Microsoft Analytics Platform System vs Teradata comparison

Microsoft Analytics Platfor...

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Executive SummaryUpdated on Oct 6, 2024

Teradata and Microsoft Analytics Platform System compete in the advanced analytics market. Microsoft appears to have the upper hand due to a more comprehensive feature set and user satisfaction.

Features: Teradata offers excellent scalability, robust data management capabilities, and reliable performance analytics, making it a solid choice for managing large datasets. Microsoft Analytics Platform System provides superior integration features, enhanced data processing speed, and a seamless experience in diverse environments, highlighting a stronger feature set.

Room for Improvement: Teradata needs more intuitive integration, enhanced analytics capabilities, and simplified deployment processes. Microsoft Analytics Platform System could improve processing efficiency, system optimization, and address occasional feedback points, although it receives fewer critical remarks overall.

Ease of Deployment and Customer Service: Teradata's deployment process can be complex, often needing substantial technical expertise. Microsoft Analytics Platform System has a relatively straightforward implementation. In terms of customer service, Microsoft is considered more responsive and helpful, whereas Teradata reports occasional delays in support.

Pricing and ROI: Teradata requires substantial initial investment, with long-term ROI being satisfactory for some due to its capabilities. Microsoft Analytics Platform System, despite being considered expensive, is perceived to offer better value thanks to its feature-rich solution and potential long-term benefits.

To learn more, read our detailed Microsoft Analytics Platform System vs. Teradata Report (Updated: October 2024).

Microsoft Analytics Platform System vs. Teradata

October 2024

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Helped 813,418 peers since 2012

Categories and Ranking

Microsoft Analytics Platfor...

Ranking in Data Warehouse

17th

Average Rating

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in Data Warehouse

3rd

Average Rating

8.2

Number of Reviews

Ranking in other categories

Customer Experience Management (3rd), 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 October 2024, in the Data Warehouse category, the mindshare of Microsoft Analytics Platform System is 0.6%, down from 0.6% compared to the previous year. The mindshare of Teradata is 16.8%, up from 15.0% 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

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…

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SurjitChoudhury

Data engineer at Cocos pt

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.

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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

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

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

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

"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."

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

"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."

"Viewpoint, the detailed query logs and performance statistics are valuable features."

"The initial setup was straightforward."

"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."

"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."

"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."

"IntelliFlex is easy to scale - one of its best features is that you can upscale it to the size you want."

"The solution's banking model, called FSLDM (Financial Services Logical Data Model), is sophisticated and good."

"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."

More Teradata pros

Cons

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

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

"Microsoft Analytics Platform System could have better support."

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

"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."

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

"The pricing model needs to be improved."

More Microsoft Analytics Platform System cons

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

"The SQL Assistant is very basic. This tool can be improved for usability."

"Stability-wise, we have had some issues with automation and the ability to handle large datasets."

"The initial setup was complex as we had to rewrite a lot of the code."

"Teradata is a bit late for the cloud."

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

"The solution needs improvement in its stability, support and pricing."

"The cost of Teradata Cloud Data Warehouse has room for improvement."

More Teradata cons

Pricing and Cost Advice

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

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

"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."

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

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

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

"Users have to pay a yearly licensing fee for Teradata IntelliFlex, which is very expensive."

"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."

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

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

"The solution requires a license."

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

25%

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 56% of the time

More Microsoft Analytics Platform System Competitors

SQL Server vs Teradata

Compared 14% of the time

Oracle Exadata vs Teradata

Compared 13% of the time

Snowflake vs Teradata

Compared 9% of the time

MySQL vs Teradata

Compared 8% of the time

Vertica vs Teradata

Compared 5% of the time

More Teradata Competitors

Product Reports

Microsoft Analytics Platform System

October 2024

Microsoft Analytics Platform System report

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September 2024

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

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Microsoft

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.

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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