Microsoft Azure Synapse Analytics vs Teradata Cloud Data Warehouse comparison

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Executive Summary

We performed a comparison between Microsoft Azure Synapse Analytics and Teradata Cloud Data Warehouse based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse.
To learn more, read our detailed Cloud Data Warehouse Report (Updated: November 2022).
655,113 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 initial setup is very simple.""The solution offers strong scalability opportunities.""The most valuable feature is the level of processing power, and being able to complete tasks in parallel.""We have found that it is easy to develop and to do the analytics in the modules of data.""I think the most valuable component is that pipelines are built into it and then the feature that you can mirror a cosmos BB for analytics.""One of the most valuable features of this solution is its ability to integrate well with other services offered by Azure.""The solution can scale.""The solution's scalability is very, very good. It's one of the most important aspects for us."

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Cons
"We'd, of course, always like to pay less for the service if we can.""Right now, we are really struggling with the performance. it's not as good as we had hoped.""There is a limit on the number of concurrent queries to around 125 for Azure Synapse.""I am pretty sure that there are areas that need improvement but I just can think of them off the top of my head.""Integration with other vendors has limitations and could be improved.""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 initial setup has a bit of a learning curve.""I would like to see more ready-to-use products from Synapse. Right now, everything seems a bit futuristic without much modern use."

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"It could be a bit more user-friendly."

More Teradata Cloud Data Warehouse Cons →

Pricing and Cost Advice
  • "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."
  • "It requires a less expensive version because currently, not every customer is able to buy it. If it could have a smaller setup that doesn't require so many resources, it would be helpful, and we would be able to use it in more cases. We are a small country, and most of our customers are quite small businesses."
  • "It goes by the usage, and there are some limits. Synapse goes by particular pricing, and it is expensive. Both Azure Synapse Analytics and Snowflake are pretty expensive. They don't have standard pricing. They deal with each customer differently."
  • "My company pays for the license and I am not sure about the price."
  • 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: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 pipeline that is the ETL tool. It's very well designed and is overall very good. We usually don't use the ETL tool in Databricks… more »
    Top Answer:In terms of improvements, I can only speak from the dashboard perspective. The most important thing is that I don't know how far the dashboard integration goes. People, for example, were using the… more »
    Top Answer:We primarily use the solution for data warehousing. Primarily what happens is, in Juniper, they have internal business analytics and intelligence, a business intelligence analytics dashboard, and a… more »
    Ranking
    3rd
    Views
    35,897
    Comparisons
    22,649
    Reviews
    45
    Average Words per Review
    468
    Rating
    7.8
    11th
    Views
    1,614
    Comparisons
    1,346
    Reviews
    1
    Average Words per Review
    1,352
    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

    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."


    Teradata IntelliCloud provides data and analytic software as a service (SaaS). You can subscribe to Teradata Database, Aster Analytics, and/or Hadoop and receive complete setup and management of software and infrastructure – so that you can focus on business outcomes.

    IntelliCloud services are available with new deployment choices: Teradata IntelliFlex – our flagship enterprise data warehouse platform that we deploy and manage in our data centers – and public cloud infrastructure from Amazon Web Services (AWS) that we provision and manage.

    Offer
    Learn more about Microsoft Azure Synapse Analytics
    Learn more about Teradata Cloud Data Warehouse
    Sample Customers
    Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
    Volvo, eBay, P&G, Verizon, 7Eleven, ABN Amro, Alior Bank, BBVA, Cabela's, Dell, DHL, Gortz, Homebase, IHG
    Top Industries
    REVIEWERS
    Computer Software Company26%
    Comms Service Provider12%
    Financial Services Firm12%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider11%
    Financial Services Firm9%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Financial Services Firm12%
    Comms Service Provider9%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise22%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise8%
    Large Enterprise74%
    Buyer's Guide
    Cloud Data Warehouse
    November 2022
    Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: November 2022.
    655,113 professionals have used our research since 2012.

    Microsoft Azure Synapse Analytics is ranked 3rd in Cloud Data Warehouse with 47 reviews while Teradata Cloud Data Warehouse is ranked 11th in Cloud Data Warehouse with 1 review. Microsoft Azure Synapse Analytics is rated 7.8, while Teradata Cloud Data Warehouse is rated 8.0. 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". On the other hand, the top reviewer of Teradata Cloud Data Warehouse writes "Scalable, reliable and easy to access data". Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, Azure Data Factory, SAP BW4HANA and SAP Business Warehouse, whereas Teradata Cloud Data Warehouse is most compared with Snowflake, Amazon Redshift, Oracle Exadata, Teradata IntelliFlex and Vertica.

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