Microsoft Analytics Platform System vs Teradata comparison


Comparison Buyer's Guide

Executive Summary

Categories and Ranking

Microsoft Analytics Platfor...
Ranking in Data Warehouse
Average Rating
Number of Reviews
Ranking in other categories
No ranking in other categories
Ranking in Data Warehouse
Average Rating
Number of Reviews
Ranking in other categories
Relational Databases Tools (7th)

Mindshare comparison

As of July 2024, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 0.3%, down from 0.7% compared to the previous year. The mindshare of Teradata is 15.2%, up from 14.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
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Relational Databases Tools

Featured Reviews

MahmoudMohamed1 - PeerSpot reviewer
Dec 27, 2023
Offers smooth data integration between systems, but requires better real-time analytics capabilities
We mainly use it for high-level decision-making insights in the education industry. We also use it for operational reports and data integration between systems We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using…
SurjitChoudhury - PeerSpot reviewer
Feb 20, 2024
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:


"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"Helps our customers to discover trends, which provides useful information based on their business."
"It is closely integrated with other products in the MS portfolio."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"This is a well-integrated solution and that integration empowers results."
"I like that it's integrated with other Azure products."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
"Teradata's best feature is its speed with historical data."
"It's very mature from a technology perspective."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"The performance is great, we are able to query our data in one operation."
"The most valuable feature of Teradata is the quick processing of large data."
"Teradata's most valuable feature is that it's easy to use."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."


"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"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."
"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."
"Microsoft Analytics Platform System could have better support."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"The solution needs improvement in its stability, support and pricing."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"The following could be better: licensing, architecture openness, integration with other tools."
"​I think the UI is not there yet. It could be improved by being more user-friendly.​"
"Teradata is an old data warehouse, and they're not improving in terms of new, innovative features."
"Teradata's UI could be improved."
"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."
"The user interface needs to be improved."

Pricing and Cost Advice

"The initial price is lower than Oracle, but extensive use of SQL may lead to a higher total cost of ownership."
"Users have to pay extra for premium-level technical support."
"I rate Microsoft Analytics Platform System a seven out of ten for pricing."
"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 cost of running Teradata is quite high, but you get a good return on investment."
"The price of Teradata could be less expensive."
"It's a very expensive product."
"Teradata is expensive but gives value for money, especially if you don't want to move your data to the cloud."
"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."
"The cost is significantly high."
"Teradata is a very expensive solution."
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Comparison Review

it_user232068 - PeerSpot reviewer
Aug 5, 2015
Netezza vs. Teradata
Original published at 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…

Top Industries

By visitors reading reviews
Financial Services Firm
Energy/Utilities Company
Computer Software Company
Financial Services Firm
Computer Software Company
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,...

Also Known As

Microsoft APS, MS Analytics Platform System
No data available



Sample Customers

Transport for London, E-Plus Mobilfunk GmbH & Co. KG, Prometeia, Tangerine, SSM Health Care, Service Corporation International
Find out what your peers are saying about Microsoft Analytics Platform System vs. Teradata and other solutions. Updated: July 2024.
792,694 professionals have used our research since 2012.