Oracle Big Data Appliance vs Teradata comparison

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742 views|568 comparisons
71% willing to recommend
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5,643 views|4,710 comparisons
87% willing to recommend
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Executive Summary

We performed a comparison between Oracle Big Data Appliance and Teradata based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Oracle Big Data Appliance vs. Teradata Report (Updated: May 2024).
772,679 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
"This is a comprehensive solution that is easy to deploy.""Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.""The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."

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"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable.""The most valuable features are the Shared-nothing architecture and data protection functionality.""Things have started moving faster in my company, such as data retrieval happens more quickly.​""I've never had any issues with scalability.""The ability to handle machine data parallel processing is the most valuable feature of Teradata.""The key advantages are Performance when processing Terabytes of data and scalability.""Cuts time to process huge amounts of data with efficient analytical queries.""It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

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Cons
"It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier.""From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera.""The product should be simplified for the average user."

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"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency.""Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required).""It needs a teaching web site with more training on third-party tools used for BI.""The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud.""The following could be better: licensing, architecture openness, integration with other tools.""Teradata is a bit late for the cloud.""The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues.""An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

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Pricing and Cost Advice
  • "Oracle's prices are too high compared to others in the market."
  • More Oracle Big Data Appliance 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:Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard.
    Top Answer:From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera. Oracle could also improve Big Data… more »
    Top Answer:I use Big Data Appliance to have a single source of truth for my data and to keep all my data in one place.
    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
    14th
    out of 35 in Data Warehouse
    Views
    742
    Comparisons
    568
    Reviews
    1
    Average Words per Review
    235
    Rating
    8.0
    3rd
    out of 35 in Data Warehouse
    Views
    5,643
    Comparisons
    4,710
    Reviews
    18
    Average Words per Review
    454
    Rating
    7.6
    Comparisons
    Learn More
    Overview

    Oracle Big Data Appliance is a flexible, high-performance, secure platform for running diverse workloads on Hadoop and NoSQL systems. With Oracle Big Data SQL, Oracle Big Data Appliance extends Oracle’s industry-leading implementation of SQL to Hadoop and NoSQL systems. By combining the newest technologies from the Hadoop ecosystem and powerful Oracle SQL capabilities together on a single pre-configured platform, Oracle Big Data Appliance is uniquely able to support rapid development of new Big Data applications and tight integration with existing relational data.

    For more information on Oracle Big Data Appliance, visit Oracle.com

    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
    Caixa Bank
    Netflix
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company10%
    Government8%
    University8%
    REVIEWERS
    Comms Service Provider29%
    Computer Software Company21%
    Financial Services Firm8%
    Energy/Utilities Company8%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company10%
    Manufacturing Company8%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    REVIEWERS
    Small Business32%
    Midsize Enterprise11%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise77%
    Buyer's Guide
    Oracle Big Data Appliance vs. Teradata
    May 2024
    Find out what your peers are saying about Oracle Big Data Appliance vs. Teradata and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Oracle Big Data Appliance is ranked 14th in Data Warehouse while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Oracle Big Data Appliance is rated 8.0, while Teradata is rated 8.2. The top reviewer of Oracle Big Data Appliance writes "Fast, and you don't need technical expertise to use it and produce results". 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". Oracle Big Data Appliance is most compared with Oracle Exadata, Apache Hadoop and Microsoft Azure Synapse Analytics, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Oracle Big Data Appliance vs. Teradata report.

    See our list of best 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.