Microsoft Analytics Platform System vs Teradata comparison

Microsoft Analytics Platfor...

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Microsoft Analytics Platform System compete in the analytics product category. Microsoft has the advantage due to its comprehensive integration capabilities and broader data ecosystem, making it an excellent choice for enterprises seeking a cohesive suite of tools.

Features: Teradata is known for high-performance processing, scalability, and system tuning capabilities. Microsoft Analytics Platform System offers end-to-end analytics solutions, integrated cloud services, and intuitive data management tools.

Room for Improvement: Teradata could improve by enhancing cloud adaptability and offering more flexible deployment options. Microsoft Analytics Platform System may benefit from simplifying complex features and enhancing documentation for better user understanding.

Ease of Deployment and Customer Service: Teradata provides a traditional on-premise deployment model with extensive scalability and dedicated support. Microsoft Analytics Platform System features a flexible deployment model for hybrid-cloud environments and utilizes Microsoft's established customer support channels, making it more adaptable to diverse needs.

Pricing and ROI: Teradata generally involves higher initial setup costs due to its specialized hardware focus but offers significant ROI for long-term analytics needs. On the other hand, Microsoft Analytics Platform System presents competitive pricing aimed at reducing setup costs through its cloud-based options, making it a cost-effective choice with enhanced ROI potential through integrated services and lower operational expenses.

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

Microsoft Analytics Platform System 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 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 (4th), 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 February 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 16.1%, up from 15.1% 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

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

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

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

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

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

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

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

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

"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."

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

"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."

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

"Cuts time to process huge amounts of data with efficient analytical queries."

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

"It is a stable program."

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

More Teradata pros

Cons

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

"The pricing model needs to be improved."

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

"Hybrid environments are complex to manage."

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

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

"Microsoft Analytics Platform System could have better support."

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

More Microsoft Analytics Platform System cons

"I think the UI is not there yet. It could be improved by being more user-friendly."

"The solution’s pricing, scalability, and technical support response time could be improved."

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

"The setup is not straightforward."

"GUI of administrative tools is really outdated."

"I would like more security and speed."

"The increasing volumes of data demand more and more performance."

"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

"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."

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

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

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

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

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

"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."

"It is still a very expensive solution. While I very much like the pure technological supremacy of the software itself, I believe Teradata as a company needs to become more affordable. They are already losing the market to more flexible or cheaper competitors."

"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."

"Teradata is currently making improvements in this area."

"It comes at a notably high cost for what it offers."

"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."

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

10%

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 100% of the time

More Microsoft Analytics Platform System Competitors

Oracle Exadata vs Teradata

Compared 14% of the time

SQL Server vs Teradata

Compared 11% of the time

MySQL vs Teradata

Compared 8% 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

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Microsoft Analytics Platform System report

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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

Netflix

Microsoft Analytics Platform System vs. Teradata