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AWS Glue vs Informatica Cloud Data Integration comparison

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Amazon Web Services (AWS) Logo
AWS Glue
Read 37 AWS Glue reviews
11,729 views|8,292 comparisons
92% willing to recommend
Informatica Logo
Informatica Cloud Data Integration
Read 40 Informatica Cloud Data Integration reviews
3,500 views|2,815 comparisons
88% willing to recommend
Comparison Buyer's Guide
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Buyer's Guide
AWS Glue vs. Informatica Cloud Data Integration
March 2024
Executive Summary
Updated on Sep 6, 2022

We performed a comparison between AWS Glue and Informatica Cloud Data Integration based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: For the most part, users of both solutions feel they are easy and straightforward to deploy.
  • Features: AWS Glue can easily sync data from the source to the solution phase and users say it provides excellent intuitive automation. They find it is very robust and flexible, enabling them to write their own queries to achieve the desired transformations quickly. However, they say AWS is not very user friendly and only works with other AWS tools and solutions.

    Informatica Cloud Data Integration offers mass ingestion functionality, and users say it is very flexible, elastic, and is for enterprise organizations. The solution makes it easy to create integrations and they provide many connectors. Many users feel the solution has a steep learning curve and performance limitations.
  • Pricing: AWS Glue users tell us the solution is affordable and offers a pay-as-you-use option. Informatica Cloud Data Integration users feel the pricing could be improved.
  • Service and Support: Overall, users are satisfied with the service and support.

Comparison Results: For users vested in the AWS ecosystem, AWS is hands down the best choice. Informatica Cloud Data Integration is flexible and allows users to decide how to distribute their IPUs in their own networks. Data residency laws make it challenging to choose this solution, as their regions are currently very limited.

To learn more, read our detailed AWS Glue vs. Informatica Cloud Data Integration Report (Updated: March 2024).
Download the complete report
769,976 professionals have used our research since 2012.
Featured Review
Ankit Shukla
Researched Informatica Cloud Data Integration but chose AWS Glue: Cheap, reliable, and able to expand as needed
VivekSingh 1
A tool with an easy setup phase and good support but needs to improve stability
Informatica Cloud Data Integration is being used to transform data. Primarily, it is for creating data pipelines.
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 a stable and easy-to-use solution.""The product has a valuable feature for data catalog.""The facility to integrate with S3 and the possibility to use Jupyter Notebook inside the pipeline are the most valuable features.""Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues.""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.""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 solution is serverless so it allows us to transform data while optimizing the cost and performance of Spark jobs.""What I like best about AWS Glue is its real-time data backup feature. Last week, there was a production push, and what used to take almost ten days to send out around fifty-six thousand emails now takes only two hours."

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"The most valuable features of Informatica Cloud Data Integration for our clients are the AI capabilities within Informatica Intelligent Cloud Services.""The most valuable feature of Informatica Cloud Data Integration is Pushback. You are able to push the data to the solution itself, and it can handle the queries. It helps us a lot. With other tools, the burden is kept on the server.""The most valuable features of the solution are pushdown, optimization, and partitioning, which can be used for frequent data loading, especially when we have a huge data volume in our company.""Informatica Cloud Data Integration is stable.""It is one of the best tools available for data integration.""The program is stable and scalable.""The solution is straightforward.""Replication allows us to fully replicate all objects from Shop Floor Data Collection (SFDC) to in-house/on-premises database in one job."

More Informatica Cloud Data Integration Pros →

Cons
"There is a learning curve to this tool.""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.""AWS Glue is more costly compared to other tools like Airflow.""In terms of improvement, the performance of AWS Glue could be faster.""The monitoring is not that good.""In terms of performance, if they can further optimize the execution time for serverless jobs, it would be a welcome improvement.""The setup and installation is a bit complex without advanced knowledge or training.""Cost-wise, AWS Glue is expensive, so that's an area for improvement. The process for setting up the solution was also complex, which is another area for improvement."

More AWS Glue Cons →

"Informatica Cloud Data Integration could improve the price by making it less expensive.""The cloud version could be better in terms of pricing.""We would like to have accessibility to the repository.""The main issue preventing Brazilian companies from migrating to Informatica Cloud Data Integration from on-prem is the price.""One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities.""It could be improved by including a buffer that saves data when there is a connectivity issue.""There are a small number of UI bugs that occur on occasion.""The price modeling could be more flexible."

More Informatica Cloud Data Integration Cons →

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 →

  • "It is cost effective and an easily accessible tool."
  • "The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
  • "Licensing is difficult to understand, but the team is always available to explain anything. They are very helpful."
  • "My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
  • "Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
  • "Its pricing model can be improved."
  • "I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
  • "The price of Informatica Cloud Data Integration could be reduced."

