Confluent vs Oracle Data Integrator (ODI) comparison

The compared Confluent and Oracle solutions aren't in the same category. Confluent is ranked #7 in SA , with an average rating of 7.3, and holds a 6.4% mindshare in the category. Oracle is ranked #12 in DI , with an average rating of 7.8, and holds a 2.6% mindshare. Additionally, 95% of Confluent users are willing to recommend the solution, compared to 84% of Oracle users who would recommend it.

Confluent

Read 25 Confluent reviews

6,170 Views
3,579 Comparison Views

95% willing to recommend

Oracle Data Integrator (ODI)

Read 73 Oracle Data Integrator (ODI) reviews

12,107 Views
7,748 Comparison Views

84% willing to recommend

Confluent

Oracle Data Integrator (ODI)

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Executive Summary

We performed a comparison between Confluent and Oracle Data Integrator (ODI) based on real PeerSpot user reviews.

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Buyer's Guide

Streaming Analytics

August 2026

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Review summaries and opinions

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

Categories and Ranking

Confluent

Average Rating

8.2

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Streaming Analytics (7th)

Oracle Data Integrator (ODI)

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (12th)

Mindshare comparison

Confluent and Oracle Data Integrator (ODI) aren’t in the same category and serve different purposes. Confluent is designed for Streaming Analytics and holds a mindshare of 6.4%, down 8.3% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 2.6% mindshare, down 4.2% since last year.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Confluent	6.4%
Databricks	7.5%
Apache Flink	7.5%
Other	78.6%

Streaming Analytics

Data Integration Mindshare Distribution
Product	Mindshare (%)
Oracle Data Integrator (ODI)	2.6%
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
SSIS	3.7%
Other	89.9%

Data Integration

Featured Reviews

PavanManepalli

AVP - Sr Middleware Messaging Integration Engineer at Wells Fargo

Has supported streaming use cases across data centers and simplifies fraud analytics with SQL-based processing

I recommend that Confluent should improve its solution to keep up with competitors in the market, such as Solace and other upcoming tools such as NATS. Recently, there has been a lot of buzz about Confluent charging high fees while not offering features that match those of other tools. They need to improve in that direction by not only reducing costs but also providing better solutions for the problems customers face to avoid frustrations, whether through future enhancement requests or ensuring product stability. The cost should be worked on, and they should provide better solutions for customers. Solutions should focus on hierarchical topics; if a customer has different types of data and sources, they should be able to send them to the same place for analytics. Currently, Confluent requires everything to send to the same topic, which becomes very large and makes running analytics difficult. The hierarchy of topics should be improved. This part is available in MQ and other products such as Solace, but it is missing in Confluent, leading many in capital markets and trading to switch to Solace. In terms of stability, it is not the stability itself that needs improvement but rather the delivery semantics. Other products offer exactly-once delivery out of the box, whereas Confluent states it will offer this but lacks the knobs or levers for tuning configurations effectively. Confluent has hundreds of configurations that application teams must understand, which creates a gap. Users are often unaware of what values to set for better performance or to achieve exactly-once semantics, making it difficult to navigate through them. Delivery semantics also need to be worked on.

Read full review

Hafiz Mannan

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.

Read full review

Quotes from Members

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

Pros

"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."

"Overall, it's a great company and they have excellent software."

"The solution can handle a high volume of data because it works and scales well."

"The benefit is escaping email communication. Sometimes people ignore emails or put them into spam, but with Confluence, everyone sees the same text at the same time."

"We mostly use the solution's message queues and event-driven architecture."

"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."

"The most valuable is its capability to enhance the documentation process, particularly when creating software documentation."

"A person with a good IT background and HTML will not have any trouble with Confluent."

More Confluent pros

"Most of the functions are very straightforward, like the data model, mapping, package, and load plan. Thus, a new user could get started very fast."

"The ability to extract from multiple sources, the flexibility of using the Knowledge module, and the ergonomics of the GUI are the features I've found most valuable."

"Because the code to support those columns is shared across the whole solution, we are now capable of getting the auditing information for every single piece of data in the entire solution, without having to code it individually for each stream."

"Due to this, the customer was able to get a deep-dive insight into their business performance across the south-east Asian logistics industry."

"The ODI client can be configured so that Excel data can automatically be pumped into Oracle Forms directly."

"It allows a single skill set to handle virtually all of the data transport and transformation needs of a company."

"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."

"Oracle Data Integrator (ODI)'s ELT architecture has helped optimize my data movement and transformation significantly."

More Oracle Data Integrator (ODI) pros

Cons

"From the control center perspective, there is a lot of room for improvement in the visualization."

"Confluent has a good monitoring tool, but it's not customizable."

"There is a limitation when it comes to seamlessly importing Microsoft documents into Confluent pages, which can be inconvenient for users who frequently work with Microsoft Office tools and need to transition their content to Confluent."

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."

"There is no local support team in Saudi Arabia."

"It requires some application specific connectors which are lacking. This needs to be added."

"One area we've identified that could be improved is the governance and access control to the Kafka topics. We've found some limitations, like a threshold of 10,000 rules per cluster, that make it challenging to manage access at scale if we have many different data sources."

"The pricing was high for our needs. We should not have to pay for features we do not use."

More Confluent cons

"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons"

"Oracle support services are not up to the mark."

"It is still not as stable as the old BI Apps and ELT tools were, but it's getting there."

"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."

