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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Azure Data Factory

    Score8.9 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

    Azure HDInsight

    Score4 out of 10
    N/AHDInsight is an implementation of the Apache Hadoop technology stack on the Microsoft Azure cloud platform: It is based on the Hortonworks Hadoop distribution. Microsoft Azure HDInsight includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, etc. It also integrates with with business intelligence (BI) tools such as Power BI, Excel, SQL Server Analysis Services, and SQL Server Reporting Services.N/A
    Pricing
    Azure Data FactoryAzure HDInsight
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Data FactoryAzure HDInsight
    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
    Azure Data FactoryAzure HDInsight
    Considered Both Products
    Microsoft
    No answer on this topic
    Microsoft
    Chose Azure HDInsight
    Many times you just need spark performing fast and cheap. Azure HDInsight Includes lots of features and not required software. Also its libraries and runtime versions are pritty old. But, what is great Is you don't need to have an expert in your team and things -when work- …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    80%
    Would buy again
    4 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    80%
    Delivers good value for the price
    4 Answers
    Happy with the feature set
    86%
    Happy with the feature set
    6 Answers
    80%
    Happy with the feature set
    4 Answers
    Lived up to sales and marketing promises
    86%
    Lived up to sales and marketing promises
    6 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    No answers on this topic
    Features
    Azure Data FactoryAzure HDInsight
    Data Source Connection
    Comparison of Data Source Connection features of Azure Data Factory and Azure HDInsight
    Feature
    Azure Data Factory
    9.0
    7 Ratings
    7% above category average
    Azure HDInsight
    -
    Ratings
    Connect to traditional data sources9.07 Ratings00 Ratings
    Connecto to Big Data and NoSQL9.07 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of Azure Data Factory and Azure HDInsight
    Feature
    Azure Data Factory
    8.5
    7 Ratings
    4% above category average
    Azure HDInsight
    -
    Ratings
    Simple transformations9.07 Ratings00 Ratings
    Complex transformations8.07 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Azure Data Factory and Azure HDInsight
    Feature
    Azure Data Factory
    7.2
    7 Ratings
    10% below category average
    Azure HDInsight
    -
    Ratings
    Data model creation8.05 Ratings00 Ratings
    Metadata management7.06 Ratings00 Ratings
    Business rules and workflow7.07 Ratings00 Ratings
    Collaboration6.06 Ratings00 Ratings
    Testing and debugging7.07 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of Azure Data Factory and Azure HDInsight
    Feature
    Azure Data Factory
    7.5
    7 Ratings
    8% below category average
    Azure HDInsight
    -
    Ratings
    Integration with data quality tools7.07 Ratings00 Ratings
    Integration with MDM tools8.07 Ratings00 Ratings
    Best Alternatives
    Azure Data FactoryAzure HDInsight
    Small Businesses
    Skyvia
    Score9.9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score8 out of 10
    Cloudera Manager
    Score9.9 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.2 out of 10
    Apache Spark
    Score9.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Data FactoryAzure HDInsight
    Likelihood to Recommend
    9.0
    (7 ratings)
    4.0
    (6 ratings)
    Usability
    -
    (0 ratings)
    8.9
    (4 ratings)
    Support Rating
    7.0
    (1 ratings)
    1.0
    (5 ratings)
    User Testimonials
    Azure Data FactoryAzure HDInsight
    Likelihood to Recommend
    Microsoft
    Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
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    Microsoft
    Well suited: A tiny-mid sized company with no immediate plans of growing the volume of their data processing, that can afford long response times from support. Also it helps if you are not prone to put your hands on Linux and Spark configuration. In fact, it can make things go really faster if you also work with the bundle-in Jupyter. And, if you need to perform some diagnostics and / or administrative tasks, that's full of tools to find an understand the Root Cause. Ideal for non experts. Less appropriate: Big Data company, intense on demand cluster creation, mission critical, costs reduction, latest versions of libraries required, sophisticate customizations required.
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    Pros
    Microsoft
    • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
    • We can use linked service in multiple pipeline/data load.
    • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
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    Microsoft
    • Data is presented without interfering others (IT or other dept).
    • Data is managed properly and is available for retrievable any time.
    • Legacy use of CD/DVD and Pendrive are not required.
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    Cons
    Microsoft
    • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
    • Does not yet have parity with SSIS as far as the transforms available.
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    Microsoft
    • The only problem I have come across is when loading large volumes of data I sometimes get an error message, I assume this means something is corrupt from within. I would love a way for this to be resolved without having to start over.
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    Usability
    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.
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    Microsoft
    Azure HDInsight is usable on the top of Azure Data Lake and gives us the benefit of analyzing large scale data workload in Hadoop. Usability and support from Microsoft are outstanding.
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    Support Rating
    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
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    Microsoft
    Inexpert, isolated teams... not good for support an excessively complex platform. Lots of weeks or months for a complex problem troubleshoot. Many time lost stuck on MindTree, before the case was finally escalated with Microsoft!
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    Alternatives Considered
    Microsoft
    The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
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    Microsoft
    At this time I have not used any other similar products... I am open to it but Azure HDInsight and its components really work well for our organization.
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    Return on Investment
    Microsoft
    • It is very useful and make things easier
    • Debugging can improve
    • Its better suited than other products with the same objective
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    Microsoft
    • ROI is of course there, as no legacy software for data presentation.
    • No manual intervention for data retrieval.
    • Data is available anywhere as requested.
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