Amazon Redshift vs Microsoft Azure Synapse Analytics comparison

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Amazon Web Services (AWS) Logo
7,785 views|5,798 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 Apr 10, 2022

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

  • Ease of Deployment: Amazon Redshift reviewers agree that its installation is a straightforward process. Some Microsoft Azure Synapse Analytics users say that its initial setup is straightforward, while others say it is complex.
  • Features: Users of both products are happy with their stability and scalability. Amazon Redshift users say that it is user-friendly and has good machine learning features. Several users mention that it can slow down when performing multiple operations simultaneously.

    Microsoft Azure Synapse Analytics users say it is simple to use, fast, and flexible. A few users mention that its performance needs to improve.
  • Pricing: Most reviewers of both solutions say that they are fairly priced.
  • ROI: Amazon Redshift reviewers do not mention ROI. Microsoft Azure Synapse Analytics reviewers report seeing an ROI.
  • Service and Support: Most reviewers of both solutions report being satisfied with the level of support they receive.

Comparison Results: Amazon Redshift comes out on top in this comparison. It is easy to use and performs well. In addition Amazon Redshift is easier to set up than Microsoft Azure Synapse Analytics.

To learn more, read our detailed Amazon Redshift vs. Microsoft Azure Synapse Analytics Report (Updated: May 2024).
770,141 professionals have used our research since 2012.
Q&A Highlights
Question: How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
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 databases. It scales very easily and has a good cost-benefit ratio. It is very powerful and performs well. The data processing is very fast and can do analytics on the fly. Amazon Redshift should have more cloud-native tools that integrate with it as Microsoft does with the Azure ecosystem. There is some missing functionality that can make Redshift difficult to work in. If you are analyzing a lot of data, the load performance-wise can be very low. Microsoft Azure Synapse Analytics can handle large amounts of data - in the petabyte range. You can scale up and down as much as you want. It has a pay-as-you-go protocol, so you only pay for what you use. The speed is very good and the architecture is excellent. You are in control of what you need, which is a huge advantage. Microsoft Azure Synapse Analytics can be a very complicated product to use. The setup can be very complex. We had some issues with dashboard reporting - we found there were bugs in the platform when dealing with specific types of queries. This solution did not meet the necessary security protocols for some of our clients. Conclusion Both of these solutions are very stable, scalable, and flexible. Each of these products has their own unique ecosystems that are very competitive with each other, making them both great solutions to use. Although they are very similar, there are some features and functionalities that make them unique and attractive depending on the type of enterprise you operate. We are a smaller enterprise and overall our team felt based on ease of use, support, and where we are headed, we have started to migrate everything over to an AWS ecosystem and chose Amazon Redshift. It is the solution our clients liked best as well.
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 features are that it's easy to set up and easy to connect the many tools that connect to it.""The most valuable feature is the scalability, as it grows according to our needs.""I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar.""Redshift has an advantage when it comes to administration, making it easier to manage and collaborate.""Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers.""The feature that we find most useful is the ability to do analytics on the fly.""The most valuable feature is that the solution is fully embedded in the AWS stack.""It allows for the storage of huge amounts of data."

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"It's feature-rich. It has a wide range of features.""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.""Synapse Analytics gives you information and reports in real-time.""The architecture, including compute and storage, is good.""Synapse Analytics' best feature is its ability to process large files.""Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across.""It's quite quick for querying, even with large datasets, and it's scalable. It's also flexible to use, so it's easy to update and get data quickly without wasting time.""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."

More Microsoft Azure Synapse Analytics Pros →

Cons
"The initial deployment was complex.""If you require a highly scalable solution, I would not recommend Amazon Redshift.""Infinite storage is available in Snowflake and is not available in Redshift.""The customer support could be more responsive.""In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic.""The solution could improve in handling more data formats and more native support for RDF.""Amazon Redshift could improve the user interface support.""We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."

More Amazon Redshift Cons →

"I would like to see version control implemented into the data warehouse.""While the solution is flexible, sometimes this works against the user.""Could have more connectors and better integration for Hadoop.""We'd, of course, always like to pay less for the service if we can.""The initial setup is complex.""This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.""The configuration for things like high-availability could be more user-friendly for non-technical users.""The macro functions, though useful, are not totally user-friendly. Some people have difficulties in learning them."

More Microsoft Azure Synapse Analytics Cons →

Pricing and Cost Advice
  • "Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."
  • More Amazon Redshift 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 →

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    Questions from the Community
    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 tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
    Top Answer:It is a highly stable solution and it's easy to use.
    Top Answer:The security performance and cost are the two things that needs improvement.
    Ranking
    4th
    Views
    7,785
    Comparisons
    5,798
    Reviews
    25
    Average Words per Review
    497
    Rating
    7.7
    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

    What is Amazon Redshift?

    Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

    Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

    The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

    Amazon Redshift Functionalities

    Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

    • Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
    • Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed. 
    • Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
    • IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
    • Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

    Reviews from Real Users

    Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

    “With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

    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
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Top Industries
    REVIEWERS
    Computer Software Company32%
    Comms Service Provider14%
    Retailer11%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    REVIEWERS
    Computer Software Company19%
    Financial Services Firm13%
    Manufacturing Company10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Educational Organization32%
    Computer Software Company10%
    Financial Services Firm8%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise55%
    Large Enterprise35%
    REVIEWERS
    Small Business29%
    Midsize Enterprise18%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise40%
    Large Enterprise46%
    Buyer's Guide
    Amazon Redshift vs. Microsoft Azure Synapse Analytics
    May 2024
    Find out what your peers are saying about Amazon Redshift vs. Microsoft Azure Synapse Analytics and other solutions. Updated: May 2024.
    770,141 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 59 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews. Amazon Redshift is rated 7.8, while Microsoft Azure Synapse Analytics is rated 7.8. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Amazon Redshift is most compared with Snowflake, Teradata, AWS Lake Formation, Vertica and Oracle Exadata, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Apache Hadoop. See our Amazon Redshift 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.