"The resource management aspect of the solution could be improved."

"Stability could be improved because some operators have issues."

"It used to crash with large datasets."

"If you have something like Cisco on top of it, you will have endless problems."

More Oracle Data Integrator (ODI) cons

Pricing and Cost Advice

"On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."

"Regarding pricing, I think Confluent is a premium product, but it's hard for me to say definitively if it's overly expensive. We're still trying to understand if the features and reduced maintenance complexity justify the cost, especially as we scale our platform use."

"Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."

"The solution is cheaper than other products."

"Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."

"You have to pay additional for one or two features."

"Confluent is highly priced."

"The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."

More Confluent pricing and cost advice

"ODI comes included when buying the cloud version of the Oracle database license."

"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."

"The Oracle Data Integrator (ODI) pricing isn't expensive, but it's not cheap, so it's in the middle. I'd rate the pricing as three out of five."

"The solution is very expensive."

"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."

"The solution is expensive because of the model they use. The cost is for the license and for support."

"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."

"Being an ODI developer, I never had to pay for this product. I know that the pricing/licensing is not really low, but the product is really good."

More Oracle Data Integrator (ODI) pricing and cost advice

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Database Administrator at a tech services company with 51-200 employees

Mar 31, 2014

Oracle GoldenGate vs. Oracle Active Dataguard

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Retailer

12%

Computer Software Company

Manufacturing Company

Financial Services Firm

14%

Government

Outsourcing Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	4
Large Enterprise	17

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	44

Questions from the Community

What is your experience regarding pricing and costs for Confluent?

They charge a lot for scaling, which makes it expensive.

See all answers

What needs improvement with Confluent?

See all answers

What is your primary use case for Confluent?

The main use cases for Confluent are log aggregation and streaming. I'm familiar with Confluent stream processing with KSQL. KSQL helps in terms of data analytics strategies because if we are the d...

See all answers

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...

See all answers

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...

See all answers

What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?

I need two administrators for Oracle Data Integrator (ODI).

See all answers

Comparisons

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Compared 10% of the time

Azure Stream Analytics vs Confluent

Compared 7% of the time

Databricks vs Confluent

Compared 7% of the time

Amazon Kinesis vs Confluent

Compared 6% of the time

PubSub+ Platform vs Confluent

Compared 5% of the time

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Oracle Integration Cloud Service vs Oracle Data Integrator (ODI)

Compared 23% of the time

Informatica PowerCenter vs Oracle Data Integrator (ODI)

Compared 5% of the time

SSIS vs Oracle Data Integrator (ODI)

Compared 4% of the time

SharePlex vs Oracle Data Integrator (ODI)

Compared 3% of the time

Pentaho Data Integration and Analytics vs Oracle Data Integrator (ODI)

Compared 3% of the time

More Oracle Data Integrator (ODI) Competitors

Product Reports

Buyer's Guide

Confluent

August 2026

Download Confluent product report

Buyer's Guide

Oracle Data Integrator (ODI)

August 2026

Download Oracle Data Integrator (ODI) product report

Also Known As

No data available

ODI

Overview

Confluent offers scalable, open-source flexibility and seamless data replication, supported by strong cloud integration. Key features like Kafka Connect and real-time processing make it valuable for data streaming projects while ensuring high availability with a Multi-Region Cluster.

Confluent is a robust data streaming platform that enables efficient management and integration of real-time data pipelines. Its message-driven architecture and fault tolerance provide reliability, while a user-friendly dashboard and connectors support diverse data sources. Cloud integration reduces costs, and extensive documentation, plugins, and monitoring capabilities enhance collaboration and revision management. Despite some areas needing improvement, including security in the SaaS version and integration flexibility, Confluent remains a staple in industries requiring vast data processing and task automation.

What are Confluent's key features?

Scalability: Handles large volumes of data, ensuring continuous performance.
Kafka Connect: Enables seamless data integration across multiple systems.
Real-time Processing: Facilitates instant data insights for rapid decision-making.
Multi-Region Cluster: Maintains data availability across different geographical locations.
Cloud Integration: Reduces operational costs and enhances deployment flexibility.
User Dashboard: Simplifies management with an intuitive interface.

What benefits and ROI should users consider in reviews?

Cost-Efficiency: Improved processes reduce operational expenses.
Data Reliability: Ensures consistent and accurate data handling.
Increased Collaboration: Boosts team efficiency with comprehensive documentation and management tools.
Scalability: Supports business growth without compromising performance.
Integration Flexibility: Seamlessly connects with diverse data sources and systems.

Confluent is commonly implemented in finance, insurance, and software industries for applications like fraud detection, ETL tasks, and enterprise communication. It supports real-time data processing, project management, and task automation, often integrating with project management tools like Jira, providing valuable solutions for business processes.

Confluent

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?

EL-T Architecture: Optimizes data processing by leveraging database capabilities
Knowledge Modules: Customizable strategies for faster development
Integration Support: Handles RDBMS, cloud, and big data
Automation: Facilitates rapid deployment and transformations
Real-Time Data Warehousing: Supports continuous data integration

What benefits and ROI should users consider?

Flexibility: Adapts to multiple data integration needs
Efficiency: Leverages existing database engines for optimal ETL functionalities
Scalability: Manages complex, large-scale environments
Cost-Effectiveness: Supports diverse data sources and technology platforms

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.

Oracle

Sample Customers

ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University

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We monitor all Streaming Analytics 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.