AWS Database Migration Service vs Qlik Compose comparison

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Amazon Web Services (AWS) Logo
7,645 views|6,247 comparisons
88% willing to recommend
Qlik Logo
2,092 views|1,579 comparisons
81% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Database Migration Service and Qlik Compose 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 Database Migration Service vs. Qlik Compose Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"For our simple requirement of migration, DMS is just a typical AWS RDS with an IPSec tunnel to Oracle. The most valuable features for us are the networking capabilities like VPCs and VPNs.""This solution is very good at mini-batch processing.""The process is now simplified because there won't be maintenance. Usually we can take a snapshot of the number I need. We can automate the backup snapshots and we can restore it very quickly. We get many benefits from the application.""Support is helpful.""I am very impressed by the scalability of AWS Database Migration Service.""It's pretty useful when we need to migrate something big from a different type of database that AWS Data Migration Services supports.""As the solution is on the cloud, we don't have to worry about the maintenance of software.""I like that I can focus on the logic and I don't have to worry about the administration stuff. AWS handles that for me."

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"The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.""Qlik Compose is good enough. It is user-friendly and intuitive.""I have found it to be a very good, stable, and strong product.""The technical support is very good. I rate the technical support a ten out of ten.""I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years.""It can scale.""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.""There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."

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Cons
"There is no connectivity to the source database or the target database.""The initial setup can be difficult for beginners in AWS Database Migration Service. You will need the training to complete it.""There are a set of complexities and challenges when a user wants to integrate AWS products with Microsoft products.""As a solution, the better thing is if more platforms come with direct compatibility, like connecting to different data sources. The basic problem I faced the most was while transferring and reading data from Excel. So, one time, I found that all the components I had declared in my scripts were able to take it. And after some patching happens, it is not able to support that. Again, we need to update the version of Excel. So, it's not like a plug-in type place where you have done the solution and are confident that it will work. So, this is an area of improvement.""AWS Database Migration Service can become complex when testing. Other solutions, such as Microsoft Azure makes it easy to do. There are more steps to complete tasks in AWS Database Migration Service than in Microsoft Azure.""Whatever solution worked today can not be reused in the next migration.""One area that AWS DMS can improve on is its conversion of data types. For example, in Oracle, you have a data type called RAW, but in PostgreSQL there is no such thing. Thus, AWS DMS doesn't know what type I want to use when migrating from Oracle to PostgreSQL, and when performing the migration, AWS DMS changed the RAW data type to the byte data type, which isn't what I wanted.""What needs improvement in AWS Database Migration Service is that it lacks a log file validation feature. If the solution could provide more details about a particular transaction, that would be helpful. The stability of AWS Database Migration Service for online CDC records also needs to be improved."

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"I believe that visual data flow management and the transformation function should be improved.""My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working.""Qlik's ETL and data transformation could be better.""There could be more customization options.""There is some scope for improvement around the documentation, and a better UI would definitely help.""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'd like to have access to more developer training materials.""It would be better if the first level of technical support were a bit more technically knowledgeable to solve the problem. I think they could also improve the injection of custom scripts. It is pretty difficult to add additional scripts. If the modeling doesn't give you what you want, and you want to change the script generated by the modeling, it is a bit more challenging than in most other products. It is very good with standard form type systems, but if you get a more complicated data paradigm, it tends to struggle with transforming that into a model."

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Pricing and Cost Advice
  • "The pricing can be better and it should be more competitive."
  • "Pricing can be improved."
  • "Pricing for the solution is reasonable, but could still be reduced."
  • "Cost is the only factor that is challenging."
  • "AWS Database Migration Service is the least expensive solution, but is still expensive."
  • "It's typically a pay-for-what-you-use kind of model, and most of the cost is based on the instance class for the replication instance."
  • "The pricing is per hour, though I do not have the exact figures. If you have specific questions about the service, a personal support team from Amazon is available, but this will bring in additional costs."
  • "AWS Database Migration Service is very inexpensive."
  • More AWS Database Migration Service Pricing and Cost Advice →

  • "On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
  • "The price of the solution is expensive."
  • "While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
  • More Qlik Compose Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: As with all AWS products, you are given very useful documentation with AWS Database Migration Service. Before we started using this product, we went over it and we were able to learn the basics and… more »
    Top Answer: My current company started using AWS Database Migration Service upon my recommendation, and I continue telling people how good of a product it is. However, users should keep in mind a few things… more »
    Top Answer: Compared to similar solutions, AWS Database Migration Service falls somewhere in the middle price-wise, at least from my experience. This being said, it is not a very affordable solution, especially… more »
    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 cubes… more »
    Top Answer:The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.
    Top Answer:While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.
    Ranking
    2nd
    Views
    7,645
    Comparisons
    6,247
    Reviews
    20
    Average Words per Review
    609
    Rating
    8.0
    20th
    out of 100 in Data Integration
    Views
    2,092
    Comparisons
    1,579
    Reviews
    10
    Average Words per Review
    460
    Rating
    7.7
    Comparisons
    Also Known As
    AWS Data Migration Service
    Compose, Attunity Compose
    Learn More
    Overview

    AWS Database Migration Service, also known as AWS DMS, is a cloud service that facilitates the migration of relational databases, NoSQL databases, data warehouses, and other types of data stores. The product can be used to migrate users' data into the AWS Cloud or between combinations of on-premises and cloud setups. The solution allows migration between a wide variety of sources and target endpoints; the only requirement is that one of the endpoints has to be an AWS service. AWS DMS cannot be used to migrate from an on-premises database to another on-premises database.

