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AWS Glue vs. Azure Data Factory vs. Oracle Integration (OIC)

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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

    Azure Data Factory

    Score8 out of 10
    N/AMicrosoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.N/A

    Oracle Integration (OIC)

    Score8 out of 10
    N/AThe Oracle Integration Cloud Service is an iPaaS providing prebuilt integration flows between applications, including other Oracle products. The Integration Cloud Service is scaled for enterprises, with prebuilt codeless adapters for on-premises and SaaS systems and low-code automation capabilities.N/A
    Pricing
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    Editions & Modules
    per DPU-Hour
    $0.44
    billed per second, 1 minute minimum
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    Free Trial
    NoNoYes
    Free/Freemium Version
    NoNoNo
    Premium Consulting/Integration Services
    NoNoYes
    Entry-level Setup FeeNo setup feeNo setup feeOptional
    Additional Details———
    More Pricing Information
    Community Pulse
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    Considered Multiple Products
    Amazon AWS
    Chose AWS Glue
    We are already in AWS services, so AWS glue is the first choice for us. But for the comparison of ETL job making and process time, it's way faster for other services.
    Incentivized
    Microsoft
    Chose Azure Data Factory
    Azure Data Factory fits well into our overall systems architecture where we already utilize largely Azure services and also Microsoft based products in the on-premises environment. I think cost structure is also very competitive with Azure Data Factory. Most services provide a …
    Incentivized
    Chose Azure Data Factory
    Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with …
    Incentivized
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    100%
    Would buy again
    10 Answers
    96%
    Would buy again
    24 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    10 Answers
    92%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    90%
    Happy with the feature set
    9 Answers
    100%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    89%
    Lived up to sales and marketing promises
    8 Answers
    80%
    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
    10 Answers
    90%
    Implementation went as expected
    18 Answers
    Features
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    Data Source Connection
    Comparison of Data Source Connection features of AWS Glue and Azure Data Factory and Oracle Integration (OIC)
    Feature
    AWS Glue
    -
    Ratings
    Azure Data Factory
    8.5
    10 Ratings
    1% above category average
    Oracle Integration (OIC)
    -
    Ratings
    Connect to traditional data sources00 Ratings9.010 Ratings00 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.110 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of AWS Glue and Azure Data Factory and Oracle Integration (OIC)
    Feature
    AWS Glue
    -
    Ratings
    Azure Data Factory
    7.8
    10 Ratings
    4% below category average
    Oracle Integration (OIC)
    -
    Ratings
    Simple transformations00 Ratings8.710 Ratings00 Ratings
    Complex transformations00 Ratings7.010 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of AWS Glue and Azure Data Factory and Oracle Integration (OIC)
    Feature
    AWS Glue
    -
    Ratings
    Azure Data Factory
    6.2
    10 Ratings
    25% below category average
    Oracle Integration (OIC)
    -
    Ratings
    Data model creation00 Ratings4.37 Ratings00 Ratings
    Metadata management00 Ratings5.48 Ratings00 Ratings
    Business rules and workflow00 Ratings5.910 Ratings00 Ratings
    Collaboration00 Ratings6.99 Ratings00 Ratings
    Testing and debugging00 Ratings6.310 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of AWS Glue and Azure Data Factory and Oracle Integration (OIC)
    Feature
    AWS Glue
    -
    Ratings
    Azure Data Factory
    5.6
    10 Ratings
    36% below category average
    Oracle Integration (OIC)
    -
    Ratings
    Integration with data quality tools00 Ratings4.210 Ratings00 Ratings
    Integration with MDM tools00 Ratings7.09 Ratings00 Ratings
    Cloud Data Integration
    Comparison of Cloud Data Integration features of AWS Glue and Azure Data Factory and Oracle Integration (OIC)
    Feature
    AWS Glue
    -
    Ratings
    Azure Data Factory
    -
    Ratings
    Oracle Integration (OIC)
    7.4
    22 Ratings
    8% below category average
    Pre-built connectors00 Ratings00 Ratings7.821 Ratings
    Connector modification00 Ratings00 Ratings7.821 Ratings
    Support for real-time and batch integration00 Ratings00 Ratings5.822 Ratings
    Data quality services00 Ratings00 Ratings6.120 Ratings
    Data security features00 Ratings00 Ratings8.021 Ratings
    Monitoring console00 Ratings00 Ratings9.222 Ratings
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    User Ratings
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    Likelihood to Recommend
    9.1
    (10 ratings)
    7.3
    (10 ratings)
    8.3
    (30 ratings)
    Usability
    9.5
    (3 ratings)
    7.6
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    7.0
    (1 ratings)
    7.0
    (1 ratings)
    9.0
    (1 ratings)
    User Testimonials
    AWS GlueAzure Data FactoryOracle Integration (OIC)
    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
    Microsoft
    Best scenario is for ETL process. The flexibility and connectivity is outstanding. For our environment, SAP data connectivity with Azure Data Factory offers very limited features compared to SAP Data Sphere. Due to the limited modelling capacity of the tool, we use Databricks for data modelling and cleaning. Usage of multiple tools could have been avoided if adf has modelling capabilities.
    Incentivized
    Read full review
    Oracle
    Oracle Process Cloud is suited for medium-sized companies and up who want to create applications that can automate tasks without the need of recruiting more software developers. With a couple hours of training, any member of the organization's business team will be well-equipped with all of the knowledge that is needed to use Oracle Process Cloud effectively. If your IT team is large and able to take upon the task of making the given application, then something like Oracle BPM is a better solution.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • Data Ingestion - it works very well with numerous data sources.
