AWS Glue vs Oracle Data Integrator Cloud Service comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Cloud Data Integration category. Amazon Web Services (AWS) is ranked #1 with an average rating of 7.4, while Oracle is ranked #21 with an average rating of 9.0. Amazon Web Services (AWS) holds a 14.4% mindshare in CDI, compared to Oracle’s 0.6% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

7,756 Views
4,809 Comparison Views

90% willing to recommend

Oracle Data Integrator Clou...

Read 7 Oracle Data Integrator Cloud Service reviews

470 Views
155 Comparison Views

100% willing to recommend

AWS Glue

Oracle Data Integrator Clou...

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Executive SummaryUpdated on Dec 3, 2024

Oracle Data Integrator Cloud Service and AWS Glue are competitors in data integration and ETL. AWS Glue has the upper hand due to its advanced features and data processing capabilities.

Features: Oracle Data Integrator Cloud Service provides native cloud integration, broad support for various data sources, and strong integration features. AWS Glue offers serverless architecture, integration with AWS services, and feature innovation enhancing performance and scalability.

Room for Improvement: Oracle Data Integrator Cloud Service can improve its interface for ease of use, enhance its scheduling capabilities, and offer more flexibility in deployment environments. AWS Glue could benefit from simplifying its setup process, improving support for non-AWS environments, and enhancing data transformation capabilities for complex data structures.

Ease of Deployment and Customer Service: Oracle Data Integrator Cloud Service simplifies deployment with robust customer support and service integration. AWS Glue is known for an easy deployment model, leveraging AWS's scalable support and serverless resource management.

Pricing and ROI: Oracle Data Integrator Cloud Service represents competitive pricing with low initial setup costs, ideal for long-term projects. AWS Glue’s pay-as-you-go model may offer better ROI for organizations using AWS Cloud, providing dynamic scaling and cost flexibility based on usage.

To learn more, read our detailed AWS Glue vs. Oracle Data Integrator Cloud Service Report (Updated: September 2025).

Buyer's Guide

AWS Glue vs. Oracle Data Integrator Cloud Service

September 2025

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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

AWS Glue

Ranking in Cloud Data Integration

1st

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Data Integrator Clou...

Ranking in Cloud Data Integration

21st

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of AWS Glue is 14.4%, down from 21.3% compared to the previous year. The mindshare of Oracle Data Integrator Cloud Service is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
AWS Glue	14.4%
Oracle Data Integrator Cloud Service	0.6%
Other	85.0%

Cloud Data Integration

Featured Reviews

Saurabh Jaiswal

Python AWS & AI Expert at a tech consulting company

Enables seamless integration and data preparation with robust transformation capabilities

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models. It offers transformation options on canvas or through ETL pipelines, notebooks, and code. Additionally, it supports data preparation, cleaning, and filtering seamlessly. AWS Glue also enhances job scheduling and orchestration capabilities, integrating with AWS Glue Studio for comprehensive data workflow management.

Read full review

Peeyush Chouksey

Associate Manager at Accenture

Allows us to integrate different cloud services with different applications

It's lacking a lot of mapping features that Oracle OSB and SOA have. It needs to evolve a lot. When it comes to mapping, you are quite restricted. If you have to use a specific, typical function, you need to do a Java callout or something. OSB has a lot of features they are using like Java APIs because it's on-premises.

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

"Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."

"The AWS Glue Data Catalog provides metadata management and schema discovery. AWS Glue simplifies data transformation with automatic schema detection, incremental data updates, and integration with other AWS services."

"I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages."

"The solution's technical support is good. Whenever we raise a use case where we face an issue in our company, we get a response from the solution's technical team."

"The most valuable feature for me is the visual interface of AWS Glue."

"The solution’s most valuable feature is the ETL job."

"AWS Glue has reduced efforts by 60%, which is the main benefit."

"I like its integration and ability to handle all data-related tasks."

More AWS Glue pros

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

"Oracle integration cloud has got the adapters for all their products, which makes integration faster."

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

"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."

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

"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."

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

Cons

"The technical support for this solution could be improved. In future, we would like to connect more services like Athena or Kinesis to help control more loads of data."

"I would like to see stable libraries at the moment they are not there."

"The start-up time is really high right now. For instance, when you start up a new job, you have to wait for five or eight minutes before it starts. If the start-up time is reduced to one or two minutes, it will be great. It will be better to have a direct linkage to Redshift in AWS. If we can use data catalogs from Redshift, it will be so easy to create some data catalogs. Currently, we can only use data catalogs from S3."

"I haven't looked into Glue in terms of seeking out flaws. I've not come across missing features."

"It is quite clunky and code-heavy, which is my biggest problem."

"Overall, I consider the technical support to be fine, although the response time could be faster in certain cases."

"The solution's visual ETL tool is of no use for actual implementation."

"On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded."

More AWS Glue cons

"The pricing could be more competitive."

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

"Bulk uploading can be a problem when you hit the upper limit."

"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."

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

"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."

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

Pricing and Cost Advice

"If you are using the solution for an enterprise business, it will be expensive."

"The solution's pricing is based on DPUs so it is a good idea to optimize use or it can get expensive."

"The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."

"This solution is affordable and there is an option to pay for the solution based on your usage."

"I rate pricing an eight out of ten."

"I rate the tool's pricing a four out of ten."

"I rate the tool an eight on a scale of one to ten, where one is expensive, and ten is expensive."

"Technical support is a paid service, and which subscription you have is dependent on that. You must pay one of them, and it ranges from $15,000 to $25,000 per year."

