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AWS Lake Formation vs Microsoft Azure Synapse Analytics comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between AWS Lake Formation and Microsoft Azure Synapse Analytics based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed AWS Lake Formation vs. Microsoft Azure Synapse Analytics report (Updated: August 2022).
632,611 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The solution is quite good at handling analytics. It's done a good job at helping us centralize them.""The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients."

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"The useability, the user interface, is very user-friendly.""The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.""The solution has been working well overall.""One central workspace to manage everything for your data warehouse including visualization.""The stability is pretty good.""One of the most valuable features of this solution is its ability to integrate well with other services offered by Azure.""Technical support is okay in terms of the help they provide.""Synapse Analytics' best feature is its ability to process large files."

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Cons
"In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support.""For the end-users, it's not as user-friendly as it could be."

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"Integration with other products is an area that can be improved.""The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them.""I am a researcher. For people to be able to research a solution, there should be at least a free trial. Just advertising a product or saying that this product is better doesn't work. I would strongly recommend providing a lot of free trials and trainings. This will also help Microsoft in having more users or customers. Oracle provides some free trials. You can just go for a free trial and use your database online, which is very good.""I am pretty sure that there are areas that need improvement but I just can think of them off the top of my head.""They should provide a less expensive version with a smaller setup for small businesses. Currently, its price is quite high for entry-level or small businesses. In terms of integration, new connectors are always welcomed.""An area for improvement in Microsoft Azure Synapse Analytics is its user interface. You can use it for analytical purposes, but its platform should be a little bit more user-friendly. Another small point for improvement in Microsoft Azure Synapse Analytics is its stability. It's good currently, but it could still be improved. Microsoft is combining different tools and technologies into one solution, so in the future, I'm expecting to see even more improvement in Microsoft Azure Synapse Analytics. An additional feature I'd like to see in the next version of Microsoft Azure Synapse Analytics is the drag-and-drop feature. If you're doing some integrations where you can write Scala or you have SPARK programming or SQL, or you're combining different programming, the process should be seamless, and you should be able to drag and drop in Microsoft Azure Synapse Analytics. When doing reporting in the solution, you should also be able to drag and drop. There should be connectors available and a drag-and-drop feature available in the user interface of Microsoft Azure Synapse Analytics, so you won't have to worry about how all processes would work together. You need to be able to drag and drop even from the backend, and having this feature will make the solution more user-friendly.""Scaling this solution up and down is not quick and easy. This could be improved. The pricing of this solution could also be improved.""Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself. You have to build a pipeline in WhereScape, which does end-to-end pipeline automation well. Microsoft should come up with a framework to save people time. If they developed a tool like WhereScape, it would dramatically reduce development time."

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Pricing and Cost Advice
Information Not Available
  • "Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."
  • "The price of the package not expensive and depends on how much it is used."
  • "The cost of the licensing depends on the size of the warehouse, where the cost of storage is approximately $130 USD per terabyte."
  • "This is a cost-effective product."
  • "Because it's cloud the cost is a different convention and the licensing costs are not the same."
  • "It's very difficult to price unless you know exactly how the customer is using it."
  • "We normally pay between $300 and $500 per month, which is quite expensive for how much we actually use it, performance- and usage-wise. They have a cheap version and an expensive version, and our usage usually falls in the middle ground, which makes it not as cost-effective as it could be."
  • "The solution is subscription-based. You can also pay to use the product as you go."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

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    632,611 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:The solution is quite good at handling analytics. It's done a good job at helping us centralize them.
    Top Answer:I'm not privvy to licesning information. I'm not sure how much the solution costs.
    Top Answer:We occasionally work with third-party libraries and they fail to integrate with this product effectively. For the end-users, it's not as user-friendly as it could be. For example, if I have a Lake… more »
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
    Top Answer:The most valuable feature of Microsoft Azure Synapse Analytics is the capabilities, and the integration with other Azure resources, such as Data Factory, Databricks, and Spark for data processing. The… more »
    Ranking
    11th
    Views
    3,776
    Comparisons
    2,817
    Reviews
    3
    Average Words per Review
    712
    Rating
    8.0
    2nd
    Views
    33,974
    Comparisons
    22,792
    Reviews
    45
    Average Words per Review
    484
    Rating
    7.9
    Comparisons
    Also Known As
    Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
    Learn More
    Overview

    AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

    Microsoft Azure Synapse Analytics is an end-to-end analytics solution that successfully combines analytical services to merge big data analytics and enterprise data warehouses into a single unified platform. The solution can run intelligent distributed queries among nodes, and provides the ability to query both relational and non-relational data.

