Oracle Data Integrator Cloud Service vs StreamSets comparison

Oracle and IBM are both solutions in the Cloud Data Integration category. Additionally, 100% of Oracle users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

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752 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,142 Views
3,189 Comparison Views

100% willing to recommend

Oracle Data Integrator Clou...

StreamSets

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Executive Summary

We performed a comparison between Oracle Data Integrator Cloud Service and StreamSets based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration.

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Cloud Data Integration

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

Oracle Data Integrator Clou...

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (31st)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (24th)

Featured Reviews

Aditya Devaguptapu

Senior Solution Architect at a financial services firm with 10,001+ employees

A well-established product that meets all our specifications in terms of usability

In the initial stage when we went with Data Integrator Cloud Service it was primarily the nativity factor that was key for us. Having a single vendor supporting the entire suite of applications, and the ability to configure activities and direct integration with various other Oracle products, were the main attractive features within ODI. This is a well-established product that's good to have if you hold an Oracle suite of applications. It meets all our specifications in terms of usability.

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SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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Quotes from Members

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

Pros

"The solution is easy to manage and offers good integration. You can run all the tasks one by one which is really helpful, and pick the day and time to do so."

"The most valuable thing to me is its simplicity. A person with zero knowledge can also develop the integration without having extensive technology knowledgebase. They can also work on creating their own integration."

"The solution is very stable and it's great once you get it working correctly."

"Oracle Data Integrator helps us build tables and data marts and allows us to schedule them daily, for nearly real-time data warehousing."

"Having a single vendor supporting the entire suite of applications."

"It's on the cloud, so it's scalable and quite easy to work with."

"The data is stored in the cloud, making it easy to download data simultaneously into multiple smaller servers, effectively downsizing the process."

"This is a well-established product that's good to have if you hold an Oracle suite of applications."

More Oracle Data Integrator Cloud Service pros

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

"It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

More StreamSets pros

Cons

"It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot."

"The solution is expensive."

"I've found technical support not very effective. They should work to improve their services."

"The pricing could be more competitive."

"It can be made much easier for users. They should be allowed to easily monitor the data extraction and flow, allowing them to observe real-time data flow within the software, making the process straightforward."

"I would like to see different cloud adapters or connectors in case of integration. When you have Oracle to Oracle, they are good. They have really good connectors, but if it is a different ERP, like Obsidian, that is where they are faced with problems in OIC."

"Licensing costs for this Oracle solution are expensive. ODI forms an integral part of the overall PaaS solution and becomes a kind of backbone for that particular service, which is painful because from a PaaS perspective, the licensing costs just shoot off the roof."

"This is an expensive solution compared to other products on the market."

More Oracle Data Integrator Cloud Service cons

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA."

More StreamSets cons

Pricing and Cost Advice

"The price is competitive compared to Boomi which is much higher."

"It's not so favorable for small companies."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

"We are running the community version right now, which can be used free of charge."

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

17%

Construction Company

15%

Comms Service Provider

11%

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

Questions from the Community

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What needs improvement with StreamSets?

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What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

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What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

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Compared 9% of the time

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Compared 6% of the time

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Compared 6% of the time

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Compared 5% of the time

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Compared 5% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

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Product Reports

Buyer's Guide

Oracle Data Integrator Cloud Service

August 2026

Oracle Data Integrator Cloud Service report

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StreamSets

July 2026

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Overview

Oracle Data Integrator Cloud Service is designed for integrating, building tables and data marts with ease. It seamlessly integrates with Oracle and non-Oracle sources like MSS, Hadoop, and MySQL, supporting cloud data storage and multi-server data downloads.

Oracle Data Integrator Cloud Service simplifies data integration and ETL processes. Users find its native adapters useful for quick implementation and complex tasks. While appreciated for ease of use without requiring extensive technical expertise, some improvements are needed, such as better browser accessibility and mapping features. Although seen as expensive, it supports scheduling, ERP SCM integration, and SaaS finances, aiding in data orchestration across cloud and third-party systems.

What are the key features of Oracle Data Integrator Cloud Service?

Integration with Oracle Apps: Ensures seamless connectivity with other Oracle offerings.
Data Access Simplification: Simplifies data retrieval from sources like Oracle, MSS, Hadoop, and MySQL.
Native Adapters: Accelerates implementation for both basic and complex tasks.
Scheduling and Data Storage: Provides robust scheduling options and cloud-based storage solutions.
Multi-Server Downloads: Facilitates efficient data handling across multiple servers.

What benefits and ROI should be expected from Oracle Data Integrator Cloud Service?

Ease of Use: Intuitive design reduces the need for extensive technical knowledge.
Comprehensive Integration: Supports wide-ranging ERP and cloud service integrations.
Time Efficiency: Faster implementation leads to quicker time-to-value.
Enhanced Data Management: Simplifies and streamlines ETL processes.
Scalability: Supports extensive data orchestration and large-scale cloud implementations.

Oracle Data Integrator Cloud Service is relied upon across industries for building data warehouses and integrating systems. Companies use it to implement ETL processes and integrate ERP SCM cloud services with SaaS finances and third-party apps. It is crucial for orchestrating comprehensive cloud-based system implementations.

Oracle

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

Amplifon

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

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August 2026

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