Apache Hadoop vs Microsoft Azure Synapse Analytics comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
2,467 views|2,110 comparisons
87% willing to recommend
Microsoft Logo
16,714 views|7,803 comparisons
94% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jul 11, 2022

We performed a comparison between Apache Hadoop and Microsoft Azure Synapse Analytics based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Some users of both solutions say that their initial setup is straightforward, while others feel it is complex.
  • Features: Users of both products are happy with their stability and scalability.

    Hadoop users praise its distributed processing and say it is reliable but difficult to configure. Synapse users say it is user friendly and has good integration options but needs better encryption capabilities.
  • Pricing: Hadoop reviewers say that it is an expensive solution. In contrast, most Synapse reviewers feel that it is fairly priced.
  • Service and Support: Reviewers of both solutions report being satisfied with the level of support they receive.

Comparison Results: Synapse has a slight edge in this comparison. According to its users, it is more user-friendly and less expensive than Hadoop.

To learn more, read our detailed Apache Hadoop vs. Microsoft Azure Synapse Analytics Report (Updated: May 2024).
772,127 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 most valuable feature is scalability and the possibility to work with major information and open source capability.""The most valuable feature is the database.""I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed.""One valuable feature is that we can download data.""Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform.""It's open-source, so it's very cost-effective.""The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics.""Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."

More Apache Hadoop Pros →

"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.""The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services.""Azure Synapse combines the strengths of SQL technologies for effective enterprise data management.""The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.""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.""The solution's scalability is very, very good. It's one of the most important aspects for us.""The speed is great and the architecture is excellent.""The most valuable feature is the level of processing power, and being able to complete tasks in parallel."

More Microsoft Azure Synapse Analytics Pros →

Cons
"It would be good to have more advanced analytics tools.""It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.""We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it.""There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution.""Since it is an open-source product, there won't be much support.""The solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data.""It could be more user-friendly.""It needs better user interface (UI) functionalities."

More Apache Hadoop Cons →

"The only concern for us is the cost part. When it comes to the implementation and the support and maintenance, we see high-cost implications.""We encountered data processing and transformation issues while working with Apache Spark languages for the product.""Microsoft should develop an interface to make it easier to shift from on-premise to the cloud.""The support and price could improve.""Right now, we are really struggling with the performance. it's not as good as we had hoped.""The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them.""Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful.""The product needs a tool that allows for work from a laptop instead of a browser."

More Microsoft Azure Synapse Analytics Cons →

Pricing and Cost Advice
  • "Do take into consider that data storage and compute capacity scale differently and hence purchasing a "boxed" / 'all-in-one" solution (software and hardware) might not be the best idea."
  • "​There are no licensing costs involved, hence money is saved on the software infrastructure​."
  • "This is a low cost and powerful solution."
  • "The price of Apache Hadoop could be less expensive."
  • "If my company can use the cloud version of Apache Hadoop, particularly the cloud storage feature, it would be easier and would cost less because an on-premises deployment has a higher cost during storage, for example, though I don't know exactly how much Apache Hadoop costs."
  • "We don't directly pay for it. Our clients pay for it, and they usually don't complain about the price. So, it is probably acceptable."
  • "The price could be better. Hortonworks no longer exists, and Cloudera killed the free version of Hadoop."
  • "We just use the free version."
  • More Apache Hadoop Pricing and Cost Advice →

  • "The price of this solution could be improved."
  • "The pricing is okay. You can pay as you go."
  • "This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version."
  • "When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage."
  • "The licensing fees for this solution are on a pay-per-use basis, and not very expensive."
  • "All of the prices are available online."
  • "Our license is very expensive"
  • "They are cost aggressive, and it integrates well with other Microsoft tools."
  • More Microsoft Azure Synapse Analytics Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Warehouse solutions are best for your needs.
    772,127 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
    Top Answer:Since it is an open-source product, there won't be much support. So, you have to have deeper knowledge. You need to improvise based on that.
    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:The product is easy to use, and anybody can easily migrate to advanced DB.
    Top Answer:Microsoft Azure Synapse Analytics is a moderately priced solution. We pay a yearly licensing fee for the solution. If you get help from partners, it will be expensive for you.
    Ranking
    5th
    out of 35 in Data Warehouse
    Views
    2,467
    Comparisons
    2,110
    Reviews
    11
    Average Words per Review
    563
    Rating
    7.9
    2nd
    Views
    16,714
    Comparisons
    7,803
    Reviews
    36
    Average Words per Review
    457
    Rating
    8.0
    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
    The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

    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."


    Sample Customers
    Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    REVIEWERS
    Financial Services Firm35%
    Comms Service Provider24%
    Retailer6%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm28%
    Computer Software Company11%
    University6%
    Comms Service Provider5%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Educational Organization33%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise19%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise11%
    Large Enterprise74%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise41%
    Large Enterprise45%
    Buyer's Guide
    Apache Hadoop vs. Microsoft Azure Synapse Analytics
    May 2024
    Find out what your peers are saying about Apache Hadoop vs. Microsoft Azure Synapse Analytics and other solutions. Updated: May 2024.
    772,127 professionals have used our research since 2012.

    Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews. Apache Hadoop is rated 7.8, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Apache Hadoop is most compared with Azure Data Factory, Oracle Exadata, Snowflake, Teradata and BigQuery, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and AWS Lake Formation. See our Apache Hadoop vs. Microsoft Azure Synapse Analytics report.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all 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.