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SAP Replication Server vs Teradata comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Apr 5, 2026

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
56th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
7
Ranking in other categories
Database Development and Management (21st)
Teradata
Ranking in Data Integration
23rd
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (9th), Backup and Recovery (23rd), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (15th), Marketing Management (6th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (8th)
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of SAP Replication Server is 1.0%, up from 0.7% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Teradata1.2%
SAP Replication Server1.0%
Other97.8%
Data Integration
 

Featured Reviews

GagandeepSingh3 - PeerSpot reviewer
Principal Engineer at a tech services company with 1,001-5,000 employees
Good at handling replication, provides cross-database replication but SAP can provide better support for cross-database replication to newer technologies
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 replicate their data from Sybase to a newer technology for data warehousing or other purposes, it would be better if they supported those.
David Durand Velásquez - PeerSpot reviewer
Engineers at a consultancy with 11-50 employees
Delivers consistent performance and enables advanced analytics across complex data environments
Teradata stands out as a solid platform for managing and analyzing large volumes of data. Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments. One of its most notable strengths is the ability to run complex queries at high speed, which is essential for organizations that require timely and reliable analytics. Teradata offers a well-integrated ecosystem that supports working with different types of data and enables scalability as organizational needs grow. Its focus on advanced analytics, integration with modern business intelligence tools, and the ability to operate both on-premise and in the cloud make it a versatile solution for data warehousing and large-scale processing. Teradata's stability, technological maturity, and the availability of strong documentation and best practices are noteworthy. I consider Teradata to be a tool with great potential for any organization looking to enhance its analytical capabilities, optimize data processing, and move toward more data-driven decision-making. Teradata stands out as a solid platform for managing a large volume of data in different projects. Its architecture allows information to be processed efficiently while maintaining stable performance, even in high-demanding environments. A well-integrated AI ecosystem that supports working with different types of data and enables scalability as organizational needs grow across different kinds of enterprises or organizations. The focus on advanced analytics integration with modern business intelligence tools is particularly valuable. Teradata combines a powerful parallel process and optimizing SQL engine with a highly scalable architecture allowing businesses to execute complex queries and analytics in real-time. It supports multi-cloud, hybrid, and on-premise environments, giving organizations flexibility to choose the setup that best aligns with their strategy. One of the biggest strengths is the ability to unify disparate data sources and support high concurrency, enabling different teams, such as analytics, operations, BI, and data science, to access consistent, trusted data across the enterprise.

Quotes from Members

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

Pros

"The most valuable thing about this product is that it replicates data between SAP databases (ASE to IQ) very successfully."
"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."
"Currently, there is a Hadoop-based infrastructure with several engineers to maintain the data, and now, using SAP Replication Server, it has become automatic and requires fewer people to put data in the data warehouse."
"This product has a catalog with the location of all the objects which were replicated, and it's very simple to maintain."
"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."
"We use this solution for all kinds of communications like RFC, BAPI, IDoc, connecting with the orders, accounts, finance, data stuff, banking, everything."
"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."
"Teradata is a 100% stable environment."
"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."
"For large EDWH solutions, Teradata is the best."
"We moved from an Enterprise platform, to non-Enterprise and ended up with a machine that was 20X more powerful."
"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."
"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."
"Things have started moving faster in my company, such as data retrieval happens more quickly.​"
"There are two very useful features: one is the fast data input for more or less any online data, and two, it also has a lot of tools for data engineering or data manipulation that are compatible."
 

Cons

"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."
"I would like to see it become mobile-friendly."
"It's a very expensive solution."
"Setup was a little complex."
"It's complex. It's necessary to understand a little about infrastructure, like network LAN and VLAN environment."
"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."
"There is room for improvement in terms of pricing and faster support."
"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."
"Needs compatibility with more Big Data platforms."
"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."
"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."
"The Query Response time needs improving."
"The usability could be a bit better. It could be a bit more user-friendly."
"The solution needs improvement in its stability, support and pricing."
"​The initial setup was complex as we had to rewrite a lot of the code.​"
"The scalability could be better. The on-premises solution is always more complicated to scale."
 

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."
"The price of the solution could be reduced, it is expensive."
"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."
"It's a very expensive product."
"Teradata used to be expensive, but they have been lowering their prices."
"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."
"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."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"We had a lot of parties involved when purchasing from the AWS Marketplace. They are very flexible and aggressive in trying to close the deal. They are good at what they have to offer and listening to the customer. It's a two-way street."
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Comparison Review

it_user232068 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Construction Company
20%
Comms Service Provider
14%
Outsourcing Company
10%
Financial Services Firm
8%
Financial Services Firm
16%
Outsourcing Company
10%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise13
Large Enterprise53
 

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...
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,...
 

Also Known As

Sybase Replication Server
IntelliFlex, Aster Data Map Reduce, , QueryGrid, Customer Interaction Manager, Digital Marketing Center, Data Mover, Data Stream Architecture, Teradata Vantage Enterprise (DIY)
 

Overview

 

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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Find out what your peers are saying about SAP Replication Server vs. Teradata and other solutions. Updated: November 2026.
920,769 professionals have used our research since 2012.