    AWS Database Migration Service allows users to perform one-time migrations, as well as replications of ongoing changes to keep sources and targets in sync. Organizations can utilize the AWS Schema Conversion Tool to translate their database schema to a new platform and then use AWS DMS to migrate the data. The product offers cost efficiency as a part of the AWS Cloud, as well as speed to market, flexibility, and security.

    The main use cases of AWS Database Migration Service include:

    • Migrating from legacy or on-premises databases to managed cloud services through a simplified migration process.

    • Reliable replication of backup files to minimize downtime and data loss.

    • Improvement of integration through building of data lakes and performing real-time processing on change data from users' data stores.

    AWS Database Migration Service Components

    AWS Database Migration Service consists of various components which function together to achieve users’ data migration. A migration on AWS DMS is structured in three levels: a replication instance, source and target endpoints, and a replication task. The components include the following actions:

    • Replication instance: AWS Database Migration Service provides users with a variety of replication instances, allowing them to select the optimal configuration for their use case. Depending on the instance class an organization selects, their replication instance provides a different amount of data storage.

    • Endpoint: AWS DMS uses an endpoint to access users' source or target data stores. The connection information is different and depends on the specific data store, but it usually consists of the following information: endpoint type, engine type, server name, port, encryption, and credentials. This information can easily be managed through the AWS DMS console.

    • Replication tasks: AWS Database Migration Service replication tasks can be used to move a set of data from the source endpoint to the target endpoint. The creation of a replication task is the last required step before starting a migration. Each replication task requires the following settings to be set: replication instance, source endpoint, target endpoint, and migration type options.

    • Ongoing replication or change data capture (CDC): AWS DMS also has the capacity to capture ongoing changes to the source that is stored while users migrate their data to a target.

    • Schema and code migration: The product requires assistance from tools such as MySQL Workbench, pgAdmin III, and Oracle SQL Developer to perform schema or code conversion, as it cannot do it on its own.

    AWS Database Migration Service Benefits

    AWS Database Migration Service offers its users a wide range of benefits. Among them are the following:

    • The solution ensures minimal downtime, as it continuously replicates the changes to the user’s source database during migration.

    • AWS DMS provides users with flexibility, as it supports many commonly used databases, including commercial and open-source ones.

    • The product is user friendly, as it offers an easy set of tasks in the AWS Management Console.

    • Users of Aurora, Redshift, DocumentDB, and DynamoDB can benefit from the free use of AWS DMS.

    • AWS Database Migration Service is very reliable because it is a self-healing service that automatically restarts in cases of interruptions.

    • The product supports both homogenous migrations and heterogenous migrations.

    • AWS DMS accelerates business growth, as it scales businesses at an affordable price.

    Reviews from Real Users

    Vishal S., an infrastructure lead at a computer software company, likes AWS Database Migration Service because it is easy to use and set up.

    Vinod K., a data analyst at AIMLEAP, describes AWS DMS as an easy solution to save and extract data.

    Qlik Sense is a powerful business intelligence tool that offers a range of features to help organizations make faster and more informed decisions. Its primary use cases include operational and financial dashboards, self-service reporting, and centralized access to cross-functional reports. The solution is praised for its mobile platform, ease of use, data-sharing capabilities, and extensibility. 

    Qlik Sense has helped organizations improve data literacy, reduce time consumed in complex reports, and provide widely available MI to senior stakeholders. It also enables self-service analytics, improves data quality and governance, enhances collaboration, and reduces costs.

    Sample Customers
    Veoci, Trimble, Nasdaq, shaadi.com, Hotelbeds, SysAid, Verizon, Expedia, Pega
    Poly-Wood
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Financial Services Firm25%
    Insurance Company8%
    Real Estate/Law Firm8%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company14%
    Manufacturing Company7%
    Government7%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Manufacturing Company12%
    Computer Software Company10%
    Energy/Utilities Company6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise27%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    REVIEWERS
    Small Business36%
    Midsize Enterprise9%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise70%
    Buyer's Guide
    AWS Database Migration Service vs. Qlik Compose
    March 2024
    Find out what your peers are saying about AWS Database Migration Service vs. Qlik Compose and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    AWS Database Migration Service is ranked 2nd in Cloud Data Integration with 27 reviews while Qlik Compose is ranked 20th in Data Integration with 12 reviews. AWS Database Migration Service is rated 7.8, while Qlik Compose is rated 7.6. The top reviewer of AWS Database Migration Service writes "A cloud solution for live replication but has stability issues". On the other hand, the top reviewer of Qlik Compose writes "Easy matching and reconciliation of data". AWS Database Migration Service is most compared with AWS Glue, Oracle GoldenGate, Qlik Replicate, Fivetran and Confluent, whereas Qlik Compose is most compared with Qlik Replicate, Talend Open Studio, Azure Data Factory, SSIS and Informatica PowerCenter. See our AWS Database Migration Service vs. Qlik Compose report.

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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.