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AWS Glue vs Qlik Compose comparison

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Cloud Data Integration
July 2022
Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
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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
"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 are the data catalog, including crawlers and tables, and Glue Studio, which means you don't have to use custom code.""It is AWS-integrated. There is end-to-end integration with the other AWS services. It is also user-friendly.""The key role for Glue is that it hosts our metadata before rolling out our actual data. This is the major advantage of using this solution and our clients client have been very satisfied with it.""Its user interface is quite good. You just need to choose some options to create a job in AWS Glue. The code-generation feature is also useful. If you don't want to customize it and simply want to read a file and store the data in the database, it can generate the code for you.""I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations.""The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."

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"I have found it to be a very good, stable, and strong product.""Qlik Compose is good enough. It is user-friendly and intuitive."

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Cons
"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.""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.""The crucial problem with AWS Glue is that it only works with AWS. It is not an agnostic tool like Pentaho. In PowerCenter, we can install the forms from Google and other vendors, but in the case of AWS Glue, we can only use AWS.""There should be more connectors for different databases.""It would be better if it were more user-friendly. The interesting thing we found is that it was a little strange at the beginning. The way Glue works is not very straightforward. After trying different things, for example, we used just the console to create jobs. Then we realized that things were not working as expected. After researching and learning more, we realized that even though the console creates the script for the ETL processes, you need to modify or write your own script in Spark to do everything you want it to do. For example, we are pulling data from our source database and our application database, which is in Aurora. From there, we are doing the ETL to transform the data and write the results into Redshift. But what was surprising is that it's almost like whatever you want to do, you can do it with Glue because you have the option to put together your own script. Even though there are many functionalities and many connections, you have the opportunity to write your own queries to do whatever transformations you need to do. It's a little deceiving that some options are supposed to work in a certain way when you set them up in the console, but then they are not exactly working the right way or not as expected. It would be better if they provided more examples and more documentation on options.""Overall, I consider the technical support to be fine, although the response time could be faster in certain cases.""If there's a cluster-related configuration, we have to make worker notes, which is quite a headache when processing a large amount of data.""There is a learning curve to this tool."

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"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails.""I believe that visual data flow management and the transformation function should be improved."

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Pricing and Cost Advice
  • "The pricing is a bit higher than other solutions like Athena and EC2. If the pricing becomes more scaled or flexible, it will be good because you have to pay 44 cents just for one DPU for an hour. If you increase DPUs to 5 or 10, the pricing gets multiplied. There are also some time limits like 0 to 10 minutes or 10 to 20 minutes. If the pricing is according to the minutes, it would be better because you have to limit your job to 10 minutes or 20 minutes."
  • "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."
  • "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."
  • "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."
  • "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."
  • More AWS Glue Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer: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… more »
    Top Answer:The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.
    Top Answer:There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for… more »
    Top Answer:I have found it to be a very good, stable, and strong product.
    Top Answer:I'm not sure of the exact cost structure of the solution. Potential users would have to reach out to the company directly to discuss pricing. My understanding, however, is that you only pay for… more »
    Ranking
    2nd
    Views
    17,894
    Comparisons
    14,654
    Reviews
    8
    Average Words per Review
    507
    Rating
    8.0
    41st
    Views
    3,171
    Comparisons
    2,308
    Reviews
    1
    Average Words per Review
    354
    Rating
    6.0
    Comparisons
    Also Known As
    Compose, Attunity Compose
    Learn More
    Overview

    AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can create and run an ETL job with a few clicks in the AWS Management Console. You simply point AWS Glue to your data stored on AWS, and AWS Glue discovers your data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, your data is immediately searchable, queryable, and available for ETL.

    Qlik Compose comes in two offerings: Qlik Compose for Data Warehouses and Qlik Compose for Data Lakes. Qlik Compose for Data Warehouse automates and streamlines the design, creation, loading, management, and update of data warehouses including Amazon Redshift, Azure Synapse, Google BigQuery, Snowflake and Oracle. Qlik Compose for Data Lakes automates the process of providing continuously updated, accurate, and trusted data to big data platforms like Apache Hadoop, Cloudera Customer Data Platform and Databricks Unified Data Analytics Platform.

    Offer
    Learn more about AWS Glue
    Learn more about Qlik Compose
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Poly-Wood
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company23%
    Media Company10%
    Financial Services Firm10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Computer Software Company27%
    Comms Service Provider13%
    Manufacturing Company8%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business9%
    Midsize Enterprise27%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise12%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise16%
    Large Enterprise68%
    Buyer's Guide
    Cloud Data Integration
    July 2022
    Find out what your peers are saying about MuleSoft, Amazon, Informatica and others in Cloud Data Integration. Updated: July 2022.
    620,068 professionals have used our research since 2012.

    AWS Glue is ranked 2nd in Cloud Data Integration with 9 reviews while Qlik Compose is ranked 41st in Data Integration Tools with 2 reviews. AWS Glue is rated 8.2, while Qlik Compose is rated 6.0. The top reviewer of AWS Glue writes "Easy to perform ETL on multiple data sources, and easy to use after you learn it". On the other hand, the top reviewer of Qlik Compose writes "It's an intuitive solution for doing basic transformations, but it cannot handle high volumes". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, Talend Open Studio, Informatica Cloud Data Integration and SSIS, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Palantir Foundry, WhereScape RED and Informatica PowerCenter.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.