Azure Data Factory vs Teradata comparison

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8,126 views|6,366 comparisons
91% willing to recommend
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5,898 views|4,926 comparisons
87% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Azure Data Factory and Teradata 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 Azure Data Factory vs. Teradata Report (Updated: March 2024).
770,141 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
"Data Factory's most valuable feature is Copy Activity.""The function of the solution is great.""We use the solution to move data from on-premises to the cloud.""I am one hundred percent happy with the stability.""Data Factory's best feature is the ease of setting up pipelines for data and cloud integrations.""The data factory agent is quite good and programming or defining the value of jobs, processes, and activities is easy.""I like its integration with SQL pools, its ability to work with Databricks, its pipelines, and the serverless architecture are the most effective features.""The most valuable feature of this solution would be ease of use."

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"It's very mature from a technology perspective.""The key advantages are Performance when processing Terabytes of data and scalability.""The performance is great, we are able to query our data in one operation.""The functionality of the solution is excellent.""Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running.""We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server.""When it comes to integration, tools like Informatica seamlessly connect with Teradata. We ensure the Teradata database is configured correctly in Informatica, including the proper hostname and properties for the load process. We didn't find any major complexity or issues with integration.""​Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

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Cons
"My only problem is the seamless connectivity with various other databases, for example, SAP.""User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial.""You cannot use a custom data delimiter, which means that you have problems receiving data in certain formats.""Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory.""Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features.""It would be better if it had machine learning capabilities.""In the next release, it's important that some sort of scheduler for running tasks is added.""The product could provide more ways to import and export data."

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"The current operational approach needs improvement.""Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives.""Teradata's UI could be improved.""Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good.""Apart from Control-M, it would be nice if it could integrate with other tools.""It could use some more advanced analytics relating to structured and semi-structured data.""The user interface needs to be improved.""Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

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Pricing and Cost Advice
  • "In terms of licensing costs, we pay somewhere around S14,000 USD per month. There are some additional costs. For example, we would have to subscribe to some additional computing and for elasticity, but they are minimal."
  • "This is a cost-effective solution."
  • "The price you pay is determined by how much you use it."
  • "Understanding the pricing model for Data Factory is quite complex."
  • "I would not say that this product is overly expensive."
  • "The licensing is a pay-as-you-go model, where you pay for what you consume."
  • "Our licensing fees are approximately 15,000 ($150 USD) per month."
  • "The licensing cost is included in the Synapse."
  • More Azure Data Factory Pricing and Cost Advice →

  • "Teradata is not cheap, but you get what you pay for."
  • "Make sure you have the in-house skills to design and support the solution, as relying on external sources is extremely costly and tends to lock you into specific platforms, tools, and paradigms."
  • "In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."
  • "The initial cost may seem high, but the TCO is low."
  • "Teradata is currently making improvements in this area."
  • "It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."
  • "Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
  • "Price is quite high, so if it is really possible to use other solutions (e.g. you do not have strict requirements for performance and huge data volumes), it might be better to look at alternatives from the RDBMS world."
  • More Teradata Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Questions from the Community
    Top Answer:AWS Glue and Azure Data factory for ELT best performance cloud services.
    Top Answer:Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up and… more »
    Top Answer:Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power… more »
    Top Answer: I have spoken to my colleagues about this comparison and in our collective opinion, the reason why some people may declare Teradata better than Oracle is the pricing. Both solutions are quite… more »
    Top Answer: Before my organization implemented this solution, we researched which big brands were using Teradata, so we knew if it would be compatible with our field. According to the product's site, the… more »
    Top Answer:Teradata is not a difficult product to work with, especially since they offer you technical support at all levels if you just ask. There are some features that may cause difficulties - for example… more »
    Ranking
    3rd
    Views
    8,126
    Comparisons
    6,366
    Reviews
    47
    Average Words per Review
    509
    Rating
    8.0
    3rd
    out of 35 in Data Warehouse
    Views
    5,898
    Comparisons
    4,926
    Reviews
    21
    Average Words per Review
    469
    Rating
    7.8
    Comparisons
    Learn More
    Overview

    Azure Data Factory efficiently manages and integrates data from various sources, enabling seamless movement and transformation across platforms. Its valuable features include seamless integration with Azure services, handling large data volumes, flexible transformation, user-friendly interface, extensive connectors, and scalability. Users have experienced improved team performance, workflow simplification, enhanced collaboration, streamlined processes, and boosted productivity.

    Teradata is a multi-cloud data platform company that provides data warehouse and relational database tools. The brand has an extensive portfolio of big data analytic solutions, integrated marketing applications, and services. The products that Teradata offers can be categorized in the following ways:

    • Software: The products in this category include Teradata Vantage, an advanced SQL engine and Teradata database.

    • Cloud: The solutions can work with popular cloud services such as Amazon AWS, Microsoft Azure, Google Cloud Platform, and VMware. Teradata Cloud and customer cloud are also included in this product category.

