AWS Lake Formation vs Teradata comparison

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Amazon Web Services (AWS) Logo
5,155 views|4,294 comparisons
75% 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 AWS Lake Formation 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 AWS Lake Formation vs. Teradata Report (Updated: March 2024).
768,415 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
"It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.""We use AWS Lake Formation typically for the data warehouse.""The solution has many features that are applicable to events such as audits.""The solution is quite good at handling analytics. It's done a good job at helping us centralize them.""The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients."

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"I've never had any issues with scalability.""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.""The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers.""It's very mature from a technology perspective.""The performance is great, we are able to query our data in one operation.""Cuts time to process huge amounts of data with efficient analytical queries.""Viewpoint, the detailed query logs and performance statistics are valuable features.""I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

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Cons
"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data.""For the end-users, it's not as user-friendly as it could be.""The solution could make improvements around orchestration and doing some automation stuff on AWS front automation. It would be useful if we could use automation to build images and use hardened images which are CIS compliant.""AWS Lake Formation's pricing could be cheaper.""In our experience what could be improved are not the support, performance or monitoring, but at a managerial level, the very expensive professional services of AWS. This could be an area of improvement for them. It's too expensive to acquire their support."

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"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.""It could use some more advanced analytics relating to structured and semi-structured data.""Teradata's UI could be more user-friendly.""An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly.""I'm not sure about the unstructured data management capabilities. It could be improved.""Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve.""Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly.""There is some improvement required on OLTP level and some analytical function is missing."

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Pricing and Cost Advice
  • "AWS Lake Formation is a bit expensive."
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  • "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."
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    Comparison Review
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    Questions from the Community
    Top Answer:It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.
    Top Answer:There are significant challenges when dealing with external applications, and vendors, or pursuing a hybrid cloud strategy because AWS Lake Formation is specific to AWS and does not integrate… 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
    12th
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    1
    Average Words per Review
    578
    Rating
    6.0
    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

    AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

    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
    bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday
    Netflix
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company13%
    Manufacturing Company8%
    Healthcare Company5%
    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
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business33%
    Midsize Enterprise11%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise9%
    Large Enterprise77%
    Buyer's Guide
    AWS Lake Formation vs. Teradata
    March 2024
    Find out what your peers are saying about AWS Lake Formation vs. Teradata and other solutions. Updated: March 2024.
    768,415 professionals have used our research since 2012.

    AWS Lake Formation is ranked 12th in Cloud Data Warehouse with 5 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. AWS Lake Formation is rated 7.6, while Teradata is rated 8.2. The top reviewer of AWS Lake Formation writes "Strategically aligning data management in a multi-cloud environment with significant reporting challenges". 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". AWS Lake Formation is most compared with Snowflake, Azure Data Factory, Amazon Redshift, Microsoft Azure Synapse Analytics and BigQuery, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our AWS Lake Formation vs. Teradata report.

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    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.