Adobe Campaign vs Teradata comparison

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87% willing to recommend

Adobe Campaign

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Adobe Campaign are competing platforms in the enterprise data management and marketing automation sector. Teradata has the upper hand in data management due to its scalability, while Adobe Campaign is preferred for marketing automation.

Features: Teradata offers advanced analytics, extensive data handling, and integration capabilities. Adobe Campaign provides marketing automation tools, personalized customer interaction options, and seamless integration with other Adobe products.

Ease of Deployment and Customer Service: Teradata is known for its robust deployment model for large-scale data operations and powerful support services. Adobe Campaign has a straightforward deployment process in marketing contexts but requires ongoing support for full utilization.

Pricing and ROI: Teradata features a higher initial setup cost, promising significant ROI through efficient data management. Adobe Campaign offers competitive and flexible pricing options with quicker ROI in marketing applications.

To learn more, read our detailed Adobe Campaign vs. Teradata Report (Updated: April 2025).

Adobe Campaign vs. Teradata

April 2025

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Helped 851,604 peers since 2012

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 Campaign

Ranking in Marketing Management

8th

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Marketing Management

6th

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 (17th), Relational Databases Tools (8th), Data Warehouse (3rd), BI (Business Intelligence) Tools (10th), Cloud Data Warehouse (6th)

Mindshare comparison

As of May 2025, in the Marketing Management category, the mindshare of Adobe Campaign is 4.8%, down from 5.5% compared to the previous year. The mindshare of Teradata is 3.6%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Marketing Management

Featured Reviews

SM17

Technology Associate at Goldman Sachs

Though it is good for the analytics part, it needs to be made less complex for users

The problems we faced with Adobe Campaigns in my company stemmed from the fact that it was very complex software. In my company, it did not allow us to expose APIs to do the stuff we require in our company. The aforementioned area can be considered for improvement in the product.

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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

"Analytics was a good part of Adobe Campaign."

"It is a stable solution."

"The tool helps store and manage our data. I don't need to be a pro in SQL, but I can still run queries and get the exact data I want. Some workflows help me get data from any table and send it to any platform without expert SQL knowledge. I can still export complicated data anywhere."

"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"It is a highly robust software solution."

"Teradata's pretty fast."

"The performance is great, we are able to query our data in one operation."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

"The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems."

"Intelliflex is very scalable. In fact, scalability has improved 100 times by Intelliflex, in my personal opinion."

More Teradata pros

Cons

"The dashboard is perfect. The UI could be more user-friendly because the buttons are pretty small. Only someone who knows where to find them will easily locate them. New users might have difficulty finding options. Since I've been working with it for a while, I don't have that problem."

"Adobe Campaign needs to improve the UI because it is a bit old. Sometimes, the platform is a bit slow."

"The problems we faced with Adobe Campaigns in my company stemmed from the fact that it was very complex software."

"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."

"The initial setup is complex because there are a lot of factors that come into play, including the amount of software and applications that require access."

"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."

"It could use some more advanced analytics relating to structured and semi-structured data."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

"From my perspective, it would be good if they gave better ITIN/R plugins to use the data for AI modeling, or data science modeling. We can do it now; however, it could be more elegant in terms of interfacing."

"Needs compatibility with more Big Data platforms."

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

More Teradata cons

Pricing and Cost Advice

"It will be a bit expensive because it is an Adobe product."

"The solution is cheaper than Salesforce. It is useful for small banks that want to trigger emails."

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

"Teradata is currently making improvements in this area."

"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."

"In this day and age, we want to get things done quickly. So, we go to the AWS Marketplace."

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

"The initial cost may seem high, but the TCO is low."

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

"The price of Teradata is expensive. However, what they deliver they are outstanding. If you're looking for an inexpensive solution to run a database, this isn't your tool. It's the Ferrari of databases for data warehousing."

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

22%

Educational Organization

18%

Manufacturing Company

Comms Service Provider

Financial Services Firm

26%

Computer Software Company

11%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Adobe Campaign?

Analytics was a good part of Adobe Campaign.

What needs improvement with Adobe Campaign?

The dashboard is perfect. The UI could be more user-friendly because the buttons are pretty small. Only someone who knows where to find them will easily locate them. New users might have difficulty...

What is your primary use case for Adobe Campaign?

We use Adobe Campaign to trigger emails, set reminders, and manage customer data in an omnichannel environment.

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,...

Salesforce Marketing Cloud vs Adobe Campaign

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Compared 13% of the time

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Compared 10% of the time

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Compared 7% of the time

IBM Db2 Database vs Teradata

Compared 6% of the time

MySQL vs Teradata

Compared 6% of the time

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Product Reports

Download Adobe Campaign product report

Marketing Management

May 2025

Download Teradata product report

April 2025

Also Known As

Neolane Campaign

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

Overview

It's a set of solutions that help you personalize and deliver campaigns across all of your online and offline channels.

- Simplify campaign management

Manage your data and monitor the performance of your cross-channel campaigns from one place.

- Deliver engaging email

Use personalized, contextual and real-time email messages to deliver a compelling customer experience.

- Automate campaigns

Use marketing automation to increase your campaign productivity and reduce your time to market.

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

Euromoney Learning Solutions, Cr_dit Agricole Nord-Est, a Synergie GIE regional bank, Renault, HD Supply, Dior, Mercola.com

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