AWS Lake Formation vs Teradata comparison

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AWS Lake Formation

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Executive SummaryUpdated on Jul 27, 2025

Teradata and AWS Lake Formation are competing in the data management and analytics category. AWS Lake Formation seems to have the upper hand due to its advanced features and integration capabilities within the AWS ecosystem.

Features: Teradata offers integrated data analytics, scalability, and real-time processing. AWS Lake Formation provides automated data lake creation, comprehensive security controls, and seamless integration with other AWS services.

Room for Improvement: Teradata could enhance its cloud integration, ease of use for less technical users, and further customize analytics features. AWS Lake Formation might improve its user interface, support for non-AWS services, and data migration tools.

Ease of Deployment and Customer Service: Teradata provides a robust deployment model with customization options and responsive support. AWS Lake Formation offers an intuitive setup process, benefiting from AWS's extensive support ecosystem.

Pricing and ROI: Teradata presents competitive pricing with significant initial setup investments and potential for substantial ROI. AWS Lake Formation provides cost-efficient, scalable solutions, enabling quicker ROI when combined with other AWS services.

To learn more, read our detailed AWS Lake Formation vs. Teradata Report (Updated: July 2025).

AWS Lake Formation vs. Teradata

July 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

AWS Lake Formation

Ranking in Cloud Data Warehouse

13th

Average Rating

7.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Cloud Data Warehouse

4th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (15th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (9th), Marketing Management (6th)

Mindshare comparison

As of August 2025, in the Cloud Data Warehouse category, the mindshare of AWS Lake Formation is 5.8%, up from 5.3% compared to the previous year. The mindshare of Teradata is 8.7%, down from 9.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse

Featured Reviews

Ramesh Raghavan

US South Lead, Accenture AWS Business Group at Accenture

Centralized repository, offers various cataloging mechanisms for quick data retrieval but data governance capabilities could be better

There are a couple of areas for improvement with Lake Formation. One of the main challenges, especially when dealing with rich media content, like in MarTech (Marketing Technology) or ad agencies, is its versatility. Some clients feel that Lake Formation doesn’t meet their needs and they tend to prefer competitor products for those specific use cases. The second area for improvement is in data governance. Specifically, Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance. This includes managing the entire data lineage—where the data originated, how it moves, and where it’s currently stored. The visibility of the data as it evolves is crucial, and that’s where more advanced governance capabilities would be beneficial.

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RajeshKumar25

Principal Consultant & Director at Quensulting

Harnessing advanced parallelism for top performance while embracing cloud trends

Teradata is primarily used for data warehousing across all customers. My clients have built-in applications that use Teradata, and their use varies from customer to customer, depending on the industry and database size. The primary function is as an OLAP analytical ecosystem Scalability is…

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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."

"AWS Lake Formation works hand in hand with other products."

"We use AWS Lake Formation typically for the data warehouse."

"The solution has many features that are applicable to events such as audits."

"We have observed measurable benefits in terms of cost savings, time savings, resource savings, and efficiency improvements in our workflows."

"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."

"I can easily move data from cold storage to regular storage."

"AWS Lake Formation lets you see all your data and tables on one screen."

More AWS Lake Formation pros

"Designing the database is easy."

"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."

"It has reduced a lot of reworking on maintaining indexes, partitions, etc."

"It has massive parallel processing ability to do large amounts of concurrent querying."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"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."

"The flexibility in design is very good."

More Teradata pros

Cons

"You need to have data experience to use the product."

"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."

"AWS Lake Formation's pricing could be cheaper."

"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."

"For the end-users, it's not as user-friendly as it could be."

"If I could improve AWS Lake Formation, I would add more integrations with SageMaker."

"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."

"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."

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"The tool's flexibility and capacity for expansion are areas of concern where improvements are required."

"Needs compatibility with more Big Data platforms."

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

"I would like to see more integration with many different types of data."

"The solution’s pricing, scalability, and technical support response time could be improved."

"The increasing volumes of data demand more and more performance."

"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."

