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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 Stream Analytics

    Score8 out of 10
    N/AMicrosoft offers Azure Stream Analytics for IoT and connected devices, supporting real-time analytics and reporting.

    $0.11

    per hour with a 1 SU minimum

    Pricing
    Azure Data FactoryAzure Stream Analytics
    Editions & Modules
    No answers on this topic
    Standard
    $0.11
    per hour with a 1 SU minimum
    Dedicated
    $0.11
    per hour with a 36 SU minimum
    Offerings
    Pricing Offerings
    Azure Data FactoryAzure Stream Analytics
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Azure Stream Analytics is priced by the number of Streaming Units provisioned. A Streaming Unit represents the amount of memory and compute allocated to your resources.
    More Pricing Information
    Community Pulse
    Azure Data FactoryAzure Stream Analytics
    Considered Both Products
    Microsoft
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    No answers on this topic
    Happy with the feature set
    86%
    Happy with the feature set
    6 Answers
    No answers on this topic
    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 Stream Analytics
    Data Source Connection
    Comparison of Data Source Connection features of Azure Data Factory and Azure Stream Analytics
    Feature
    Azure Data Factory
    9.0
    7 Ratings
    7% above category average
    Azure Stream Analytics
    -
    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 Stream Analytics
    Feature
    Azure Data Factory
    8.5
    7 Ratings
    4% above category average
    Azure Stream Analytics
    -
    Ratings
    Simple transformations9.07 Ratings00 Ratings
    Complex transformations8.07 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Azure Data Factory and Azure Stream Analytics
    Feature
    Azure Data Factory
    7.2
    7 Ratings
    10% below category average
    Azure Stream Analytics
    -
    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 Stream Analytics
    Feature
    Azure Data Factory
    7.5
    7 Ratings
    8% below category average
    Azure Stream Analytics
    -
    Ratings
    Integration with data quality tools7.07 Ratings00 Ratings
    Integration with MDM tools8.07 Ratings00 Ratings
    Streaming Analytics
    Comparison of Streaming Analytics features of Azure Data Factory and Azure Stream Analytics
    Feature
    Azure Data Factory
    -
    Ratings
    Azure Stream Analytics
    6.1
    1 Ratings
    27% below category average
    Real-Time Data Analysis00 Ratings7.01 Ratings
    Data Ingestion from Multiple Data Sources00 Ratings7.01 Ratings
    Low Latency00 Ratings8.01 Ratings
    Integrated Development Tools00 Ratings2.01 Ratings
    Data wrangling and preparation00 Ratings7.01 Ratings
    Linear Scale-Out00 Ratings5.01 Ratings
    Data Enrichment00 Ratings7.01 Ratings
    Best Alternatives
    Azure Data FactoryAzure Stream Analytics
    Small Businesses
    Skyvia
    Score9.9 out of 10
    Amazon Kinesis
    Score9.7 out of 10
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score8 out of 10
    Confluent
    Score9.9 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.2 out of 10
    Spotfire Streaming
    Score6.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Data FactoryAzure Stream Analytics
    Likelihood to Recommend
    9.0
    (7 ratings)
    7.0
    (1 ratings)
    Support Rating
    7.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Azure Data FactoryAzure Stream Analytics
    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.
    Incentivized
    Read full review
    Microsoft
    Data enrichment is effectively done in stream analytics also checking the values with different functionality like windowing and group by clause is effectively working.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Microsoft
    • Routing of data from multiple inputs to multiple output
    • You create your own user define function.
    • Intermediate query is working very effectively.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Microsoft
    • Code competency is not that much effective
    • Ml models can't be integrated with stream analytics
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    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
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    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.
    Incentivized
    Read full review
    Microsoft
    Azure Stream Analytics is easy to implement and also to integrate compare to other services like iot analytics
    Incentivized
    Read full review
    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
    Incentivized
    Read full review
    Microsoft
    • Very nice roi while using it.
    • Multiple integration is the best functionality
    Incentivized
    Read full review
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