Microsoft Azure HorizonDB vs Teradata comparison

Microsoft Azure HorizonDB

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Executive Summary

We performed a comparison between Microsoft Azure HorizonDB and Teradata based on real PeerSpot user reviews.

Find out in this report how the two Relational Databases Tools solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Microsoft Azure HorizonDB vs. Teradata Report (Updated: September 2026).

Microsoft Azure HorizonDB vs. Teradata

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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

Microsoft Azure HorizonDB

Ranking in Relational Databases Tools

30th

Average Rating

8.2

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (20th)

Teradata

Ranking in Relational Databases Tools

5th

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Customer Experience Management (5th), Backup and Recovery (10th), Data Integration (14th), Data Warehouse (2nd), BI (Business Intelligence) Tools (9th), Marketing Management (4th), Cloud Data Warehouse (2nd), Database Management Systems (DBMS) (5th)

Featured Reviews

Alex Park

AVP - Business Analysis - FX Options at a financial services firm with 10,001+ employees

Data platform has transformed analytics and now provides seamless storage and insight on user behavior

Microsoft Azure HorizonDB scales perfectly. It automatically scales whenever there is a load on the application. I have configured the deployment files on my projects, and the database is able to handle automatic scaling by itself, so I do not have to put much attention on that aspect. It scales down automatically as well. I monitored the scaling and scaling out one or two times during the initial stage when I was first including this database in my project. After the first and second times, I checked only the logs for automatic scaling and scaling out. I have not encountered any issue on the scaling side, and it provides consistent performance for both scaling and scaling out.

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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

"I appreciate the features that Microsoft Azure HorizonDB provides, particularly the seamless transformation of the database, data collection, and database access along with the analytics features."

"Microsoft Azure HorizonDB has positively impacted my organization by reducing latency issues, improving performance, and providing a good recovery time."

"Since we are in the proof of concept phase, we have noticed some early improvements and potential benefits that stand out so far in terms of speed, reliability, and ease of management."

"Using Microsoft Azure HorizonDB provides better scalability and performance in terms of database administration."

"We really enjoy the FastLoad, TPump, and MultiLoad features."

"The functionality of the solution is excellent."

"The solution is speedy and doesn't require much of a DBA team, it's kind of baked right into the product."

"It has massive parallel processing ability to do large amounts of concurrent querying."

"We are into DWBI (Data Warehousing and Business Intelligence) and Teradata is number one in the market for these solutions."

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

"Our business processes are much more efficient with Teradata's speed."

"The feature that we find most valuable is its ability to perform Massive Parallel Processing."

More Teradata pros

Cons

"So far, I have not seen any return on investment from Microsoft Azure HorizonDB in terms of cost."

"I want to say that the costing of Microsoft Azure HorizonDB is too high and should be less."

"One area I can identify for improvement is query performance during peak traffic situations."

"Regarding needed improvements, I feel that we need more documentation on Microsoft Azure HorizonDB."

"The following could be better: licensing, architecture openness, integration with other tools."

"Since I was working on the very basic, legacy systems, the memory thing was always a challenge."

"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."

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

"Teradata is a bit late for the cloud."

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

"The reporting side wasn't very good in the past, but with the latest versions, it's getting better. Still, the friendliness of the PDC reporting and functionality needs to be improved."

"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."

More Teradata cons

Pricing and Cost Advice

Information not available

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

"The cost of running Teradata is quite high, but you get a good return on investment."

"Teradata is currently making improvements in this area."

"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 tool costs about 30,000 euros a month, while Azure Synapse SQL only costs 10,000."

"The solution requires a license."

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

"Teradata is a very expensive solution."

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

16%

Outsourcing Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	28
Midsize Enterprise	13
Large Enterprise	53

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Azure HorizonDB?

My experience with pricing, setup cost, and licensing for Microsoft Azure HorizonDB is that the pricing is good.

What needs improvement with Microsoft Azure HorizonDB?

Improvements for Microsoft Azure HorizonDB mean that we still have not gotten actual usage of real issues. We just started the proof of concept phase, so we might discover what the exact real issue...

What is your primary use case for Microsoft Azure HorizonDB?

My main use case for Microsoft Azure HorizonDB is that we were experiencing performance issues in Azure PostgreSQL flexible server, so we wanted to eliminate those issues and started using Microsof...

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,...

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Comparisons

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Product Reports

Microsoft Azure HorizonDB

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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

Microsoft Azure HorizonDB is a cloud-based distributed database solution designed for real-time, scalable data processing, offering seamless integration with Microsoft Azure's ecosystem.

Azure HorizonDB provides a reliable platform for managing high-volume data transactions with resilience and efficiency. Built for scalability, it leverages cloud capabilities to ensure real-time data processing, making it suitable for businesses looking to handle complex data workloads. As part of Azure, it guarantees secure, compliant, and continuous data accessibility.

What are the key features of Microsoft Azure HorizonDB?

Scalability: Effortlessly manage and process large datasets.
Real-time Processing: Enables instant data operations and analytics.
Cloud Integration: Seamless use with Microsoft Azure services.
Security: Robust protection and compliance capabilities.
High Availability: Provides continuous data access without downtimes.

What benefits should users look for in reviews?

Cost Efficiency: Reviewers often note the pricing model supporting resource optimization.
Performance: Users highlight the system's robust data handling capabilities.
Support: High-quality customer service and technical support are frequently mentioned.
Ease of Integration: Users appreciate the simplicity of integrating with existing Azure services.

In the financial sector, Azure HorizonDB is employed for instant transaction processing and fraud detection. Retailers use it to enhance inventory management and personalized marketing. Healthcare providers utilize its data processing capabilities for patient data management and real-time analytics, improving service delivery and decision-making.

Microsoft

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.

Sample Customers

Information Not Available

Netflix

Microsoft Azure HorizonDB vs. Teradata