    Microsoft Azure Synapse Analytics is built with these 4 components:

    1. Synapse SQL
    2. Spark
    3. Synapse Pipeline
    4. Studio

    Microsoft Azure Synapse Analytics Features

    Microsoft Azure Synapse Analytics has many valuable key features, including:

    • Cloud Data Service: WIth Microsoft Azure Synapse Analytics you can operate services (data analytics, machine learning, data warehousing, dashboarding, etc.) in a single workspace via the cloud.

    • Structured and unstructured data: Microsoft Azure Synapse Analytics supports both structured and unstructured data and allows you to manage relational and non-relational data - unlike data warehouses and lakes that tend to store them respectively.

    • Effective data storage: Microsoft Azure Synapse Analytics offers next-level data storage with high availability and different tiers.

    • Responsive data engine: Microsoft Azure Synapse Analytics uses Massive Parallel Processing (MPP) and is designed to handle large volumes of data and analytical workloads efficiently without any problems.

    • Several scripting languages: The solution provides language compatibility and supports different programming languages, such as Python, Java, Spark SQL, and Scala.

    • Query optimization: Microsoft Azure Synapse Analytics works well to facilitate limitless concurrency and performance optimization. It also simplifies workload management.

    Microsoft Azure Synapse Analytics Benefits

    Some of the benefits of using Microsoft Azure Synapse Analytics include:

    • Database templates: Microsoft Azure Synapse Analytics offers industry-specific database templates that make it easy to combine and shape data.

    • Better business insights: With Microsoft Azure Synapse Analytics you can expand discovery of insights from all your data and apply machine learning models to all your intelligent apps.

    • Reduce project development time: Microsoft Azure Synapse Analytics makes it possible to have a unified experience for developing end-to-end analytics, which reduces project development time significantly.

    • Eliminate data barriers: By using Microsoft Azure Synapse Analytics, you can perform analytics on operational and business apps data without data movement.

    • Advanced security: Microsoft Azure Synapse Analytics provides both advanced security and privacy features to ensure data protection.

    • Machine Learning: Microsoft Azure Synapse Analytics integrates Azure Machine Learning, Azure Cognitive Services, and Power BI.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by Microsoft Azure Synapse Analytics users who are currently using the solution.

    PeerSpot user Jael S., who is an Information Architect at Systems Analysis & Design Engineering, comments on her experience using the product, saying that it is “Scalable, intuitive, facilitates compliance and keeps your data secure”. She also says "We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."

    Michel T., CHTO at Timp-iT, mentions that "the features most valuable are the simplicity, how easy it is to create a dashboard from different information systems."

    A Senior Teradata Consultant at a tech services company says, "Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."


    Offer
    Learn more about AWS Lake Formation
    Learn more about Microsoft Azure Synapse Analytics
    Sample Customers
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company15%
    Media Company8%
    Comms Service Provider7%
    REVIEWERS
    Computer Software Company26%
    Comms Service Provider13%
    Manufacturing Company10%
    Healthcare Company10%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Comms Service Provider12%
    Financial Services Firm9%
    Energy/Utilities Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise74%
    REVIEWERS
    Small Business26%
    Midsize Enterprise22%
    Large Enterprise51%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise15%
    Large Enterprise68%
    Buyer's Guide
    AWS Lake Formation vs. Microsoft Azure Synapse Analytics
    August 2022
    Find out what your peers are saying about AWS Lake Formation vs. Microsoft Azure Synapse Analytics and other solutions. Updated: August 2022.
    632,611 professionals have used our research since 2012.

    AWS Lake Formation is ranked 11th in Cloud Data Warehouse with 2 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 48 reviews. AWS Lake Formation is rated 8.0, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of AWS Lake Formation writes "Stable and good at handling analytics but needs to better accept integrations". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "Multifeatured, has better performance over other solutions, and lets users manage structured and unstructured information, but the platform needs to be more user-friendly". AWS Lake Formation is most compared with Snowflake, Amazon Redshift, Azure Data Factory, Amazon EMR and Apache Hadoop, whereas Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Azure Data Factory, SAP BW4HANA and Teradata. See our AWS Lake Formation vs. Microsoft Azure Synapse Analytics report.

    See our list of best Cloud Data Warehouse vendors.

    We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.