AWS Glue vs SharePlex comparison

Amazon Web Services (AWS) and Quest Software are both solutions in the Cloud Data Integration category. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Quest Software users who would recommend it.

AWS Glue

Read 50 AWS Glue reviews

9,190 Views
5,698 Comparison Views

90% willing to recommend

SharePlex

Read 5 SharePlex reviews

1,458 Views
1,006 Comparison Views

100% willing to recommend

AWS Glue

SharePlex

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Executive Summary

We performed a comparison between AWS Glue and SharePlex based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

AWS Glue vs. SharePlex

July 2025

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Helped 865,484 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

6.9

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

SharePlex

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Data Integration (47th)

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.

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Kristopher Wells

Oracle DBA at Broadridge Financial Solutions, Inc.

It reduces the downtime and migration time exponentially

I would rate SharePlex's high availability, and disaster recovery features highly. It works as advertised in terms of rapid fill-over and switch-over opportunities. It reduces the migration time for a multi-terabyte database to an hour or less because it performs real-time replication. SharePlex reduces downtime and migration time exponentially. Something that could take 12 to 24 hours is cut down to one to two hours. By the time you start to migrate, the only remaining replication is a slight difference in data from the point when SharePlex has shut down, and the application has to also switch over to the new database. It allowed the company to replicate data more transparently. Some of the business executives probably don't even know it's there. It works 100 percent of the time, with little downtime or problems. It provides what is needed. There's little concern about whether or not it functions. It's allowed the company to achieve its objectives with its clients, reducing and minimizing downtime for substantial migrations and upgrades. It can reduce hardware and storage costs, but my company doesn't utilize it with high-availability architecture.

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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 integrates well with other AWS products or services."

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

"AWS Glue is a stable and easy-to-use solution."

"Glue is a NoSQL-based data ETL tool that has some advantages over IIS and ISAs."

"Data catalog and triggers are the two best features for me. AWS Glue has its own data catalog, which makes it great and really easy to use. Triggers are also really good for scheduling the ETL process."

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

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

"The most valuable features currently are glue studio, jobs, and triggers."

More AWS Glue pros

"The core features of the solution we like are the reliability of the data transfer and the accuracy of data read and write. The stability of the solution is also excellent."

"I like SharePlex's Compare and Repair tool."

"The core replication and its performance. Performance is crucial, and SharePlex is by far the fastest. The way it handles replication to multiple targets along with basic filtering, as well as from multiple sources to a single target, is very efficient."

"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."

"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."

Cons

"Setting up pipelines is challenging, especially with version control and testing requirements."

"I would like to see a more robust interface on the no-code side. This would be nice to be able to split cells."

"The process of entering environment variables in AWS Glue requires navigating to a different page, which could be streamlined."

"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."

"The product is expensive for data streaming. This area 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."

"One area that could be improved is the ETL view. The drag-and-drop interface is not as user-friendly as some other ETL tools."

"Currently, it supports only two languages in the background: Python and Scala. From our customization point of view, it would be helpful if it can also support Java in the background."

More AWS Glue cons

"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."

"The reporting features need improvement. It would be very good for users to have a clear understanding of the status of replication."

"For its function in relation to replication (i.e. filtering), I'd give it a six or seven out of 10. GoldenGate has much more functionality by comparison."

"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."

"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."

Pricing and Cost Advice

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

"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."

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

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

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

"It is not expensive. AWS Glue works on the serverless architecture. We get charged for the time the server is up. For our use case, we have to use it once in a day, and it is not expensive for us."

"AWS Glue uses a pay-as-you-go approach which is helpful. The price of the overall solution is low and is a great advantage."

More AWS Glue pricing and cost advice

"It is not as expensive as Oracle GoldenGate and has worked really well within our budgets."

"It's really good value for the money. There are some things they could improve on, but in terms of the pricing, features, and support, as a holistic package, we are not thinking of anything else at this point in time."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

20%

Computer Software Company

10%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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 5% of the time

SnapLogic vs AWS Glue

Compared 5% of the time

Palantir Foundry vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Oracle GoldenGate vs SharePlex

Compared 58% of the time

Qlik Replicate vs SharePlex

Compared 16% of the time

AWS Database Migration Service vs SharePlex

Compared 10% of the time

Fivetran vs SharePlex

Compared 8% of the time

IBM App Connect vs SharePlex

Compared 8% of the time

More SharePlex Competitors

Product Reports

Buyer's Guide

AWS Glue

August 2025

Download AWS Glue product report

Buyer's Guide

SharePlex

August 2025

Download SharePlex product report

Also Known As

No data available

Dell SharePlex, SharePlex

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)

SharePlex delivers robust database replication and migration capabilities, emphasizing performance, synchronization, and data integrity management. Supporting high availability and real-time data syncing, it serves organizations handling vast transaction volumes, especially in IoT data processing.

SharePlex offers reliable data transfer and efficient multi-target replication. Its features like Compare and Repair utilities assist in maintaining data consistency. With PEP fostering scalability for large transactions, it caters to businesses aiming to cut down migration windows and minimize outages. Users employ SharePlex in real-time syncing and failover scenarios across data centers, crucial for handling extensive transaction data during migrations or upgrades.

What are SharePlex's key features?

Core Replication: Ensures reliable data synchronization across multiple targets.
Data Integrity Management: Maintains accuracy during reading and writing processes.
Compare and Repair Utilities: Facilitate data consistency checks and fixes.
PEP: Enhances performance for large transaction volumes.

Why consider SharePlex for your database needs?

Scalability: Supports large-scale transactions with efficiency.
Minimized Downtime: Provides continuous data availability during operations.
Business Continuity: Enables seamless failover and data center transitions.
Real-time Syncing: Supports time-sensitive data processing requirements.

Organizations in sectors like finance and telecommunications implement SharePlex to maintain uninterrupted operations and ensure quick recovery times. By facilitating database migrations to cloud platforms like AWS, they achieve reduced downtime and enhanced operational efficiency, catering to the rigorous demands of data-driven industries.

Quest Software

Sample Customers

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

Bodybuilding.com, Priceline.com, Ameco Beijing, Viasat, SK Broadband

Buyer's Guide

AWS Glue vs. SharePlex

July 2025

Free Report: AWS Glue vs. SharePlex

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