AWS Glue vs Rivery comparison

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AWS Glue

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Executive SummaryUpdated on Nov 8, 2026

AWS Glue and Rivery compete in the data integration space. AWS Glue appears to have an upper hand due to its extensive integration capabilities and real-time data processing.

Features: AWS Glue offers seamless integration with AWS services, automation, and scalability for real-time data processing. It supports custom scripts for data transformations and offers serverless functionality to optimize costs. Rivery provides a simple interface with strong documentation, versatile built-in and custom task flexibility, and robust connectors for numerous data sources.

Room for Improvement: AWS Glue has a steep learning curve and could benefit from clearer documentation and improved support for diverse transformations to handle cost issues with large data volumes. Rivery could enhance its graphical interfaces for easier understanding and adjust its pricing to become more accessible for smaller organizations.

Ease of Deployment and Customer Service: AWS Glue supports a broad range of deployment scenarios and is known for positive customer service experiences, though its support response times could be improved. Rivery offers straightforward deployment options that are user-friendly for less technically-skilled users, with customer support being highly regarded despite pricing concerns.

Pricing and ROI: AWS Glue uses a pay-as-you-go pricing model, which appeals to larger enterprises but requires careful cost management for intense data workflows. Rivery’s pricing can be steep for smaller firms, thus making it necessary to tailor packages carefully. Both solutions’ ROI depends significantly on specific organizational requirements and usage patterns.

To learn more, read our detailed AWS Glue vs. Rivery Report (Updated: November 2026).

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AWS Glue vs. Rivery

November 2026

Helped 920,939 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:

ROI

Sentiment score

5.9

Organizations find AWS Glue efficient and cost-effective despite overhead costs, though some consider alternatives due to budget constraints.

Sentiment score

5.1

Rivery improves productivity and efficiency, reducing manual work and cutting costs by enabling independent project management with fewer employees.

I advocate using Glue in such cases.

reviewer2322996

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

For more quotes and insights, download the AWS Glue report

It saved my team time and really reduced manual work, so overall, it improved efficiency.

reviewer2799567

software tester at a consultancy with 11-50 employees

By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.

reviewer2799906

Researcher at a educational organization with 11-50 employees

For more quotes and insights, download the Rivery report

Customer Service

Sentiment score

6.5

AWS Glue customer service is praised for responsiveness and effectiveness, with mixed feedback on support speed, costs, and consistency.

Sentiment score

6.8

Rivery's support is highly rated for personalized assistance, quick feedback, and encouraging user learning despite occasional technical challenges.

Upgrades occur every four months, and new developments coincide with version updates.

For more quotes and insights, download the AWS Glue report

Principal Consultant at a retailer with 1,001-5,000 employees

For complex Glue-related problems such as job failures or permission issues, their documentation is good, but having direct access to support helps cut down troubleshooting time significantly.

Sridivya Chillappa

application security engineer at Hyperspace IT India

One significant challenge was implementing custom-built Python scripts using Rivery for transformations.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Customer support is great; they are answering really fast.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

The customer support for Rivery is excellent.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

Scalability Issues

Sentiment score

7.8

AWS Glue is highly scalable and serverless, praised for easy resource management, but needs better parallel computation.

Sentiment score

7.0

Rivery scales effectively, integrating diverse data sources, supporting increased use, and connecting to databases and tools like Snowflake and Tableau.

It is beneficial to upgrade jobs, and we conduct extensive testing in development before migrating to production.

Principal Consultant at a retailer with 1,001-5,000 employees

It can easily handle data from one terabyte to 100 terabytes or more, scaling nicely with larger datasets.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

It has handled growing data volumes and additional pipelines without major issues.

reviewer2799567

software tester at a consultancy with 11-50 employees

The focus is on the ability to connect to different sources and to put all the data together.

reviewer2799618

Data Analyst at a computer software company with 11-50 employees

For more quotes and insights, download the Rivery report

Stability Issues

Sentiment score

7.9

AWS Glue is stable and reliable with minor issues, scaling well, and efficient due to serverless architecture and tool integration.

Sentiment score

8.4

Rivery is stable and user-friendly, offering reliable performance with excellent support, despite occasional glitches and past slowdowns with large datasets.

