AWS Glue vs Confluent comparison

Read 23 Confluent reviews

4,435 Views
3,336 Comparison Views

95% willing to recommend

AWS Glue

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Apr 20, 2025

Confluent and AWS Glue compete in data integration and processing. AWS Glue has an edge due to its comprehensive features despite Confluent's favorable pricing and support.

Features: Confluent supports seamless real-time data streaming, a wide range of multi-cloud deployment options, and integration with diverse data sources. AWS Glue provides robust ETL processes, a comprehensive data catalog, and serverless operations, making it effective for big data tasks.

Room for Improvement: Confluent could enhance its infrastructure management to simplify deployments, optimize costs for broader functionality, and expand its real-time analytics capabilities. AWS Glue might benefit from improving the flexibility of its ETL configurations, enriching documentation for advanced integrations, and optimizing costs for smaller-scale operations.

Ease of Deployment and Customer Service: AWS Glue leverages Amazon's cloud infrastructure, providing an easy serverless model and strong support for problem resolution. Confluent offers robust deployment capabilities but requires more infrastructure management from clients. Confluent's customer support and documentation receive positive feedback, providing a reliable service experience.

Pricing and ROI: Confluent's flexible pricing suits data streaming organizations, offering strong ROI for such businesses. AWS Glue's scalable pricing justifies higher upfront costs with its extensive range of features, appealing for long-term data processing needs.

To learn more, read our detailed AWS Glue vs. Confluent Report (Updated: April 2025).

Download the complete report

AWS Glue vs. Confluent

April 2025

Helped 850,671 peers since 2012

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

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

Confluent

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Streaming Analytics (4th)

Featured Reviews

Muthuvel Sivaraman

AVP at a manufacturing company with 10,001+ employees

Handles a huge volume of data and is serverless, but it can be considered costly by some users

We use Amazon's services to provide technical support for the product. If you want to have support, Oracle and others offer a single support, and other tools have a direct support window. For Amazon, we need to pay 10 percent of my billing amount for the tool to get support services. Whether to raise a support ticket or not is an issue since ten percent is a huge amount. My company ends up using all the options without help from support. It is very difficult for any common man to understand why there is a need to pay ten percent for support. If I find an issue in the product, and I need to get support from AWS to fix it, then I need to pay ten percent of the tool's bill amount to Amazon. AWS is a very tricky tool because everything is evolving nowadays. AWS engineers are getting hired from other places, and even after that, if I am not getting any technical support, then things will be very nasty. There are some good engineers who help users outside the normal support cycle, but it doesn't meet their needs. I rate the technical support a four out of ten.

Read full review

Gustavo-Barbosa Dos Santos

Software Architect at C&A Brasil

Has good technical support services and a valuable feature for real-time data streaming

Implementing Confluent's schema registry has significantly enhanced our organization's data quality assurance. It helps us understand the various requirements of multiple customers and validates the information for different versions. We can automate the tasks using Confluent Kafka. Thus, it guarantees us the data quality and maintains the integrity of message contracts.

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

"The most valuable feature of AWS Glue is scalability."

"AWS Glue is very quick to start without cold starts, unlike AWS Lambda."

"The most valuable feature of AWS Glue is that it provides a GUI format with a drag-and-drop feature."

"For ETL, I feel the performance is excellent."

"It is a very scalable solution."

"It is a stable and scalable solution."

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

"AWS Glue is a good solution for developers, they have the ability to write code in different languages and other software."

More AWS Glue pros

"The documentation process is fast with the tool."

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

"Confluent facilitates the messaging tasks with Kafka, streamlining our processes effectively."

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

"The design of the product is extremely well built and it is highly configurable."

"Kafka Connect framework is valuable for connecting to the various source systems where code doesn't need to be written."

"The client APIs are the most valuable feature."

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

More Confluent pros

Cons

"The solution could be cheaper. The price of the solution is an area that needs improvement."

"I am quite technical, yet when it comes to data pipelines, I prefer using GUIs over code-based calls. It might be easier with a different skill set."

"AWS Glue would be improved by making it easier to switch from single to multi-cloud."

"In the building and deployment aspects, there is room for improvement. The current process is a bit complicated and could benefit from being more user-friendly and simpler, which would help speed up the deployment process."

"AWS Glue is more costly compared to other tools like Airflow."

"We face performance issues when using AWS Glue for data transformation and integration."

"There should be more connectors for different databases."

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

More AWS Glue cons

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

"It could be more user-friendly and centralized. A way to reduce redundancy would be helpful."

"It could be improved by including a feature that automatically creates a new topic and puts failed messages."

"In Confluent, there could be a few more VPN options."

"I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team."

"The formatting aspect within the page can be improved and more powerful."

"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."

"We continuously face issues, such as Kafka being down and slow responses from the support team."

More Confluent cons

Pricing and Cost Advice

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

"I would rate the solution a six or seven on a scale of one to ten, with ten being very expensive. Specifically, I rate its pricing a six out of ten."

"AWS Glue is a paid service that doesn't come under the free trial of AWS."

