Adobe Web Experience Management vs Teradata comparison

Adobe Web Experience Manage...

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Adobe Web Experience Management are competitive in data analytics and digital experience management. Adobe seems to have the upper hand with its feature-rich offerings justifying its cost.

Features: Teradata provides robust data warehousing, high-performance analytics, and large volume processing. Adobe Web Experience Management includes tools for personalized digital experiences, content management, and targeted marketing, offering a superior feature set for managing digital content.

Ease of Deployment and Customer Service: Adobe provides a streamlined deployment model and comprehensive support for easy implementation. Teradata may require more specialized expertise, making onboarding more complex. Adobe offers accessible and responsive customer service, facilitating easier startup and issue resolution.

Pricing and ROI: Teradata typically requires a higher setup cost due to infrastructure demands but offers substantial long-term ROI through powerful analytics. Adobe, while expensive, delivers strong ROI by boosting digital engagement and marketing efficiency, with initial investments leading to improved customer interactions and business outcomes.

To learn more, read our detailed Adobe Web Experience Management vs. Teradata Report (Updated: March 2025).

Adobe Web Experience Management vs. Teradata

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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

Adobe Web Experience Manage...

Ranking in Customer Experience Management

12th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Customer Experience Management

6th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the Customer Experience Management category, the mindshare of Adobe Web Experience Management is 1.7%, down from 3.9% compared to the previous year. The mindshare of Teradata is 4.4%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Customer Experience Management

Featured Reviews

Syed Hasan

Specialist Leader at Deloitte

It has a lot of features, and it is very easy to learn, use, integrate, and manage

It would be better if it also supports some styling. Currently, whenever we have to do design for a particular client according to their brand strategy, it takes a good amount of effort. Adobe never focuses on this area. They say that you design your pages, templates, etc. If they can define common components or a common section of the style sheet so that if you want to have a button by default, you can go and just mention the specifications, such as the color code, and those specifications are automatically followed across the whole site or multiple sites according to the brand strategy. Such functionality will be helpful because currently, it takes a lot of effort to manage them separately. They can increase the number of components in terms of combinations. For example, if I take an image and a text component, currently, Adobe gives you just an image and text component. It should provide multiple versions, such as image, text, and video. That's because, on most of the sites, clients always come up with this combination. They want to have a video. They want to have an image, and they want to have some text. There could be options to have any of the following combinations: * The image on the left, the video on the right, and the text at the bottom. * The image on the left, the video on the right, and the text at the top. * The image in the center, the video on top, and the text at the bottom. If they can come up with such permutations and combinations, it will make the work easier. It will help us in putting out the site in a faster way, instead of us having to do the regular development every time. They can come up with some out-of-the-box components to help you drag and drop a video that will be displayed in a particular player. Currently, some of the features are not available, and we have to customize them. They can look into the top video players that are being used by most of the end-users from a location and provide out-of-the-box components. They can look into the features of YouTube, Vimeo, and other top players.

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SurjitChoudhury

Data engineer at Cocos pt

Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities

We created and constructed the warehouse. We used multiple loading processes like MultiLoad, FastLoad, and Teradata Pump. But those are loading processes, and Teradata is a powerful tool because if we consider older technologies, its architecture with nodes, virtual processes, and nodes is a unique concept. Later, other technologies like Informatica also adopted the concept of nodes from Informatica PowerCenter version 7.x. Previously, it was a client-server architecture, but later, it changed to the nodes concept. Like, we can have the database available 24/7, 365 days. If one node fails, other nodes can take care of it. Informatica adopted all those concepts when it changed its architecture. Even Oracle databases have since adapted their architecture to them. However, this particular Teradata company initially started with its own different type of architecture, which major companies later adopted. It has grown now, but initially, whatever query we sent it would be mapped into a particular component. After that, it goes to the virtual processor and down to the disk, where the actual physical data is loaded. So, in between, there's a map, which acts like a data dictionary. It also holds information about each piece of data, where it's loaded, and on which particular virtual processor or node the data resides. Because Teradata comes with a four-node architecture, or however many nodes we choose, the cost is determined by that initially. So, what type of data does each and every node hold? It's a shared-no architecture. So, whatever task is given to a virtual processor it will be processed. If there's a failure, then it will be taken care of by another virtual processor. Moreover, this solution has impacted the query time and data performance. In Teradata, there's a lot of joining, partitioning, and indexing of records. There are primary and secondary indexes, hash indexing, and other indexing processes. To improve query performance, we first analyze the query and tune it. If a join needs a secondary index, which plays a major role in filtering records, we might reconstruct that particular table with the secondary index. This tuning involves partitioning and indexing. We use these tools and technologies to fine-tune performance. 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. But, these technologies are quite old now. With newer big data technologies, we've worked with a four-layer architecture, pulling data from Hadoop Lake to Teradata. We configure Teradata with the appropriate hostname and credentials, and use BTEQ queries to load data. Previously, we converted the data warehouse to a CLD model as per Teradata's standardized procedures, moving from an ETL to an EMT process. This allowed us to perform gap analysis on missing entities based on the model and retrieve them from the source system again. We found Teradata integration straightforward and compatible with other tools.