    • More Informatica Cloud Data Integration Pricing and Cost Advice →

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    Questions from the Community
    How do you select the right cloud ETL tool?
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Read all 2 answers   →
    How does Talend Open Studio compare with AWS Glue?
    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 »
    What are the most common use cases for AWS Glue?
    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 »
    Read all 2 answers   →
    How does Azure Data Factory compare with Informatica Cloud Data Integration?
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Which Informatica product would you choose - PowerCenter or Cloud Data In...
    Top Answer:Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge… more »
    Read all 3 answers   →
    What are the biggest benefits of using Informatica Cloud Data Integration?
    Top Answer:When it comes to cloud data integration, this solution can provide you with multiple benefits, including Overhead reduction by integrating data on any cloud in various ways Effective integration of… more »
    Read all 2 answers   →
    Ranking
    1st
    out of 44 in Cloud Data Integration
    Views
    11,729
    Comparisons
    8,292
    Reviews
    32
    Average Words per Review
    419
    Rating
    7.8
    5th
    out of 44 in Cloud Data Integration
    Views
    3,500
    Comparisons
    2,815
    Reviews
    18
    Average Words per Review
    459
    Rating
    7.7
    Comparisons
    Learn More
    Amazon Web Services (AWS)
    Informatica
    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 Cloud Data Integration is a cloud-native cloud data integration solution that enables users to connect a large number of applications and data sources across on-premises and integrate the data sources at scale on the cloud. The product is built on microservices-driven management and integration platform as a service (iPaaS) and assists organizations to govern costs, increase productivity and collaboration, and simplify their experience. Informatica Cloud Data Integration allows companies to deliver data and analytics to lines of business in a timely manner, build data warehouses on Amazon Redshift, Google Cloud BigQuery, Snowflake, and Microsoft Azure Synapse Analytics, and utilize the required data integration patterns, including elastic processing, extract, load, and transform (ELT), and extract, transform, and load (ETL).

    The solution allows users to to build enterprise-scale integration workloads within hours while it improves the productivity of development teams by providing them a codeless, drag-and-drop user interface. Companies can benefit from integration features built for data warehousing and optimized connectors for bulk loads of billions of records. Informatica Cloud Data Integration offers organizations the option of going serverless at scale by allowing them to process data integration jobs from cloud-hosted as well as managed environments. The Spark-based engine allows the solution to handle high-volume data demands and complex data integration tasks.

    Informatica Cloud Data Integration Features

    Informatica Cloud Data Integration provides its users with various features and tools. Among the key capacities of the product are:

    • Advanced Pushdown Optimization: Informatica Cloud Data Integration offers a feature that provides users with the benefits of ELT while maintaining their data flow definitions at a logical or abstract level. This feature allows users to choose a runtime option that complies with the workload as well as send their data processing work to cloud ecosystem pushdown, cloud data warehouse pushdown, Spark serverless processing, or traditional ETL.

    • Connectors for all major data sources: This feature provides out-of-the-box connectivity to a large number of cloud and on-premise systems, data stores, analytics and BI tools, and enterprise and middleware applications.

    • Data transformation capabilities: This feature allows users to process data transformation in real time or batch by using a variety of transformation types, such as cleansing, masking, aggregation, fileting, parsing, and ranking.

    • Spark-based complex data integration: Informatica Cloud Data Integration Elastic allows specialists to use elastic clusters to process their data transformation.

    • Codeless integration: This feature facilitates the creation of simple-to-sophisticated data integration projects with a visual mapping designer that speeds up pre-build transformations for development through a variety of endpoints across cloud and on-premises.

    • Serverless data integration: Users can achieve cloud data integration in a mode called Advanced Serverless, where they can benefit from a fully managed environment with no software, no cloud administration, and no servers or clusters to manage.

    • Taskflow orchestration: This feature allows users to combine batch and real-time integration through a taskflow designer in order to create simple-to-sophisticated orchestrations.

    • Intelligent structure discovery: This feature uses the CLAIRE engine to automatically understand the parsing model for complicated files based on their structure.

    • Change data capture: Utilizing the prebuilt task wizards and Change Data Capture tool, users can automatically pull only the updated or incremental data from source systems to the targets on a frequent basis.

    • Security: The product offers various features which ensure the highest level of data and workload security and comply with various policies.

    Informatica Cloud Data Integration Benefits

    Informatica Cloud Data Integration brings multiple benefits to its users. These include:

    • The product offers optimized connectivity to various systems through custom build-connectors.

    • Users can benefit from improved elasticity and performance by utilizing Spark clusters and auto-tuning.

    • The tool allows developers to focus on business logic by facilitating infrastructure management through serverless deployment features.

    • Informatica Data Cloud Integration provides user flexibility by connecting to any database, cloud data lake, on-premise apps, and data warehouses.

    • Through a zero-coding environment and role-appropriate user experience, the solution is suitable for all types of users.

    • The solution offers consistent experience and unified metadata across all cloud services.

    • Users can leverage enterprise-level performance for integration design with no coding required.

    • Informatica Data Cloud Integration scales as a business grows, providing a high level of adaptability.

    Reviews from Real Users

    Divya R., a senior consultant at Deloitte, rates Informatica Cloud Data Integration highly because it is a UI-based tool with great scripting.

    A data architect at a retailer likes Informatica Cloud Data Integration because of its flexible licensing, good connectors, and timely upgrades and patches.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Chicago Cubs, Telegraph Media Group
    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 Company37%
    Pharma/Biotech Company21%
    Manufacturing Company11%
    Individual & Family Service5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Manufacturing Company9%
    Insurance Company8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business21%
    Midsize Enterprise21%
    Large Enterprise57%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    AWS Glue vs. Informatica Cloud Data Integration
    March 2024
    Free Report: AWS Glue vs. Informatica Cloud Data Integration
    Find out what your peers are saying about AWS Glue vs. Informatica Cloud Data Integration and other solutions. Updated: March 2024.
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    AWS Glue is ranked 1st in Cloud Data Integration with 37 reviews while Informatica Cloud Data Integration is ranked 5th in Cloud Data Integration with 40 reviews. AWS Glue is rated 7.8, while Informatica Cloud Data Integration 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 Cloud Data Integration writes "A stable, scalable, and user-friendly solution". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Talend Open Studio and Oracle Integration Cloud Service, whereas Informatica Cloud Data Integration is most compared with Informatica PowerCenter, Azure Data Factory, Fivetran, Mule Anypoint Platform and SAP Data Services. See our AWS Glue vs. Informatica Cloud Data Integration 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.