AWS Glue vs Informatica PowerExchange comparison

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Amazon Web Services (AWS) Logo
12,012 views|8,420 comparisons
92% willing to recommend
Informatica Logo
2,714 views|2,036 comparisons
88% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Glue and Informatica PowerExchange 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. Informatica PowerExchange Report (Updated: March 2024).
767,995 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
"AWS Glue is quite better than other tools, but you have to learn it properly before you start using it.""I appreciate AWS Glue for its cost-effectiveness.""I like its integration and ability to handle all data-related tasks.""The most valuable feature of AWS Glue is scalability.""The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.""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 a stable and scalable solution.""It's fairly straightforward as a product; it's not very complicated."

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"The product’s flexibility is valuable.""It is a scalable and versatile solution.""The product's initial setup phase was not complex. The tool is easy to install onto any of the servers, and you can integrate it.""The scalability is excellent.""This product is easy to install and it can be done in a few hours.""The main benefit of PowerExchange is its native real-time capabilities. Competing tools are counting on third-party packages or Oracle to offer real-time capabilities. However, Informatica has a native ability to scan the data on the file system level and capture the changes almost instantly when I push it to the consumers. The solution has a powerful built-in replication engine.""Overall, it's a good tool. It's currently number one on the market. It pretty much has all the necessary capabilities to pull the incremental data from the source system, technically speaking.""It is easy to integrate the solution with other tools."

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Cons
"There is a learning curve to this tool.""In terms of improvement, the performance of AWS Glue could be faster.""The setup and installation is a bit complex without advanced knowledge or training.""I have encountered challenges with multi-region support.""On occasion, the solution's dashboard reports that a project failed due to runtime but it actually succeeded.""The solution's visual ETL tool is of no use for actual implementation.""We face performance issues when using AWS Glue for data transformation and integration.""It fails to handle massive databases acquired from various sources."

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"The solution needs better integration with other tools.""Pushdown optimization could be improved.""They should make it quick and easy for use of citizen data integration or for people or integrators developing at the customer side. They could be development teams within the business team. For them, the product owners can consider making it a little bit more seamless and a little bit more democratized.""V10.2 is very stable, but we are still struggling to make V10.5 stable. We found services that were down, and PowerExchange stopped working.""The solution could be made more user-friendly. The configurations are also quite difficult.""The one place where it could be improved is definitely pricing. That's a very big problem. It depends product to product, but pricing is an issue.""Apache Spark has a machine learning algorithm, an area where Informatica PowerExchange lacks.""The connectivity with T24 core banking could 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."
  • "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."
  • "The overall cost of AWS Glue could be better. It cost approximately $1,000 a month. There is paid support available from AWS Glue."
  • More AWS Glue Pricing and Cost Advice →

  • "An annual package license fee is required."
  • "The cost of PowerExchange is reasonable. It does not rely on complicated formulas or unrealistic equations. The pricing model is straightforward. There is one component, and real-time integration is included. Some other solutions require purchasing additional modules or third-party plugins for this capability."
  • "It's expensive. In fact, nobody would buy any product of Informatica if the price was the only consideration. It costs money, and it doesn't come cheap, but it provides value for money in many ways."
  • "There is a need to pay towards the licensing cost of the product. It is an expensive product."
  • "Many users don't prefer to use the product, considering the high costs attached to the licensing part of the solution."
  • "The product is not very expensive."
  • More Informatica PowerExchange 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: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… more »
    Top Answer:The product is not very expensive. However, the price can grow depending on the customer’s needs and the data feed they want. It depends on how many tables and ingestion pipelines the customers have… more »
    Top Answer:Informatica is now moving to the cloud. PowerExchange is not being promoted as it used to be. The product is not suitable for application integration. There are other tools in the market that are… more »
    Ranking
    1st
    Views
    12,012
    Comparisons
    8,420
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    21st
    out of 100 in Data Integration
    Views
    2,714
    Comparisons
    2,036
    Reviews
    9
    Average Words per Review
    654
    Rating
    7.9
    Comparisons
    Also Known As
    PowerExchange, Connectors
    Learn More
    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.

    Informatica PowerExchange Connectors provides high performance, out-of-the-box connectivity without having to develop custom data access programs.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    ACH Food, BNSF Railway Company, Illinois State University
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company14%
    Manufacturing Company7%
    Insurance Company7%
    REVIEWERS
    Computer Software Company25%
    Insurance Company25%
    Comms Service Provider13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Insurance Company12%
    Computer Software Company12%
    Government7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business37%
    Midsize Enterprise11%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise8%
    Large Enterprise80%
    Buyer's Guide
    AWS Glue vs. Informatica PowerExchange
    March 2024
    Find out what your peers are saying about AWS Glue vs. Informatica PowerExchange and other solutions. Updated: March 2024.
    767,995 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica PowerExchange is ranked 21st in Data Integration with 19 reviews. AWS Glue is rated 7.8, while Informatica PowerExchange is rated 7.8. The top reviewer of AWS Glue writes "Provides serverless mechanism, easy data transformation and automated infrastructure management". On the other hand, the top reviewer of Informatica PowerExchange writes "Handles big data better than competitors". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Talend Open Studio, whereas Informatica PowerExchange is most compared with Informatica PowerCenter, Oracle GoldenGate, Azure Data Factory, SSIS and Qlik Replicate. See our AWS Glue vs. Informatica PowerExchange report.

    See our list of best Cloud Data Integration vendors.

    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.