More Teradata cons

Pricing and Cost Advice

"AWS Lake Formation is a bit expensive."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

"It's a very expensive product."

"The cost is significantly high."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

"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."

"The tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"The product cost is high for what the client gets. There may be more cost-effective solutions for small and medium-sized organizations."

More Teradata pricing and cost advice

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Comparison Review

it_user232068

Senior Data Architect at a pharma/biotech company with 1,001-5,000 employees

Aug 5, 2015

Netezza vs. Teradata

Original published at https://www.linkedin.com/pulse/should-i-choose-net Two leading Massively Parallel Processing (MPP) architectures for Data Warehousing (DW) are IBM PureData System for Analytics (formerly Netezza) and Teradata. I thought talking about the similarities and differences…

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

11%

Manufacturing Company

Media Company

Financial Services Firm

26%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about AWS Lake Formation?

It is seamlessly integrated within the AWS ecosystem, making it straightforward to manage access patterns for AWS-native services.

What is your experience regarding pricing and costs for AWS Lake Formation?

The pricing is expensive compared to OpenStack, but cheaper than other cloud environments. It's middle-of-the-road for regular storage yet very cost-effective when using Amazon Glacier for data.

What needs improvement with AWS Lake Formation?

If I could improve AWS Lake Formation, I would add more integrations with SageMaker. I would have built-in functions that provide statistics for the data when using the GUI, such as SageMaker Insig...

Comparing Teradata and Oracle Database, which product do you think is better and why?

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 simi...

Which companies use Teradata and who is it most suitable for?

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 comp...

Is Teradata a difficult solution to work with?

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,...

Snowflake vs AWS Lake Formation

Comparisons

Compared 29% of the time

Azure Data Factory vs AWS Lake Formation

Compared 21% of the time

Amazon Redshift vs AWS Lake Formation

Compared 20% of the time

BigQuery vs AWS Lake Formation

Compared 11% of the time

Microsoft Azure Synapse Analytics vs AWS Lake Formation

Compared 7% of the time

More AWS Lake Formation Competitors

Oracle Exadata vs Teradata

Compared 12% of the time

SQL Server vs Teradata

Compared 8% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

OpenText Analytics Database (Vertica) vs Teradata

Compared 6% of the time

More Teradata Competitors

Product Reports

Download AWS Lake Formation product report

AWS Lake Formation

August 2025

Download Teradata product report

July 2025

Also Known As

No data available

IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture

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.

Amazon Web Services (AWS)

Teradata is a scalable data analytics platform designed to meet enterprise demands for large-scale data management and processing, focusing on performance, scalability, and security for complex query executions.

As a leading data warehousing solution, Teradata integrates advanced analytics enabling organizations to derive insights from massive datasets. It supports high-volume data workloads with its architecture optimized for analytical queries. Users benefit from its robust scalability, allowing seamless expansion as data grows. Teradata's SQL engine is compatible with a wide range of data types, ensuring flexibility in data analysis. With advanced security measures, it protects sensitive data across various environments, providing peace of mind to users handling critical information.

What are the most important features of Teradata?

Linear Scalability: Easily expands data processing capabilities to handle increasing data loads without performance degradation.
Advanced Analytics: Supports complex analytical operations integrating machine learning and AI for predictive insights.
SQL Compatibility: Offers a comprehensive SQL interface that supports complex queries across diverse data types.
Data Security: Implements rigorous security protocols to protect data integrity and confidentiality.

What benefits and ROI should users look for?

Improved Decision-Making: Derive actionable insights quickly for strategic business decisions.
Cost Efficiency: Optimized resource usage reduces operational costs associated with data processing.
Increased Productivity: Streamlined data operations save time, allowing teams to focus on analysis.
Enhanced Scalability: Seamless growth without significant additional investment as data volumes increase.

Teradata is widely used in industries like finance, telecommunications, and healthcare, where data-driven decisions are critical. Companies leverage its robust analytics capabilities to enhance customer experiences, streamline operations, and ensure compliance with regulatory requirements. In these sectors, quick access to data insights can significantly impact competitive advantage.

Sample Customers

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

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