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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

"Good content and digital management capabilities."

"The templates and components that come out of the box are very helpful, especially in terms of the content fragments and experience fragments. Every client would like to have some templates and components, and they would like to cut down the effort of having to create every component that's customized. So, they try to use them out of the box. Other than that, the user roles and permissions workflows, third-party integrations, and system integration are the features that are very important."

"The most valuable feature is the ease of running queries."

"The key advantages are Performance when processing Terabytes of data and scalability."

"It's very mature from a technology perspective."

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"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 capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."

More Teradata pros

Cons

"Unable to handle very large video files."

"It would be better if it also supports some styling. Currently, whenever we have to do design for a particular client according to their brand strategy, it takes a good amount of effort. Adobe never focuses on this area. They say that you design your pages, templates, etc. If they can define common components or a common section of the style sheet so that if you want to have a button by default, you can go and just mention the specifications, such as the color code, and those specifications are automatically followed across the whole site or multiple sites according to the brand strategy. Such functionality will be helpful because currently, it takes a lot of effort to manage them separately."

"It could be a bit more user-friendly."

"Limited interest and success in some areas make us hesitate about upgrading."

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

"The scalability could be better. The on-premises solution is always more complicated to scale."

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

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

"The current operational approach needs improvement."

"Azure Synapse SQL has evolved from a solely dedicated support tool to a data lake. It can store data from multiple systems, not just traditional database management systems. On the other hand, Teradata has limitations in loading flat files or unstructured data directly into its warehouse. In Azure Synapse SQL, we can implement machine learning using Python scripts. Additionally, Azure Synapse SQL offers advanced analytical capabilities compared to Teradata. Teradata is also expensive."

More Teradata cons

Pricing and Cost Advice

"It's definitely an expensive solution, but it comes with a lot of features and scalability. As compared to other content management systems that we have in the market, AEM is the costliest one. There is no hidden or additional fee."

"Teradata is currently making improvements in this area."

"The price of the solution could be reduced, it is expensive."

"Teradata is a very expensive solution."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

"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."

"The cost is significantly high."

"Teradata is not cheap, but you get what you pay for."

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

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

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Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

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Large Enterprise

Midsize Enterprise

Small Business

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Questions from the Community

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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...

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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...

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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,...

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Comparisons

No data available

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 7% of the time

Snowflake vs Teradata

Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 7% of the time

More Teradata Competitors

Product Reports

Customer Experience Management

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Also Known As

No data available

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

Overview

Adobe Web Experience Management (WEM) is a comprehensive content management system that empowers businesses to create, manage, and deliver personalized digital experiences across multiple channels. With its intuitive interface and robust features, WEM enables organizations to streamline their content creation process, enhance customer engagement, and drive conversions.

One of the key features of Adobe WEM is its powerful content-authoring capabilities. The platform provides a user-friendly interface that allows content creators to easily create and edit web pages, blogs, and other digital assets. With its drag-and-drop functionality and customizable templates, users can quickly design and publish content without the need for technical expertise.

Another standout feature of Adobe WEM is its robust personalization capabilities. The platform leverages advanced targeting and segmentation tools to deliver personalized experiences to each individual user. By analyzing user behavior and preferences, WEM enables businesses to deliver relevant content and offers, increasing customer engagement and driving conversions.

Adobe WEM also offers seamless integration with other Adobe products, such as Adobe Analytics and Adobe Target. This integration allows businesses to gain valuable insights into user behavior and preferences, enabling them to optimize their digital experiences and drive better results. Additionally, WEM's integration with Adobe Target enables businesses to run A/B tests and personalized campaigns, further enhancing the effectiveness of their marketing efforts.

Furthermore, Adobe WEM provides comprehensive content management capabilities, including version control, workflow management, and content reuse. These features enable businesses to efficiently manage their content lifecycle, ensuring consistency and accuracy across all channels.

Adobe

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

Rundfunk Berlin-Brandenburg, University of Georgia, The University of Auckland, Dalhousie University, KfW Bankengruppe, IG Group, National Australia Bank, Investec, New Mexico Department of Transportation (NMDOT), Swiss Federal Railways (SBB), Singapore Tourism Board, European Southern Observatory (ESO)

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Adobe Web Experience Management vs. Teradata