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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

    Snowflake

    Score8.9 out of 10
    N/AThe Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
    Pricing
    Azure Data FactorySnowflake
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Azure Data FactorySnowflake
    Free Trial
    NoYes
    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 FactorySnowflake
    Considered Both Products
    Microsoft
    No answer on this topic
    Snowflake Computing
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    100%
    Would buy again
    29 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    7 Answers
    100%
    Delivers good value for the price
    27 Answers
    Happy with the feature set
    86%
    Happy with the feature set
    6 Answers
    100%
    Happy with the feature set
    29 Answers
    Lived up to sales and marketing promises
    86%
    Lived up to sales and marketing promises
    6 Answers
    96%
    Lived up to sales and marketing promises
    22 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    100%
    Implementation went as expected
    24 Answers
    Features
    Azure Data FactorySnowflake
    Data Source Connection
    Comparison of Data Source Connection features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    9.0
    7 Ratings
    7% above category average
    Snowflake
    -
    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 Snowflake
    Feature
    Azure Data Factory
    8.5
    7 Ratings
    4% above category average
    Snowflake
    -
    Ratings
    Simple transformations9.07 Ratings00 Ratings
    Complex transformations8.07 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    7.2
    7 Ratings
    10% below category average
    Snowflake
    -
    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 Snowflake
    Feature
    Azure Data Factory
    7.5
    7 Ratings
    8% below category average
    Snowflake
    -
    Ratings
    Integration with data quality tools7.07 Ratings00 Ratings
    Integration with MDM tools8.07 Ratings00 Ratings
    Best Alternatives
    Azure Data FactorySnowflake
    Small Businesses
    Skyvia
    Score9.9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score8 out of 10
    Azure Synapse Analytics
    Score6.9 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.2 out of 10
    Teradata Vantage
    Score8.1 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Data FactorySnowflake
    Likelihood to Recommend
    9.0
    (7 ratings)
    9.2
    (43 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (2 ratings)
    Usability
    -
    (0 ratings)
    9.3
    (19 ratings)
    Support Rating
    7.0
    (1 ratings)
    9.9
    (8 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    Azure Data FactorySnowflake
    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
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    Snowflake Computing
    Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
    Incentivized
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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.
    Incentivized
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    Snowflake Computing
    • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
    • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
    • Snowflake manages concurrency better in our trials than other premium competitors
    • Snowflake has little to no setup and ramp up time
    • Snowflake offers online training for various employee types
    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
    Snowflake Computing
    • Add constraints for views and not just for tables
    • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
    Incentivized
    Read full review
    Likelihood to Renew
    Microsoft
    No answers on this topic
    Snowflake Computing
    SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
    Incentivized
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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.
    Incentivized
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    Snowflake Computing
    Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
    Incentivized
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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
    Incentivized
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    Snowflake Computing
    We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
    Incentivized
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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.
    Incentivized
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    Snowflake Computing
    I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
    Incentivized
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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
    Incentivized
    Read full review
    Snowflake Computing
    • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
    • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
    • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
    Incentivized
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    ScreenShots

    Snowflake Screenshots

    Screenshot of Snowflake Installation