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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    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

    Snowflake

    Score8.7 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
    10 Answers
    100%
    Would buy again
    30 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    10 Answers
    100%
    Delivers good value for the price
    28 Answers
    Happy with the feature set
    90%
    Happy with the feature set
    9 Answers
    100%
    Happy with the feature set
    30 Answers
    Lived up to sales and marketing promises
    89%
    Lived up to sales and marketing promises
    8 Answers
    96%
    Lived up to sales and marketing promises
    23 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    10 Answers
    100%
    Implementation went as expected
    25 Answers
    Features
    Azure Data FactorySnowflake
    Data Source Connection
    Comparison of Data Source Connection features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    8.5
    10 Ratings
    1% above category average
    Snowflake
    -
    Ratings
    Connect to traditional data sources9.010 Ratings00 Ratings
    Connecto to Big Data and NoSQL8.110 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    7.8
    10 Ratings
    4% below category average
    Snowflake
    -
    Ratings
    Simple transformations8.710 Ratings00 Ratings
    Complex transformations7.010 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    6.2
    10 Ratings
    25% below category average
    Snowflake
    -
    Ratings
    Data model creation4.37 Ratings00 Ratings
    Metadata management5.48 Ratings00 Ratings
    Business rules and workflow5.910 Ratings00 Ratings
    Collaboration6.99 Ratings00 Ratings
    Testing and debugging6.410 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of Azure Data Factory and Snowflake
    Feature
    Azure Data Factory
    5.6
    10 Ratings
    36% below category average
    Snowflake
    -
    Ratings
    Integration with data quality tools4.210 Ratings00 Ratings
    Integration with MDM tools7.09 Ratings00 Ratings
    Best Alternatives
    Azure Data FactorySnowflake
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    Amazon Redshift
    Score8.9 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    Amazon Redshift
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Azure Data FactorySnowflake
    Likelihood to Recommend
    7.3
    (10 ratings)
    9.0
    (44 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.0
    (3 ratings)
    Usability
    7.6
    (3 ratings)
    8.8
    (20 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
    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
    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
    Read full review
    Pros
    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
    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
    • 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
    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
    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
    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
    Read full review
    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
    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
    Read full review
    Alternatives Considered
    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
    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
    Read full review
    Return on Investment
    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
    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
    Read full review
    ScreenShots

    Snowflake Screenshots

    Screenshot of Snowflake Installation