IBM InfoSphere Information Server vs Teradata comparison

IBM InfoSphere Information ...

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Executive SummaryUpdated on Jan 12, 2025

Teradata and IBM InfoSphere Information Server compete in the data management and integration domain. Teradata benefits from competitive pricing and support while IBM InfoSphere Information Server leads in features and data integration capabilities.

Features: Teradata provides scalable data warehousing, robust analytics, and advanced security. It provides real-time insights with a focus on data warehousing. IBM InfoSphere Information Server stands out with comprehensive data integration, governance, and quality management tools for enterprise-level data systems.

Room for Improvement: Teradata could improve its user interface to enhance accessibility for non-experts, increase its data integration capabilities, and offer more features specific to governance. IBM InfoSphere Information Server would benefit from simplifying its deployment process, making its pricing more competitive, and streamlining required system resources for better efficiency.

Ease of Deployment and Customer Service: IBM InfoSphere Information Server is complex to deploy but backed by strong customer support for managing enterprise integration tasks. Teradata offers a simpler deployment model focused on rapid data analytics, appealing to those with immediate data needs.

Pricing and ROI: Teradata is cost-effective with a lower initial setup cost, offering quick ROI suitable for budget-conscious companies. IBM InfoSphere Information Server commands a higher upfront investment, providing substantial ROI with its extensive feature sets for companies prioritizing comprehensive data strategies.

To learn more, read our detailed IBM InfoSphere Information Server vs. Teradata Report (Updated: April 2025).

IBM InfoSphere Information 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

IBM InfoSphere Information ...

Ranking in Data Integration

31st

Average Rating

8.4

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Metadata Management (7th)

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 IBM InfoSphere Information Server is 0.9%, up from 0.7% 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

UmeshKumar1

Business Analyst Team Lead at Accenture

Prompt support, reliable, but lacking scalability

IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool I have been using IBM InfoSphere Information Server for approximately five years. IBM InfoSphere Information Server is stable. IBM InfoSphere Information Server should be…

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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

"This solution is extremely flexible and scalable."

"The integration with different technologies is the most valuable feature."

"Stability-wise, I rate the solution a ten out of ten."

"IBM InfoSphere Information Server is stable."

"It is a stable solution. Stability-wise, I rate the solution a nine out of ten."

"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."

"Teradata effectively uses parallelism to the granular level, performing better than other databases."

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

"Teradata's most valuable feature is that it's easy to use."

"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."

"Things have started moving faster in my company, such as data retrieval happens more quickly."

"Teradata's best feature is its speed with historical data."

More Teradata pros

Cons

"Their technical support needs improvement."

"There are certain shortcomings in the cloud side of the solution, where improvements are required."

"This solution would benefit from the engine being made more lightweight."

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."

"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."

"It needs a teaching web site with more training on third-party tools used for BI."

"The solution needs improvement in its stability, support and pricing."

"The cloud is the new challenge and the new opportunity."

"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."

"They should add more connectors to different platforms."

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

"There is some improvement required on OLTP level and some analytical function is missing."

More Teradata cons

Pricing and Cost Advice

"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."

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

"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."

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

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

"The price of Teradata is on the higher side, and I think that it where they lose out on some of their business."

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

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

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

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%

Government

14%

Insurance Company

10%

Computer Software 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 IBM InfoSphere Information Server?

Stability-wise, I rate the solution a ten out of ten.

What needs improvement with IBM InfoSphere Information Server?

There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution cu...

What is your primary use case for IBM InfoSphere Information Server?

I use IBM InfoSphere Information Server in retail banking for transformation purposes.

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,...

IBM InfoSphere DataStage vs IBM InfoSphere Information Server

Comparisons

Compared 65% of the time

Oracle GoldenGate vs IBM InfoSphere Information Server

Compared 15% of the time

Qlik Replicate vs IBM InfoSphere Information Server

Compared 12% of the time

IBM InfoSphere Information Governance Catalog vs IBM InfoSphere Information Server

Compared 7% of the time

More IBM InfoSphere Information 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

Download IBM InfoSphere Information Server product report

Data Integration

March 2025

IBM InfoSphere Information Server report

Download Teradata product report

March 2025

Also Known As

InfoSphere Information Server, IBM Information Server

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

Overview

IBM InfoSphere Information Server is a market-leading data integration platform which includes a family of products that enable you to understand, cleanse, monitor, transform, and deliver data, as well as to collaborate to bridge the gap between business and IT. InfoSphere Information Server provides massively parallel processing (MPP) capabilities to deliver a highly scalable and flexible integration platform that handles a variety of data volumes (big, small, and everything in between).

IBM

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

Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia

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