AWS Glue is highly stable, and I would rate its stability as nine.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

I found the tool very easy to use, allowing me to gain a lot of insights.

reviewer2799618

Data Analyst at a computer software company with 11-50 employees

The excellent support we received from Rivery team contributes to this perception.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Room For Improvement

AWS Glue faces challenges with startup times, interface complexity, language limitations, cost, performance, integration, and multi-cloud compatibility.

Rivery needs better dependency analysis, user-friendly interface, AI integration, and competitive pricing with improved analytics and visualization.

Migrating jobs from version 3.0 to 4.0 can present compatibility issues.

Principal Consultant at a retailer with 1,001-5,000 employees

With AWS, I gather data from multiple sources, clean it up, normalize it, de-duplicate it, and make it presentable.

reviewer2322996

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

A more user-friendly and simpler process would help speed up the deployment process.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.

reviewer2799567

software tester at a consultancy with 11-50 employees

Agentic AI with open source tools can be used to build all configurations automatically for pipelines.

reviewer2799906

Researcher at a educational organization with 11-50 employees

One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.

For more quotes and insights, download the Rivery report

CDL at Ycotek

Setup Cost

AWS Glue offers flexible, efficient serverless architecture but can be costly and unpredictable, especially for smaller organizations.

Rivery's pricing is competitive but can be steep for small businesses, with complex integrations increasing costs significantly.

Costing depends on resource usage, and cost optimization may involve redesigning jobs for flexibility.

Principal Consultant at a retailer with 1,001-5,000 employees

AWS charges based on runtime, which can be quite pricey.

reviewer2322996

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

The smallest cost for a project is around €700, while the largest can reach up to €7,000 based on the scale of the usage.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

I found myself asking my stakeholder to make it only five times a day because it was really expensive.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

For more quotes and insights, download the Rivery report

Valuable Features

AWS Glue excels with its easy interface, scalable ETL processing, seamless AWS integration, affordability, and serverless architecture.

Rivery excels in seamless integration, user-friendly design, and efficient data processing, appealing to various technical skill levels.

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless.

Principal Consultant at a retailer with 1,001-5,000 employees

AWS Glue's most valuable features include its transformation capabilities, which provide data quality and shape for processing in ML or AI models.

For more quotes and insights, download the AWS Glue report

Python AWS & AI Expert at a tech consulting company

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

Sridivya Chillappa

application security engineer at Hyperspace IT India

Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.

Doron Matmoni

Manager, Application at a non-profit with 1,001-5,000 employees

The main benefit Rivery brought to my organization was the time we were able to save on development.

reviewer2799906

Researcher at a educational organization with 11-50 employees

Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.

Shmuel Milavski

Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.

For more quotes and insights, download the Rivery report

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

Rivery

Ranking in Cloud Data Integration

16th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (26th), Migration Tools (3rd), Cloud Migration (11th)

Mindshare comparison

As of November 2026, in the Cloud Data Integration category, the mindshare of AWS Glue is 7.4%, down from 12.7% compared to the previous year. The mindshare of Rivery is 1.5%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
AWS Glue	7.4%
Rivery	1.5%
Other	91.1%

Cloud Data Integration

Featured Reviews

The solution improves ETL performance but faces challenges with version upgrades

Principal Consultant at a retailer with 1,001-5,000 employees

For ETL, I feel the performance is excellent. If I create jobs in a standard way, the performance is great, and maintenance is also seamless. It is serverless, so I do not need to worry about other integrations. It runs on a serverless VM. Glue services from AWS are regularly upgraded with new properties and functions. We use PySpark and other frameworks, which help customize our ETL process in a standard way. During our process, we utilized the typical SQL ITIL process standard in Glue-oriented ETL services, which helped us improve performance and time. AWS running time, mostly during the morning, saved us time compared to the old ETL method. There are many email notifications once a job is successful or fails, and we get notifications using SES or AWS's Simple Notification Service. Glue is integrated with both email alerts, and we are responsible for managing the full data journey from end to end.

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Training has boosted custom ETL scripting and now debugging complex incremental loads needs work

CDL at Ycotek

The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.