    • Ecosystem management: The products in this section include IntelliSphere, business continuity manager, data lab, data mover, data stream, QueryGrid, and viewpoint.

    • Hardware: This category includes backup, archive, and restore (BAR) and IntelliFlex.

    • Applications: Master data management (MDM) and Teradata analytics for enterprise applications are the two products in this category.

    One of the most popular and commonly used products by Teradata is Teradata Vantage. This is a connected multi-cloud data platform for enterprise analytics. The product unifies data lakes, analytics, and data warehouses, as well as data sources and types. The solution offers its customers scalability, which allows them to scale dimensions to handle massive workloads of data. Teradata Vantage utilizes artificial intelligence (AI) and machine learning (ML) to power more models and enhance quality.

    Through Vantage Console, businesses can benefit from role-based, no-code software to organize and manage their data. The product offers deployment on many popular public clouds, on premises, and on commodity hardware. Teradata Vantage unifies and integrates all data types from sources and provides companies with a single source of information. It achieves this by supporting all common data types and formats. The product also provides organizations with tools for monitoring, analyzing, and connecting data throughout the organizations.

    Part of this product is also VantageCloud, which offers a modern cloud-native architecture as well as hybrid and multi-cloud deployment options. This solution offers new ways for clients to deploy their platforms. These include the next-generation, cloud-native architecture of Teradata VantageCloud Lake.

    Teradata Features

    The different products that Teradata offers have various features which facilitate data management for customers. Some of the key capabilities of the solutions offered by Teradata include:

    • Connectivity: Users can benefit from connections to the mainframe or network-attached systems. The product provides its own extension for interaction with data stored in the tables. It also supports SQL.

    • Linear scalability: Teradata solutions are highly scalable and linear. The solution can handle large volumes of data effectively while also supporting the ability to scale up to 2048 nodes.

    • Load and unload utilities: The product offers features to move data in and out of the product's system effectively.

    • Mature optimizer: Part of this feature is Teradata Optimizer, which is an advanced product that can handle up to 64 joins in a single query.

    • Robust utilities: The solution includes multiple robust utilities in this category of features that facilitate data handling in and out of the product's systems. The tools include MultiLoad, FastLoad, and FastExport.

    • Shared nothing architecture: This set of features, connected to the architecture of Teradata, is known as “shared nothing architecture” because the nodes, processors, and disks all work independently. These capacities ensure better value for a given task.

    • Unlimited parallelism: These features divide large volumes of data into smaller processes that are executed in parallel. This contributes to the execution of complex tasks in a timely manner.

    Teradata Benefits

    Through its multiple solutions, Teradata offers various benefits for its clients. Some of these include:

    • The solution facilitates prototype creation and offers faster times for completion.

    • Through Teradata, users are able to use faster, simpler, and easier solutions for data-related tasks.

    • The product eliminates the need for unnecessary data movement, which contributes to performance improvements.

    • Teradata offers developers the ability to decide where in the architecture different parts of an application run.

    • Teradata allows database administrators to manage databases from a single point of control.

    • The solution provides the option to get the same data on multiple deployment options.

    • The product supports Online Analytical Programming (OLAP) functions, which allows it to perform a complex analytical process of data.

    • Teradata uses the Service Workstation to provide a single operation view for the multi-node system of the product.

    Reviews from Real Users

    Martin P., a services manager at Bytes Systems Integration, describes Teradata as a product that is very fast with good database control and excellent support.

    Blaine V., principal at Insight Data Consulting, rates Teradata highly because of its excellent native features, highly stable, and impressive automation.

    Sample Customers
    1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
    Netflix
    Top Industries
    REVIEWERS
    Computer Software Company34%
    Insurance Company11%
    Manufacturing Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Computer Software Company13%
    Financial Services Firm13%
    Manufacturing Company8%
    Healthcare Company7%
    REVIEWERS
    Comms Service Provider26%
    Computer Software Company22%
    Financial Services Firm9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm26%
    Computer Software Company10%
    Manufacturing Company8%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise19%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise70%
    REVIEWERS
    Small Business33%
    Midsize Enterprise11%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise77%
    Buyer's Guide
    Azure Data Factory vs. Teradata
    March 2024
    Find out what your peers are saying about Azure Data Factory vs. Teradata and other solutions. Updated: March 2024.
    770,141 professionals have used our research since 2012.

    Azure Data Factory is ranked 3rd in Cloud Data Warehouse with 81 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Azure Data Factory is rated 8.0, while Teradata is rated 8.2. The top reviewer of Azure Data Factory writes "The data factory agent is quite good but pricing needs to be more transparent". On the other hand, the top reviewer of Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". Azure Data Factory is most compared with Informatica PowerCenter, Informatica Cloud Data Integration, Alteryx Designer, Snowflake and IBM InfoSphere DataStage, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Azure Data Factory vs. Teradata 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.