Azure Data Factory vs Teradata comparison

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8,287 views|6,470 comparisons
91% willing to recommend
Teradata Logo
6,154 views|5,080 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).
768,857 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
"We have been using drivers to connect to various data sets and consume data.""The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows.""Allows more data between on-premises and cloud solutions""UI is easy to navigate and I can retrieve VTL code without knowing in-depth coding languages.""Data Flow and Databricks are going to be extremely valuable services, allowing data solutions to scale as the business grows and new data sources are added.""Data Factory itself is great. It's pretty straightforward. You can easily add sources, join and lookup information, etc. The ease of use is pretty good.""I like how you can create your own pipeline in your space and reuse those creations. You can collaborate with other people who want to use your code.""The scalability of the product is impressive."

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"It is a solid database a lot of different tools to move data.""It handles large amounts of information with a linear performance increase, in relation to a HW investment.""It's very, very fast""I like this solution's ease of design and the fact that its performance is quite good. It is stable as well.""Teradata's pretty fast.""Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools""The solution scales well on the cloud.""Things have started moving faster in my company, such as data retrieval happens more quickly.​"

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Cons
"In the next release, it's important that some sort of scheduler for running tasks is added.""Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful.""Lacks a decent UI that would give us a view of the kinds of requests that come in.""There is no built-in function for automatically adding notifications concerning the progress or outline of a pipeline run.""Data Factory could be improved in terms of data transformations by adding more metadata extractions.""Data Factory's monitorability could be better.""The solution should offer better integration with Azure machine learning. We should be able to embed the cognitive services from Microsoft, for example as a web API. It should allow us to embed Azure machine learning in a more user-friendly way.""If the user interface was more user friendly and there was better error feedback, it would be helpful."

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"Teradata's UI could be more user-friendly.""The user interface needs to be improved.""I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement.""Teradata can improve the way it handles big data and unstructured data.""The SQL Assistant is very basic. This tool can be improved for usability.""Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect.""The cloud is the new challenge and the new opportunity.""We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

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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
    8,287
    Comparisons
    6,470
    Reviews
    46
    Average Words per Review
    489
    Rating
    8.0
    3rd
    out of 34 in Data Warehouse
    Views
    6,154
    Comparisons
    5,080
    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.
    768,857 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 Microsoft Azure Synapse Analytics, 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.