Microsoft Analytics Platform System vs Teradata comparison

Microsoft Analytics Platfor...

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Executive SummaryUpdated on Apr 20, 2025

Teradata and Microsoft Analytics Platform System compete in the data analytics solutions sector. Microsoft Analytics Platform System appears to have an advantage due to its ease of integration and user-friendly setup.

Features: Teradata excels in advanced analytics, vast data warehousing, and real-time capabilities. Microsoft Analytics Platform System features seamless integration with Azure, SQL Server support, and effective hybrid cloud analytics.

Room for Improvement: Teradata could enhance its user interface and reduce complexity in deployment. Better integration with third-party services would be beneficial. Reducing dependency on specialized personnel could improve adoption. Microsoft Analytics Platform System could improve in-depth customization options. Enhancing performance for on-premises solutions and offering more distinct support for non-Microsoft environments could broaden its appeal.

Ease of Deployment and Customer Service: Teradata offers a detailed deployment model needing expert involvement, focusing on customization and on-premises solutions. Microsoft Analytics Platform System provides a more streamlined deployment with significant cloud integration, reducing complexity and support requirements, particularly benefiting those with existing Microsoft infrastructure.

Pricing and ROI: Teradata's initial setup costs are high due to its tailored enterprise solutions, potentially prolonging ROI. Microsoft Analytics Platform System offers competitive pricing, especially for cloud deployments, enhancing ROI with cost-effective scaling options.

To learn more, read our detailed Microsoft Analytics Platform System vs. Teradata Report (Updated: April 2025).

Microsoft Analytics Platform System 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

Microsoft Analytics Platfor...

Ranking in Data Warehouse

17th

Average Rating

6.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Warehouse

3rd

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Customer Experience Management (6th), Backup and Recovery (20th), Data Integration (17th), Relational Databases Tools (7th), BI (Business Intelligence) Tools (10th), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 0.8%, up from 0.6% compared to the previous year. The mindshare of Teradata is 16.3%, up from 15.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Warehouse

Featured Reviews

MahmoudMohamed1

Senior Data Engineer at Tatweer Educational Technologies Company - TETCO

Offers smooth data integration between systems, but requires better real-time analytics capabilities

We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services. This lets us continue using private databases without paying additional licensing fees. Additionally, the license includes Analytics services and Power BI, which work on-premises, unlike most other technologies that require cloud solutions.

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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 will connect to any database, you can combine databases, and you can create a cube or tabular model."

"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."

"Helps our customers to discover trends, which provides useful information based on their business."

"I like that it's integrated with other Azure products."

"It is closely integrated with other products in the MS portfolio."

"This is a well-integrated solution and that integration empowers results."

"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."

"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."

"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."

"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."

"The initial setup was straightforward."

"The most valuable features are the Shared-nothing architecture and data protection functionality."

"The most valuable feature is the ease of uploading data from multiple sources."

"I like this solution's ease of design and the fact that its performance is quite good. It is stable as well."

"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."

"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."

More Teradata pros

Cons

"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."

"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."

"We need better real-time analytics capabilities. It's a bit challenging for us."

"Functionality needs to be more up-to-date with competing products."

"Microsoft Analytics Platform System could have better support."

"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."

"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."

"The pricing model needs to be improved."

More Microsoft Analytics Platform System cons

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

"When backups are performed, it locks the database, preventing user access, which is a concern."

"If I want to implement an upgrade, I'd like to see how it will be different. Ideally, Data Lab should help me test production items and also do future things. Future releases should be downloadable and testable in Data Lab."

"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."

"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."

"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."

"Limited interest and success in some areas make us hesitate about upgrading."

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

More Teradata cons

Pricing and Cost Advice

"Users have to pay extra for premium-level technical support."

"I rate Microsoft Analytics Platform System a seven out of ten for pricing."

"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."

"We are currently paying $200,000 a year for all the different parts of the suite during an ingest model Microsoft now charges us $700,000 a year."

"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."

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

"Teradata used to be expensive, but they have been lowering their prices."

"We are looking for a more flexible cost model for the next version that we use, whether it be cloud or on-premise."

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

"Teradata is expensive, so it's typically marketed to big customers. However, there have been some changes, and Teradata is now offering more flexible pricing models and equipment leasing. They've added pay-as-you-go and cloud models, so it's changing, but Teradata is generally known as an expensive high-end product."

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

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

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

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 Microsoft Analytics Platform System?

We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services.

What is your experience regarding pricing and costs for Microsoft Analytics Platform System?

It's not too confusing. It's based on features, and we don't have to buy additional licenses.

What needs improvement with Microsoft Analytics Platform System?

We need better real-time analytics capabilities. It's a bit challenging for us. Moreover, there are some permission limitations.

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,...

Microsoft Azure Synapse Analytics vs Microsoft Analytics Platform System

Comparisons

Compared 44% of the time

More Microsoft Analytics Platform System Competitors

Oracle Exadata vs Teradata

Compared 13% of the time

SQL Server vs Teradata

Compared 10% 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 6% of the time

More Teradata Competitors

Product Reports

Microsoft Analytics Platform System

April 2025

Microsoft Analytics Platform System report

Download Microsoft Analytics Platform System product report

Download Teradata product report

March 2025

Also Known As

Microsoft APS, MS Analytics Platform System

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

Overview

The Microsoft Analytics Platform System can meet the demands of your evolving data warehouse environment with its scale-out, massively parallel processing integrated system supporting hybrid data warehouse scenarios. It provides the ability to query across relational and non-relational data by leveraging Microsoft PolyBase and industry-leading big data technologies. It offers the lowest price per terabyte for large data warehouse workloads.

Microsoft

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

Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International

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