    • Data pipeline orchestration: It is a generic, popular tool for orchestrating data pipelines.
    • Works well in Azure ecosystem, Azure services and data platforms like Databricks.
    • It is a serverless and scalable solution for cloud data integration.
    Incentivized
    Read full review
    Oracle
    • New enhanced activities that are targeted to reduce the integration pain. For example, file stage activity reduces the pain of chunking the input file while sending and mapping the data to the target application. Stage activity takes care of it automatically for the customer. Similarly, recommendation on the mapper is a huge plus for people looking for common integration.
    • There are around 50 adapters available including dedicated out of the box application adapters and generic technologies adapters on OICS. The best part of these application adapters is that they are designed considering LOB users. Most of the time integration implementor does not require, application knowledge to perform the integration. OICS has some of Oracle Cloud applications adapters which make integration much easier may not be available in other integration platforms.
    • Inbuilt diagnostic dashboard and error hospital makes this product lucrative. OICS also comes with integrated Process Cloud and Visual Builder at the same cost. the customer can have seamless integration with Apiary and SSI on demand.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    • Granularity of Errors: Sometimes, Azure Data Factory provides error messages that are too generic or vague for us, making it challenging to pinpoint the exact cause of a pipeline failure. Enhanced error messages with more actionable details would greatly assist us as users in debugging their pipelines.
    • Pipeline Design UI: In my experience, the visual interface for designing pipelines, especially when dealing with complex workflows or numerous activities, can become cluttered. I think a more intuitive and scalable design interface would improve usability. In my opinion, features like zoom, better alignment tools, or grouping capabilities could make managing intricate designs more manageable.
    • Native Support: While Azure Data Factory does support incremental data loads, in my experience, the setup can be somewhat manual and complex. I think native and more straightforward support for Change Data Capture, especially from popular databases, would simplify the process of capturing and processing only the changed data, making regular data updates more efficient
    Incentivized
    Read full review
    Oracle
    • Currently, it is not retaining the logs for more than 3 days, which it needs to address.
    • We also need some functionality inside the interface to re-push the same transaction again so that it will be helpful while testing and fixing the issue.
    • Also, some log errors are not giving the correct details. Oracle needs to rectify those.
    Incentivized
    Read full review
    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
    Read full review
    Microsoft
    So far product has performed as expected. We were noticing some performance issues, but they were largely Synapse related. This has led to a shift from Synapse to Databricks. Overall this has delayed our analytic platform. Once databricks becomes fully operational, Azure Data Factory will be critical to our environment and future success.
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    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
    Read full review
    Microsoft
    We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
    Incentivized
    Read full review
    Oracle
    The team is proactive and takes the issue up for resolution, they follow continuous development and release.
    Incentivized
    Read full review
    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
    Microsoft
    Azure Data Factory helps us automate to schedule jobs as per customer demands to make ETL triggers when the need arises. Anyone can define the workflow with the Azure Data Factory UI designer tool and easily test the systems. It helped us automate the same workflow with programming languages like Python or automation tools like ansible. Numerous options for connectivity be it a database or storage account helps us move data transfer to the cloud or on-premise systems.
    Incentivized
    Read full review
    Oracle
    The nearest thing I have used to OIC is UiPath, as it is often used as a tool to integrate software together. However, it is much more suited to legacy software which have little to no API endpoints. If the infrastructure already exists I understand why people use RPA for integration, however for when API's are easily accessible and you're using Oracle tools, OIC is better.
    Incentivized
    Read full review
    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
    Microsoft
    • Facilitate better decision-making and improve business processes.
    • Optimize business process outcomes by increasing internal efficiency and operational effectiveness.
    • Boosts revenue growth while improving business process agility.
    Incentivized
    Read full review
    Oracle
    • The modern and advanced analytical abilities in Oracle Process Cloud are also a missing element that should be catered to.
    • This tool is used greatly for IT departments at a lower level with some very basic and limited access for general employees only.
    • Oracle Process Cloud has many advantages like it offers some very great and scalable solutions.
    • I find Oracle Process Cloud pretty straightforward and easy as compared to the different options available. Lastly, I think that as it is just one platform, managing the Oracle Process Cloud is pretty easy too.
    Incentivized
    Read full review
    ScreenShots

    Oracle Integration (OIC) Screenshots

    Screenshot of Popular, pre-built adapters to connect applications.Screenshot of #24DaysOfIntegrationScreenshot of Leader in Gartner MQ iPaaS Quadrant - 2018Screenshot of Cloud Integration for Dummies  http://media.wiley.com/assets/7327/27/9781119263289_Cloud_Integration_and_API_Management_FD_Oracle_Special_Edition.pdf