifiable student information directly through AI-driven processors. We trust Tray.io's underlying infrastructure security, but we believe organizations must still enforce strict data filtering protocols on their end to ensure student privacy is maintained. During our evaluation, we tested the AI capabilities in a sandbox environment, primarily using it to generate workflow drafts and natural language prompts from web data schemas. Strength-wise, it is highly capable when it comes to translating simple text descriptions into functional workflow templates. It serves as a great accelerator, helping to map standard files quickly and reducing the initial setup time for basic integrations. For issues, in the case of highly custom APIs or deeply nested data structures, accuracy declines. We noticed occasional misinterpretation of complex schemas, meaning our developers still had to manually review and correct the outputs. It is a highly helpful productivity booster but still requires human oversight for enterprise-grade reliability.
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Comparison Review

it_user99375 - PeerSpot reviewer
Database Administrator at a tech services company with 51-200 employees
Mar 31, 2014
Oracle GoldenGate vs. Oracle Active Dataguard
As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication…
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
10%
Manufacturing Company
10%
Government
8%
Comms Service Provider
14%
Construction Company
11%
Outsourcing Company
11%
Healthcare Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise44
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise4
 

Questions from the Community

What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?
Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...
What do you like most about Oracle Data Integrator (ODI)?
In comparison with other products of the same range, licensing mode is really attractive, no need to license according technology/topology to be used and an incredible Versatility to build any Data...
What needs improvement with Tray.io?
Native rate limit and auto-retry handling can be improved, as when hitting 429 errors or too many requests errors during high-volume API loops, Tray.io lacks native configured backoff and retry log...
What is your primary use case for Tray.io?
Tray.io serves as the core iPaaS orchestration and data ingestion engine between our primary system and numerous external platforms such as ad servers like GAM, FreeWheel, Flitepath, Facebook, ERPs...
What advice do you have for others considering Tray.io?
My advice for others looking into using Tray.io is to modularize earlier. I recommend not building massive monolithic workflows, but rather creating single-purpose callable workflows and triggering...
 

Also Known As

ODI
No data available
 

Overview

 

Sample Customers

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Copper, DigitalOcean, Udemy, AdRoll, FICO, Outreach
Find out what your peers are saying about Oracle Data Integrator (ODI) vs. Tray.ai and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.