"The current cost is around forty to fifty thousand a month."

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

"AWS Glue is quite costly, especially for small organizations."

"Its price is good. We pay as we go or based on the usage, which is a good thing for us because it is simple to forecast for the tool. It is good in terms of the financial planning of the company, and it is a good way to estimate the cost. It is also simple for our clients. In my opinion, it is one of the best tools in the market for ETL processes because of the fact that you pay as you use, which separates it from other big tools such as PowerCenter, Pentaho Data Integration, and Talend."

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

More AWS Glue pricing and cost advice

"The solution is cheaper than other products."

"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."

"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."

"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."

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

"Confluent is an expensive solution as we went for a three contract and it was very costly for us."

"It comes with a high cost."

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

More Confluent pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

850,671 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Government

Financial Services Firm

19%

Computer Software Company

16%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

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...

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...

What do you like most about Confluent?

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 to...

What is your experience regarding pricing and costs for Confluent?

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

What needs improvement with Confluent?

I am not very impressed by Confluent. We continuously face issues, such as Kafka being down and slow responses from the support team. The lack of easy access to the Confluent support team is also a...

AWS Database Migration Service vs AWS Glue

Comparisons

Compared 36% of the time

SSIS vs AWS Glue

Compared 5% of the time

SnapLogic vs AWS Glue

Compared 5% of the time

Oracle Integration Cloud Service vs AWS Glue

Compared 5% of the time

Fivetran vs AWS Glue

Compared 2% of the time

More AWS Glue Competitors

Amazon Kinesis vs Confluent

Compared 17% of the time

Databricks vs Confluent

Compared 9% of the time

Amazon MSK vs Confluent

Compared 9% of the time

Cribl vs Confluent

Compared 5% of the time

Palantir Foundry vs Confluent

Compared 4% of the time

More Confluent Competitors

Product Reports

Download AWS Glue product report

AWS Glue

May 2025

Download Confluent product report

April 2025

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)

Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka.

Confluent has integrated cutting-edge features that are designed to enhance these tasks:

Speed up application development and connectivity
Enable transformations through stream processing
Streamline business operations at scale
Adhere to strict architectural standards

Confluent is a more complete distribution of Kafka in that it enhances the integration possibilities of Kafka by introducing tools for managing and optimizing Kafka clusters while providing methods for making sure the streams are secure. Confluent supports publish-and-subscribe as well as the storing and processing of data within the streams. Kafka is easier to operate and build thanks to Confluent.

Confluent's software is available in three different varieties:

A free, open-source streaming platform that makes it simple to start using real-time data streams
An enterprise-grade version of the product with more administrative, ops, and monitoring tools
A premium cloud-based version.

Confluent Advantage Features

Confluent has many valuable key features. Some of the most useful ones include:

Multi-language
- Clients: C++, Python, Go, and .NET
- REST proxy: Can connect to Kafka from any connected network device
- Admin REST APIs: RESTful interface for performing administrator operations

Pre-built ecosystem
- Connectors: More than 100 supported connectors, including S3, Elastic, HDFS, JDBC
- MQTT proxy: Gain access to Kafka from MQTT gateways and devices
- Schema registry: Centralized database to guarantee data compatibility

Streaming database
- ksqlDB: Materialized views and real-time stream processing

GUI management
- Control panel: GUI for scalable Kafka management and monitoring
- Health+: Smart alerts and cloud-based control centers

DevOps automation that is flexible
- Confluent for Kubernetes: Complete API to deploy on Kubernetes
- Automated Ansible deployment on non-containerized environments

Dynamic performance
- Self-balancing clusters: Automated partition re-balancing across brokers in the cluster
- Tiered storage: Older Kafka data offloading to object storage with transparent access

Security that is enterprise-grade
- Role-based access control: Granular user/group access authorization
- Audit logs that are structured: Logs of user actions kept in dedicated Kafka topics
- Secret protection: Sensitive information is encrypted

Global resilience
- Linking clusters: A real-time, highly reliable, and consistent bridge across on-premises and cloud environments
- Multiple-region clusters: Single Kafka cluster with automated client failover distributed across multiple data centers
- Replicator: Asynchronous replication that is based on the Kafka Connect framework

Support
- Round the clock enterprise support from Kafka experts

Reviews from Real Users

Confluent stands out among its competitors for a number of reasons. Two major ones are its robust enterprise support and its open source option. PeerSpot users take note of the advantages of these features in their reviews:

Ravi B., a solutions architect at a tech services company, writes of the solution, “KSQL is a valuable feature, as is the Kafka Connect framework for connecting to the various source systems where you need not write the code. We get great support from Confluent because we're using the enterprise version and whenever there's a problem, they support us with fine-tuning and finding the root cause.”

Amit S., an IT consultant, notes, “The biggest benefit is that it is open source. You have the flexibility of opting or not opting for enterprise support, even though the tool itself is open source.” He adds, “The second benefit is it's very modern and built on Java and Scala. You can extend the features very well, and it doesn't take a lot of effort to do so.”

Sample Customers

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

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