NetSuite Business Intelligence vs Teradata comparison

NetSuite and Teradata are both solutions in the BI (Business Intelligence) Tools category. NetSuite is ranked #37, while Teradata is ranked #9 with an average rating of 7.7. NetSuite holds a 0.8% mindshare in BIT, compared to Teradata’s 1.0% mindshare. Additionally, 100% of NetSuite users are willing to recommend the solution, compared to 88% of Teradata users who would recommend it.

NetSuite Business Intelligence

Read 1 NetSuite Business Intelligence review

783 Views
783 Comparison Views

100% willing to recommend

Teradata

Read 83 Teradata reviews

11,786 Views
1,414 Comparison Views

88% willing to recommend

NetSuite Business Intelligence

Teradata

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Executive SummaryUpdated on Jan 4, 2026

Teradata and NetSuite Business Intelligence compete in business intelligence solutions. Despite Teradata's strengths, NetSuite Business Intelligence seems advantageous due to its integrated features, offering easier implementation and faster ROI.

Features: Teradata provides strong data analytics, scalability, and a proven track record in data warehousing. NetSuite Business Intelligence integrates smoothly with ERP systems, offers comprehensive dashboards, and provides a robust all-in-one solution.

Ease of Deployment and Customer Service: Teradata's deployment can be complex due to high scalability, requiring technical expertise. NetSuite Business Intelligence benefits from a cloud-based architecture, allowing easier implementation and robust customer support, making it favorable for faster deployment.

Pricing and ROI: Teradata might involve higher initial costs suited for large enterprises with significant data needs, leading to substantial long-term ROI. NetSuite Business Intelligence may appear costly but provides rapid value realization through its integrated ERP system, favoring faster returns for businesses prioritizing comprehensive toolsets.

To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: March 2026).

Buyer's Guide

BI (Business Intelligence) Tools

March 2026

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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

NetSuite Business Intelligence

Ranking in BI (Business Intelligence) Tools

37th

Average Rating

10.0

Reviews Sentiment

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in BI (Business Intelligence) Tools

9th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (16th), Data Integration (14th), Relational Databases Tools (5th), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (3rd), Database Management Systems (DBMS) (5th)

Mindshare comparison

As of March 2026, in the BI (Business Intelligence) Tools category, the mindshare of NetSuite Business Intelligence is 0.8%, up from 0.4% compared to the previous year. The mindshare of Teradata is 1.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Teradata	1.0%
NetSuite Business Intelligence	0.8%
Other	98.2%

BI (Business Intelligence) Tools

Featured Reviews

Antonio Lira

Territory Manager LATAM at LeaseWeb

Scripting is a great feature as is the ability to export almost anything

Scripting is a good feature if you have programming and scripting skills. It can be used without those skills but I think it's difficult to integrate them in PRISM. The best thing is that you can export almost anything whether it's graphics or data and you can change dates on the fly.

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David Durand Velásquez

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.

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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

"You can export almost anything whether it's graphics or data."

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

"I like writing preformance queries for preprocessing on AWS Cloud."

"The integration and configuration of Teradata in our AWS environment was great."

"The ability to handle machine data parallel processing is the most valuable feature of Teradata."

"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"

"The two types of partitioning have been very significant for us - row and columnar partitioning."

"A conventional and easily defined way to build a data warehouse or a layer of data marts."

"Teradata offers great features; it is fast, faster compared to the previous applications that I used, and the scalability is good."

More Teradata pros

Cons

"Graphics are limited and could be improved."

"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."

"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."

"Needs compatibility with more Big Data platforms."

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

"Data synchronization to the DR site."

"The user interface needs to be improved."

"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."

More Teradata cons

Pricing and Cost Advice

Information not available

"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."

"Teradata's licensing is on the expensive side."

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

"I am using the free version of Teradata."

"I would advise others to look into migration and setup as a fixed price and incorporate a SaaS option for other Teradata services."

"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."

"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."

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

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

No data available

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	52

Questions from the Community

Ask a question

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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...

See all answers

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...

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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,...

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Comparisons

Tableau Enterprise vs NetSuite Business Intelligence

Compared 21% of the time

Microsoft Power BI vs NetSuite Business Intelligence

Compared 19% of the time

Oracle OBIEE vs NetSuite Business Intelligence

Compared 19% of the time

Metric Insights vs NetSuite Business Intelligence

Compared 17% of the time

More NetSuite Business Intelligence Competitors

Snowflake vs Teradata

Compared 6% of the time

Oracle Database vs Teradata

Compared 5% of the time

SQL Server vs Teradata

Compared 4% of the time

Oracle Exadata vs Teradata

Compared 4% of the time

IBM Db2 Database vs Teradata

Compared 3% of the time

More Teradata Competitors

Product Reports

Buyer's Guide

BI (Business Intelligence) Tools

March 2026

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Buyer's Guide

Teradata

February 2026

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Also Known As

No data available

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

Overview

NetSuite Business Intelligence provides the power of built-in, real-time dashboards, reporting and analysis across all the integrated processes within the software suite.

NetSuite

Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.

Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.

What are the key features of Teradata?

Parallel Processing Architecture: Enables efficient handling of substantial data volumes.
Cloud and On-Premise Deployment: Offers seamless adaptability across environments.
Query Tuning: Improves speed and performance of data retrieval processes.
Workload Management: Ensures optimal resource allocation for enhanced performance.
Robust Security: Provides high levels of data protection and system integrity.
Data Integration: Facilitates cohesive data management from multiple sources.
Automation for Real-time Reporting: Enhances timely data insights and decision-making.
Optimizer and Intelligent Partitioning: Further increase query speed and system efficiency.
Multi-Temperature Data Management: Optimizes the handling and retrieval of data.

What benefits and ROI do users look for?

Efficient Data Management: Facilitates smooth integration and processing of diverse data sets.
Scalability: Easy adjustment to increasing or decreasing data requirements.
Improved Performance: Fast query speeds and optimized resource use.
Comprehensive Security: Safeguards data integrity and accessibility.
Ease of Use: Simplifies data handling and operational processes.

In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.

Teradata

Sample Customers

THE SECOND CITY, QUICKEN INC, LAND O’LAKES, LOVESAC, HELLO PRODUCTS

Netflix

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