We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
"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."
"The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"I have found it to be a very good, stable, and strong product."
"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."
"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 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."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"I believe that visual data flow management and the transformation function should be improved."
"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."
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.
AWS Glue is ranked 6th in Cloud Data Integration with 3 reviews while Qlik Compose is ranked 34th in Data Integration Tools with 2 reviews. AWS Glue is rated 7.6, while Qlik Compose is rated 6.0. The top reviewer of AWS Glue writes "Improved our time to implement a new ETL process and has a good price and scalability, but only works with AWS". On the other hand, the top reviewer of Qlik Compose writes "Excellent data integration but needs better scheduling and monitoring features". AWS Glue is most compared with Talend Open Studio, Informatica PowerCenter, SSIS, AWS Database Migration Service and IBM InfoSphere DataStage, whereas Qlik Compose is most compared with Qlik Replicate, Azure Data Factory, Palantir Foundry, Talend Open Studio and Oracle GoldenGate.
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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.