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AWS Glue vs Qlik Replicate comparison

Amazon Web Services (AWS) and Qlik are both solutions in the Cloud Data Integration category. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Qlik users who would recommend it.

AWS Glue

Read 46 AWS Glue reviews

9,512 Views
6,902 Comparison Views

91% willing to recommend

Qlik Replicate

Read 16 Qlik Replicate reviews

4,729 Views
3,970 Comparison Views

100% willing to recommend

AWS Glue

Qlik Replicate

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between AWS Glue and Qlik Replicate 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. Qlik Replicate Report (Updated: December 2024).

Buyer's Guide

AWS Glue vs. Qlik Replicate

December 2024

Download the complete report

Helped 824,067 peers since 2012

Categories and Ranking

AWS Glue

Average Rating

7.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Integration (1st)

Qlik Replicate

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (15th)

Featured Reviews

Ajaykumar Myana

Senior Software Developer at a computer software company with 10,001+ employees

Provides serverless mechanism, easy data transformation and automated infrastructure management

We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure. This allowed us to focus on the code and application logic without concerns about scaling, CPU management, or handling fluctuations in flow. The serverless nature of Glue jobs relieved us from these infrastructure-related worries.

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KrishnaBaddam

Presales Manager at Artha Solutions

Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships

Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.

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

"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

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

"The solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs."

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

"The most valuable feature of AWS Glue is its ease of use and good documentation. Additionally, we can do all the transformations that we need."

"It is a stable and scalable solution."

"We have found it beneficial when moving data from one source to another."

More AWS Glue pros

"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."

"A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product."

"Support has been great."

"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."

"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."

"Great with replicating and updating records."

"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."

"It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach."

More Qlik Replicate pros

Cons

"AWS Glue should be more reliable and faster in processing. Enhancing the speed of data processing would be beneficial."

"The drawbacks associated with the product stem from the fact that, based on the data volume, it can become very costly."

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

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

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

"The point for improvement in AWS Glue would be the dynamic allocation of resources while utilizing Lambda functions."

"There could be an enhanced way of managing pure metadata management or data cataloging."

More AWS Glue cons

"Some features on the graphical user interface are clunky."

"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."

"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."

"It's not possible to replicate the QVC files in data analytics."

"The product should improve its licensing limitation."

"The disadvantage is people are not going for this license because it is not marketed properly."

"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."

"In the next release, I would like to see closer integration with data catalyst."

More Qlik Replicate cons

Pricing and Cost Advice

"AWS Glue is a high-priced solution that bills the client $150,000 to $250,000 annually."

"I rate the product's pricing a five on a scale of one to ten, where one is a high price, and ten is a low price."

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

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

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

"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."

"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."

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

More AWS Glue pricing and cost advice

"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."

"Pricing for this solution is very reasonable."

"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."

"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."

"Qlik Replicate is not expensive, compared to GoldenGate."

"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

13%

Manufacturing Company

Insurance Company

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

11%

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.

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 Qlik Replicate?

The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...

See all answers

What needs improvement with Qlik Replicate?

Some features on the graphical user interface are clunky. Accessing certain functions like replicating from a table after a specific date requires obscure key combinations, which could be made more...

See all answers

What is your primary use case for Qlik Replicate?

The primary use case is using Qlik Replicate to interface with DB2, allowing for efficient data replication from various sources into a common one or other destinations. It is particularly benefici...

See all answers

Comparisons

AWS Database Migration Service vs AWS Glue

Compared 35% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs AWS Glue

Compared 7% of the time

Informatica PowerCenter vs AWS Glue

Compared 6% of the time

SSIS vs AWS Glue

Compared 5% of the time

Talend Open Studio vs AWS Glue

Compared 4% of the time

More AWS Glue Competitors

Oracle GoldenGate vs Qlik Replicate

Compared 18% of the time

AWS Database Migration Service vs Qlik Replicate

Compared 18% of the time

Qlik Compose vs Qlik Replicate

Compared 12% of the time

Azure Data Factory vs Qlik Replicate

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Replicate

Compared 2% of the time

More Qlik Replicate Competitors

Product Reports

Buyer's Guide

AWS Glue

December 2024

Download AWS Glue product report

Buyer's Guide

Qlik Replicate

December 2024

Download Qlik Replicate product report

Also Known As

No data available

Replicate, Qlik Replicate

Learn More

Amazon Web Services (AWS)

Qlik

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.

Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.

Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

Sample Customers

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

American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare

Buyer's Guide

AWS Glue vs. Qlik Replicate

December 2024

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