SAP Replication Server vs Teradata comparison

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SAP Replication Server

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Executive SummaryUpdated on Jan 12, 2025

SAP Replication Server and Teradata compete in the data replication and management category. SAP Replication Server appears to have the upper hand in terms of pricing and ease of deployment, while Teradata stands out for its comprehensive analytics capabilities and scalable architecture.

Features: SAP Replication Server offers high-performance data replication, real-time data integration, and cross-database replication. Teradata provides comprehensive analytics capabilities, seamless data warehousing, and advanced scalability with its shared-nothing architecture.

Room for Improvement: SAP Replication Server could improve by enhancing cross-platform support, expanding its analytics capabilities, and addressing scalability issues. Teradata could benefit from simplifying its licensing model, improving ease of use for beginners, and reducing complexity in performance tuning.

Ease of Deployment and Customer Service: SAP Replication Server is easy to deploy and supported by responsive customer service. Teradata ensures a smooth deployment process with detailed documentation and specialized support, further enhancing user experience.

Pricing and ROI: SAP Replication Server is cost-effective in setup, offering a quicker return on investment due to straightforward integration. Teradata, while involving a higher initial cost, offers significant ROI through its expansive capabilities and long-term scalability.

To learn more, read our detailed SAP Replication Server vs. Teradata Report (Updated: April 2025).

SAP Replication Server vs. Teradata

April 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

SAP Replication Server

Ranking in Data Integration

30th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Database Development and Management (18th)

Teradata

Ranking in Data Integration

17th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), 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 Data Integration category, the mindshare of SAP Replication Server is 0.5%, up from 0.4% compared to the previous year. The mindshare of Teradata is 1.0%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

Imran Rafi

SAP HXM & Integration consultant at Kaar Technologies

Foolproof stability and robust system

SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience. One of its notable features is real-time replication, which ensures that data changes are replicated immediately. This is particularly advantageous when we need to execute full processes promptly.

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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

"SAP is renovating different things. We are using external tools to connect as of now. It is going well, and now the new generation integration platforms are going to be pretty easy."

"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."

"SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience."

"We can customize any workflow and we also like the business domain modeling that can be done."

"It speeds up the performance in terms of how fast you are able to access the data, look at it, get it reported to you, and send it to somebody. It also reduces the amount of storage."

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

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

"It is a highly robust software solution."

"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."

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

"It's very, very fast"

"It is a stable program."

"Cuts time to process huge amounts of data with efficient analytical queries."

More Teradata pros

Cons

"I would like to see it become mobile-friendly."

"The private solution is expensive. If you're in a situation where you're paying IBM or AWS or somebody just to host you specifically, you're paying people to run it and you're taking care of all the upgrades."

"There is room for improvement in terms of pricing and faster support."

"Improvement is a never ending story, and HANA is doing some improvements. We are able to adopt that, and we have to do it by integration with HANA. They are very major changes that we need to see."

"If someone wants to replicate their data from Sybase to a newer technology for data warehousing or other purposes, it would be better if they supported those."

"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."

"The SQL Assistant is very basic. This tool can be improved for usability."

"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."

"Teradata is somewhat late in adopting cloud technology."

"It would help to make scaling easier with a reduced cost. "

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

"I've been using the same UI for 20 years in Teradata. It could use some updating. Adding more stability around Teradata Studio would be outstanding. Teradata Studio is a Java-based version of their tool. It's much better now, but it still has some room for improvement."

"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."

More Teradata cons

Pricing and Cost Advice

"You can pick one of the hosted cloud services as opposed to owning it and doing it yourself. Your cost of ownership on the hardware, the data storage, and the maintenance all go down. It depends on what service you use."

"It's a very expensive solution."

"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."

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

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

"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 price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."

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

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

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

15%

Manufacturing Company

11%

Computer Software Company

Healthcare Company

Financial Services Firm

26%

Computer Software Company

11%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about SAP Replication Server?

SAP Replication Server is an application that I consider to be a robust system. It has proven to be highly reliable in my experience.

What is your experience regarding pricing and costs for SAP Replication Server?

It's a pretty good product and stable.

What needs improvement with SAP Replication Server?

SAP can provide better support for cross-database replication to newer technologies. The product supports Oracle, but I am not aware of what other technologies it supports. If someone wants to repl...

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,...

Qlik Replicate vs SAP Replication Server

Comparisons

Compared 43% of the time

Fivetran vs SAP Replication Server

Compared 30% of the time

Oracle GoldenGate vs SAP Replication Server

Compared 27% of the time

More SAP Replication Server Competitors

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

Database Development and Management

April 2025

Download SAP Replication Server product report

Download Teradata product report

March 2025

Also Known As

Sybase Replication Server

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

Overview

Information and data-driven insight is what powers business today. But to get the most from your enterprise data, you need a way to bring transactional, streaming, social media, and other data together – regardless of its format and whether it’s structured or unstructured – and be able to analyze it. The challenge is moving, replicating, and centralizing a wide variety of data efficiently, cost-effectively, and quickly enough to meet business demands for active insight. SAP® Replication Server® can help. SAP Replication Server enables the continuous movement of mission-critical application data.

SAP

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

Medtronic, Cirque du Soleil, Antarc, B&G Manufacturing, EarlySense, eBay, Ferrero, James Austin Company, Lenovo, Sagem, RAK Ceramics, Vodafone

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