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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Glue

    Score8.8 out of 10
    N/AAWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.

    $0.44

    billed per second, 1 minute minimum

    IBM watsonx.data integration

    Score7.7 out of 10
    N/AIBM watsonx.data integration works across all integration styles, data types and storage architectures to make pipeline design and optimization durable, and data AI-ready.N/A
    Pricing
    AWS GlueIBM watsonx.data integration
    Editions & Modules
    per DPU-Hour
    $0.44
    billed per second, 1 minute minimum
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS GlueIBM watsonx.data integration
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AWS GlueIBM watsonx.data integration
    Considered Both Products
    Amazon AWS
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    88%
    Would buy again
    15 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    93%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    100%
    Happy with the feature set
    17 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    92%
    Lived up to sales and marketing promises
    12 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    9 Answers
    100%
    Implementation went as expected
    14 Answers
    Features
    AWS GlueIBM watsonx.data integration
    Data Source Connection
    Comparison of Data Source Connection features of AWS Glue and IBM watsonx.data integration
    Feature
    AWS Glue
    -
    Ratings
    IBM watsonx.data integration
    7.3
    18 Ratings
    14% below category average
    Connect to traditional data sources00 Ratings7.418 Ratings
    Connecto to Big Data and NoSQL00 Ratings7.117 Ratings
    Data Transformations
    Comparison of Data Transformations features of AWS Glue and IBM watsonx.data integration
    Feature
    AWS Glue
    -
    Ratings
    IBM watsonx.data integration
    7.4
    17 Ratings
    9% below category average
    Simple transformations00 Ratings7.717 Ratings
    Complex transformations00 Ratings7.117 Ratings
    Data Modeling
    Comparison of Data Modeling features of AWS Glue and IBM watsonx.data integration
    Feature
    AWS Glue
    -
    Ratings
    IBM watsonx.data integration
    7.1
    17 Ratings
    11% below category average
    Data model creation00 Ratings7.216 Ratings
    Metadata management00 Ratings7.016 Ratings
    Business rules and workflow00 Ratings7.216 Ratings
    Collaboration00 Ratings7.017 Ratings
    Testing and debugging00 Ratings7.016 Ratings
    Data Governance
    Comparison of Data Governance features of AWS Glue and IBM watsonx.data integration
    Feature
    AWS Glue
    -
    Ratings
    IBM watsonx.data integration
    7.8
    17 Ratings
    4% below category average
    Integration with data quality tools00 Ratings7.717 Ratings
    Integration with MDM tools00 Ratings7.916 Ratings
    Best Alternatives
    AWS GlueIBM watsonx.data integration
    Small Businesses
    No answers on this topic
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    Toad Data Point
    Score8.3 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    Datameer
    Score8.4 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS GlueIBM watsonx.data integration
    Likelihood to Recommend
    9.2
    (10 ratings)
    7.5
    (18 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.3
    (1 ratings)
    Usability
    9.6
    (3 ratings)
    7.4
    (18 ratings)
    Support Rating
    7.0
    (1 ratings)
    4.5
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.4
    (1 ratings)
    User Testimonials
    AWS GlueIBM watsonx.data integration
    Likelihood to Recommend
    Amazon AWS
    One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
    Incentivized
    Read full review
    IBM
    Ability to incorporate new data sets without the need to redesign processes, speed of data analytics from the end user self service standpoint, ability to support open data formats and optimizing storage for better computational performance when running query. Supports both ELT batch loads as well as rea time streaming data. To the minute replication for high availability
    Incentivized
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    Pros
    Amazon AWS
    • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
    • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
    • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
    Incentivized
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    IBM
    • Data integration from different data sources, this is for all the data in silos unification.
    • With centralized governance, we can unify all policies because the data is centralized, making governance much simpler.
    • Storage cost: we can reduce the cost of moving data, including historical data, from expensive data warehouses or cloud services and improve connectivity.
    Incentivized
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    Cons
    Amazon AWS
    • In-Stream schema registries feature people can not use this more efficiently
    • in Connections feature they can add more connectors as well
    • The crucial problem with AWS Glue is that it only works with AWS.
    Incentivized
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    IBM
    • I don't like the number of service options; there are too many products, and it can be overwhelming for new users.
    • Granular access can be difficult to manage in terms of permissions and data governance, especially for complex column- or row-level security.
    • Troubleshooting can fail with the integration's syncs; sometimes the errors are unclear or too generic.
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    No answers on this topic
    IBM
    IBM's watsonx data integration effectively combines the data across various platforms to give the organization a consolidated view, which is valuable. The value proposition continues to scale with AI Capabilities being introduced alongside the versatile and reliable data tool kit. Future conversations will revolve around the integration of Agents and Data.
    Incentivized
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    Usability
    Amazon AWS
    While easy to set up and manage monitoring for large datasets, its complexity can be a barrier for new users. Integration with AWS Ecosystem, Managed Monitoring, Dashboards and monitoring tools for AWS Glue are generally easy to set up and maintain, Automated Data Pipelines. Automates data pipeline creation, making it efficient for certain data integration
    Incentivized
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    IBM
    After it is configured the regular operation is very user friendly and intuitive. The Data Lakehouse console makes it easy for Data Analysts who are novice Data Infrastructure. Why i did not give it a 10 is because configuring engine settings and connecting hybrid or on prem environments takes a bit of time to learn
    Incentivized
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    Support Rating
    Amazon AWS
    Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
    Incentivized
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    IBM
    Never Contacted.
    Incentivized
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    Implementation Rating
    Amazon AWS
    No answers on this topic
    IBM
    The key insights related to watsonx data would be related to the ability to integrate data sources from cross-functional streams with ease, capturing real-time insights from the consolidated data streams, and leveraging agentic capabilities to gather actionable steps across the fragmented data lakes. These initiatives provided immense value from a broader organizational standpoint.
    Incentivized
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    Alternatives Considered
    Amazon AWS
    AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
    Read full review
    IBM
    IBM watsonx.data integration is very favorable due to its strong data governance, metadata management and integration capabilities. It enable us to consolidate data from multiple clinical and operational sources, also it automates workflows and improves data quality.
    Incentivized
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    Return on Investment
    Amazon AWS
    • We are using GLUE for our ETL purpose. it’s ease with other our AWS services makes our ROI, 100% ROI.
    • One missing piece was compatibility with other data source for which we found a work around and made our data source as S3 only, so our dependencies on other data source is also reducing
    Incentivized
    Read full review
    IBM
    • Operational Efficiency: reduced time spent on manual data consolidation. This likely makes it 40% faster for the analytics teams to work with.
    • Team productivity and interdepartmental collaboration have eliminated repetitive ad hoc data requests and enabled all business units to self-serve analytics.
    • Risk mitigation, centralized governance, and security policies reduce compliance errors and make it easier to detect breaches and other issues.
    Incentivized
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