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

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920,939 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Comms Service Provider

Computer Software Company

Comms Service Provider

20%

Construction Company

17%

Manufacturing Company

12%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	34

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

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 is your experience regarding pricing and costs for Rivery?

I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.

What needs improvement with Rivery?

I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...

What is your primary use case for Rivery?

My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.

AWS Database Migration Service vs AWS Glue

Comparisons

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Compared 5% of the time

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Compared 3% of the time

Stitch vs AWS Glue

Compared 2% of the time

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Compared 7% of the time

Alteryx One vs Rivery

Compared 6% of the time

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Compared 5% of the time

Upsolver vs Rivery

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Product Reports

Download AWS Glue product report

AWS Glue

November 2026

Download Rivery product report

October 2026

Overview

AWS Glue is a serverless data integration service offering seamless integration with AWS services like S3, Redshift, and Athena. Known for its flexibility with data formats and automation of ETL tasks, AWS Glue enhances data management and transformation.

AWS Glue facilitates seamless data extraction, transformation, and loading for businesses, integrating with key AWS services, allowing efficient data pipeline automation. It's valued for a user-friendly GUI, scalability, and cost-effectiveness, supporting PySpark for complex datasets and includes a robust data catalog, real-time backup capabilities, and code generation. Despite its strengths, improvements are needed in documentation, training, and broader programming language support. Users face challenges with its complex interface and integration with non-AWS products, driving demand for enhancements in its usability and performance.

What are AWS Glue's most important features?

Seamless AWS Integration: Connects effortlessly with services like S3, Redshift, and Athena.
Serverless Operation: Removes the need for infrastructure management.
Flexible Data Format Handling: Supports various data formats for comprehensive data management.
User-Friendly GUI: Simplifies the creation and management of ETL jobs.
Data Catalog: Provides an organized repository for metadata management.
Real-Time Data Backup: Ensures data integrity and availability.
Code Generation: Facilitates easy script generation for data processes.

What benefits or ROI should users look for in reviews?

Cost Efficiency: Reduced operational costs through serverless architecture.
High Performance: Efficient data processing and transformation capabilities.
Scalability: Adapts to businesses' evolving data demands.
Ease of Use: Intuitive interface allowing streamlined ETL workflows.
Automation: Simplified data pipeline tasks saving time and effort.

Businesses leverage AWS Glue in industries for ETL processes, data integration, and transformation. It is used to optimize data lakes or warehouses integration, enhancing data cataloging and real-time integration. Its serverless feature enables efficient data processing in sectors like finance and healthcare, where handling complex data-intensive tasks is crucial.

Amazon Web Services (AWS)

Rivery enhances automation with its built-in pipelines, seamless Snowflake integration, and flexible data management capabilities. It supports extensive connectivity and user-defined functions, aiding efficient data flow management.

Rivery provides a robust platform for automating data ingestion and transformation workflows, integrating effortlessly into data warehouses like Snowflake. Its user-friendly interface and extensive API connectivity simplify data extraction and flow, accommodating diverse needs with custom scripting and user-defined functions. Despite its strengths, improvements are desired in lineage, impact analysis, and advanced visualization, along with better orchestration and logging capabilities. Users also seek price adjustments for smaller organizations and integration with modern AI technologies to elevate analytical capabilities.

What features does Rivery offer?

Extensive Connectivity: Supports connecting to multiple data sources including social media and databases.
Automation: Built-in pipelines simplify data flow management and transformation.
Flexibility: Custom scripting allows tailored data processing.
Snowflake Integration: Seamless integration saves time and resources.
API Connectivity: Easy connection to various APIs enhances data sourcing.

What benefits and ROI should users consider?

Time Efficiency: Automates data workflows, reducing manual tasks.
Cost Monitoring: Effective tracking of expenses related to data processes.
Responsiveness: Support team ensures quick resolution of issues.
User-Friendliness: Intuitive interface facilitates ease of use.

In industries such as retail and finance, Rivery is crucial for managing ETL processes. Retail organizations use it for integrating data from sales channels and customer databases, driving targeted marketing strategies. Finance companies rely on its robust pipelines and Snowflake integration to streamline complex financial data transformations and enhance reporting accuracy.

Sample Customers

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

Information Not Available