AWS Glue vs SnapLogic comparison

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12,051 views|8,582 comparisons
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Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Glue and SnapLogic 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. SnapLogic Report (Updated: March 2024).
763,955 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
"Our entire use case was very easily handled or solved using this solution.""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.""AWS Glue is quite better than other tools, but you have to learn it properly before you start using it.""I like that it's flexible, powerful, and allows you to write your own queries and scripts to get the needed transformations.""We no longer had to worry much about infrastructure management because AWS Glue is serverless, and Amazon takes care of the underlying infrastructure.""I also like that you can add custom libraries like JAR files and use them. So, the ability to use a fast processing engine and embed basic jobs easily are significant advantages.""One of the best features of the solution is its ability to easily integrate with other AWS services.""Transformations are valuable because you can modify or override complex data logic from an open source or Spark to solve issues."

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"The product is easy to use and has many connectivity options.""The connection with SOAP is the best feature.""An important tool for building prototypes and MVPs than can seamlessly turn into production jobs""You can use other languages, such as Python, and easily connect to other systems.""The solution could improve its API management.""By using snaps instead of functions in code, you can see the building blocks of the integration visually. This helps a lot.""The API architecture makes it easy for orchestration.""It is a scalable solution."

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Cons
"There is a learning curve to this tool.""The product is expensive for data streaming. This area needs improvement.""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.""I would like to see stable libraries at the moment they are not there.""The solution's visual ETL tool is of no use for actual implementation.""Glue could perform better. It sometimes takes too long to test a Glue job. Google Cloud Platform offers more Python scripts than AWS.""The solution’s stability could be improved.""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."

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"SnapLogic should have some inbuilt protocol mechanism in order to speed up.""The support is the most important improvement they could make.""Ultra Pipelines provides real-time ingestion but it needs some adjustment.""Connecting to data behind enterprise firewalls has been tricky.""SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps.""There is room for improvement with APM management and how task execution looks.""We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use.""One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."

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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 →

  • "It is a higher initial cost than other easy-to-use integration apps."
  • "They have pricing/usage tiers that are easy to move up or down."
  • "SnapLogic is not expensive. It's reasonably priced."
  • "The cost with SnapLogic is an annual license and better than Informatica."
  • "By scaling the solution incrementally the cost is controlled and more beneficial to the client."
  • "The license model is based on consumption."
  • "I used the free trial."
  • "SnapLogic's price is high compared to the other tools available in the market."
  • More SnapLogic 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:My company has a licensed version of SnapLogic, so we have to pay for the product when we use it in our organization. Pentaho and Talend are ETL tools that allow my company to migrate the data within… more »
    Top Answer:SnapLogic and Pentaho are tools I use collaboratively for data integration. I have good experience with Pentaho and SnapLogic for data migration from one database to another database. The main use… more »
    Ranking
    1st
    Views
    12,051
    Comparisons
    8,582
    Reviews
    30
    Average Words per Review
    398
    Rating
    7.9
    6th
    Views
    2,280
    Comparisons
    1,511
    Reviews
    13
    Average Words per Review
    710
    Rating
    8.2
    Comparisons
    Also Known As
    DataFlow
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    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.

    The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
    Top Industries
    REVIEWERS
    Computer Software Company47%
    Financial Services Firm18%
    Pharma/Biotech Company12%
    Consumer Goods Company6%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company13%
    Insurance Company7%
    Manufacturing Company7%
    REVIEWERS
    Transportation Company25%
    Manufacturing Company13%
    Retailer13%
    Pharma/Biotech Company13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company12%
    Manufacturing Company11%
    Retailer5%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise13%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business50%
    Midsize Enterprise15%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise75%
    Buyer's Guide
    AWS Glue vs. SnapLogic
    March 2024
    Find out what your peers are saying about AWS Glue vs. SnapLogic and other solutions. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    AWS Glue is ranked 1st in Cloud Data Integration with 32 reviews while SnapLogic is ranked 6th in Cloud Data Integration with 13 reviews. AWS Glue is rated 7.8, while SnapLogic is rated 8.2. The top reviewer of AWS Glue writes "It has a real-time backup feature and records and backs up information every single moment, but its cost is high, and setting it up is complex". On the other hand, the top reviewer of SnapLogic writes "Automates manual activities and has helpful documentation that allows users to self-study". AWS Glue is most compared with AWS Database Migration Service, Informatica PowerCenter, SSIS, Informatica Cloud Data Integration and Palantir Foundry, whereas SnapLogic is most compared with Azure Data Factory, IBM InfoSphere DataStage, Informatica Cloud Data Integration, SSIS and Matillion ETL. See our AWS Glue vs. SnapLogic 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.