More AWS Glue pricing and cost advice

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

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

12%

Manufacturing Company

Government

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	6
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	4

Questions from the Community

How do you select the right cloud ETL tool?

AWS Glue and Azure Data factory for ELT best performance cloud services.

See all answers

How does Talend Open Studio compare with AWS Glue?

We reviewed AWS Glue before choosing Talend Open Studio. AWS Glue is the managed ETL (extract, transform, and load) from Amazon Web Services. AWS Glue enables AWS users to create and manage jobs in...

See all answers

What are the most common use cases for AWS Glue?

AWS Glue's main use case is for allowing users to discover, prepare, move, and integrate data from multiple sources. The product lets you use this data for analytics, application development, or ma...

See all answers

What do you like most about Oracle Data Integrator Cloud Service?

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

See all answers

What needs improvement with Oracle Data Integrator Cloud Service?

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 str...

See all answers

What is your primary use case for Oracle Data Integrator Cloud Service?

I have experience working with Korean Telecom (Katie) on various projects involving data integration, especially with Oracle databases. These projects included tasks such as data collection, ETL (E...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 31% of the time

SSIS vs AWS Glue

Compared 6% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 6% of the time

Palantir Foundry vs AWS Glue

Compared 5% of the time

SnapLogic vs AWS Glue

Compared 5% of the time

More AWS Glue Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Data Integrator Cloud Service

Compared 100% of the time

More Oracle Data Integrator Cloud Service Competitors

Product Reports

Buyer's Guide

AWS Glue

October 2025

Download AWS Glue product report

Buyer's Guide

Oracle Data Integrator Cloud Service

September 2025

Oracle Data Integrator Cloud Service report

Download Oracle Data Integrator Cloud Service product report

Overview

AWS Glue is a serverless cloud data integration tool that facilitates the discovery, preparation, movement, and integration of data from multiple sources for machine learning (ML), analytics, and application development. The solution includes additional productivity and data ops tooling for running jobs, implementing business workflows, and authoring.

AWS Glue allows users to connect to more than 70 diverse data sources and manage data in a centralized data catalog. The solution facilitates visual creation, running, and monitoring of extract, transform, and load (ETL) pipelines to load data into users' data lakes. This Amazon product seamlessly integrates with other native applications of the brand and allows users to search and query cataloged data using Amazon EMR, Amazon Athena, and Amazon Redshift Spectrum.

The solution also utilizes application programming interface (API) operations to transform users' data, create runtime logs, store job logic, and create notifications for monitoring job runs. The console of AWS Glue connects all of these services into a managed application, facilitating the monitoring and operational processes. The solution also performs provisioning and management of the resources required to run users' workloads in order to minimize manual work time for organizations.

AWS Glue Features

AWS Glue groups its features into four categories - discover, prepare, integrate, and transform. Within those groups are the following features:

Automatic schema discovery: AWS Glue crawlers connect to the organization's source or target data source through a prioritized list of classifiers to determine the schema for users' data. This feature creates metadata in companies' AWS Glue Data Catalog.
Schemas for data stream management: The AWS Glue Schema Registry enables users to validate and control the evolution of streaming data through registered Apache Avro schemas for no additional charge.
Automatic scaling based on workload: This feature dynamically scales resources up and down based on workload. The feature controls job resources, removing them depending on how much the workload can be split up.
FindMatches: This feature is for machine learning-based data deduplication and cleansing, and works by finding records that are imperfect matches of each other to remove useless data copies.
Edit, debug, and test ETL code: This feature helps users who have chosen to interactively develop their ETL code by providing development endpoints for editing, debugging, and testing the code it generates for them.
AWS Glue DataBrew: An interactive, point-and-click visual interface for specialists to clean and normalize data without the need to write any code.
AWS Glue Interactive Sessions: This feature simplifies the development of data integration jobs by enabling data engineers to interactively prepare and explore data.
AWS Glue Studio Job Notebooks: This AWS Glue feature provides serverless notebooks with minimal setup, allowing developers to start working in a timely manner.
Complex ETL pipeline building: This feature allows the product to be invoked on a schedule, on demand, or based on an event, allowing users to start multiple jobs in parallel or specify dependencies to build complex ETL pipelines.
AWS Glue Studio: This AWS Glue feature allows users to visually transform data through a drag-and-drop interface. The product automatically generates the code for ETL processes for users' data.

AWS Glue Benefits

AWS Glue offers a wide range of benefits for its users. These benefits include:

Users of other AWS products can easily onboard with AWS Glue, as it is integrated across a wide range of the company's services.
The solution is serverless, which allows for a lower total cost of ownership.
AWS Glue offers more power for users, as it automates much of the effort in building, maintaining, and running ETL jobs.
The product allows customers to easily discover and search across all their AWS datasets through AWS Glue Data Catalog.
AWS Glue does not require additional payment for managing and enforcing schemas for data streams.
The solution facilitates the authority of scalable ETL jobs for beginners and non-coding experts through a drag-and-drop interface.

Reviews from Real Users

Mustapha A., a cloud data engineer at Jems Groupe, likes AWS Glue because it is a product that is great for serverless data transformations.

Liana I., CEO at Quark Technologies SRL, describes AWS Glue as a highly scalable, reliable, and beneficial pay-as-you-go pricing model.

Amazon Web Services (AWS)

Oracle Data Integrator Cloud Service provides pushdown data processing; high performance ETL with less data movement which is best for the Cloud. Oracle Data Integrator Cloud Service executes data transformations where the data lies without having to copy data unnecessarily to remote locations.

Oracle

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Amplifon

Buyer's Guide

AWS Glue vs. Oracle Data Integrator Cloud Service

September 2025

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