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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
55th
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
21st
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
83
Ranking in other categories
Customer Experience Management (6th), Backup and Recovery (20th), Relational Databases Tools (7th), Data Warehouse (3rd), BI (Business Intelligence) Tools (13th), Marketing Management (5th), Cloud Data Warehouse (5th), Database Management Systems (DBMS) (6th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of SAP Replication Server is 0.9%, up from 0.6% compared to the previous year. The mindshare of Teradata is 1.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Teradata1.2%
SAP Replication Server0.9%
Other97.9%
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

"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."
"It's pretty good at handling replication, even under high load. It also provides cross-database replication, for example, from Sybase to Oracle."
"We can customize any workflow and we also like the business domain modeling that can be done."
"We use this solution for all kinds of communications like RFC, BAPI, IDoc, connecting with the orders, accounts, finance, data stuff, banking, everything."
"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."
"This product has a catalog with the location of all the objects which were replicated, and it's very simple to maintain."
"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."
"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."
"Our customers are very happy with the configuration."
"Teradata's MPP feature allowed the team to handle huge data sets on the scale of petabytes and perform analytics on those in near real-time when users queried for that data."
"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."
"The data processing, clustering, and distributed computing are impressive."
"It's simple to use and scalable."
"The performance is the key item we appreciate, we're able to easily trigger jobs and we have access to integrations for running jobs, it's easy to use for the most part, which is why I really like it, it's stable and reliable."
"Teradata is a 100% stable environment."
 

Cons

"There is a need to improve performance in high transactional processes."
"There is room for improvement in terms of pricing and faster support."
"Setup was a little complex."
"It's a very expensive solution."
"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."
"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."
"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."
"We are using an older version at the moment."
"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."
"There is some improvement required on OLTP level and some analytical function is missing."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"The solution’s pricing, scalability, and technical support response time could be improved."
"I would not say it was very performance efficient, but it was definitely good."
"Teradata's UI could be more user-friendly."
 

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 solution requires a license."
"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."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"The initial cost may seem high, but the TCO is low."
"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."
"​I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services​."
"I am using the free version of Teradata."
"​When looking into implementing this product, pricing is the main issue followed by technical expertise​."
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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
22%
Outsourcing Company
10%
Financial Services Firm
10%
Comms Service Provider
10%
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: September 2026.
915,341 professionals have used our research since 2012.