Posit vs Teradata comparison

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Posit

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Executive SummaryUpdated on Jan 12, 2025

Teradata and Posit compete in data analytics and management solutions. Teradata generally leads in scalability and enterprise-level functionalities, whereas Posit is preferable for data scientists due to its flexibility.

Features: Teradata offers robust data warehousing, advanced analytics, and high scalability for large datasets. Posit emphasizes dynamic integration with R programming, user-friendly data analysis, and support for flexible data exploration.

Ease of Deployment and Customer Service: Teradata's deployment model caters to large organizations, backed by comprehensive customer service. Posit provides a simpler deployment suited for small to medium-sized teams and responsive customer service, often preferred for ease and speed.

Pricing and ROI: Teradata requires a higher setup cost but provides significant ROI for large enterprises with complex data needs. Posit is more affordable, offering favorable ROI for smaller teams focusing on data analysis, making it cost-effective for flexible tasks.

To learn more, read our detailed Posit vs. Teradata Report (Updated: April 2025).

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Posit vs. Teradata

April 2025

Helped 847,625 peers since 2012

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

Posit

Ranking in BI (Business Intelligence) Tools

28th

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Teradata

Ranking in BI (Business Intelligence) Tools

10th

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), Data Warehouse (3rd), Marketing Management (6th), Cloud Data Warehouse (6th)

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of Posit is 0.3%, up from 0.0% compared to the previous year. The mindshare of Teradata is 0.8%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

SUBRATADEY

Principal Data Enigeneer at Oracle

Addressing installation challenges to utilize interactive dashboards effectively

Posit is valuable because many geo-scientists I work with are more comfortable writing R scripts and using R Shiny, making it a suited choice for them. On top of that, it integrates with the application and database, creating interactive dashboards. While there's a need to manage a significant portion manually, the performance overall is stable.

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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

"I have found Posit’s integration with R, such as the autocomplete feature and the help panel, to be invaluable."

"Overall, I think Posit is a stable product."

"The most valuable feature of Posit is that it allows users to host different models in one place, making it easy to share with colleagues and teammates."

"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."

"It is a stable program."

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

"Teradata is a great, industry-leading data warehousing product that has MPP architecture."

"The functionality of the solution is excellent."

"The product's scalability is great. Scalability-wise, I rate the solution a ten out of ten."

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

"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."

More Teradata pros

Cons

"Posit lacks a smooth solution for the build and release pipeline, requiring duplicate effort for production transitions."

"I would like to see improvements in SSH capabilities."

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

"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."

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

"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."

"I'm not sure about the unstructured data management capabilities. It could be improved."

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

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

"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."

More Teradata cons

Pricing and Cost Advice

Information not available

"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."

"I rate the product price a nine on a scale of one to ten, where one is cheap and ten is expensive."

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

"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."

"In the past, it turned out that other solutions, in order to provide the full range of abilities that the Teradata platform provides plus the migration costs, would end up costing more than Teradata does."

"Teradata pricing is fine, and it's competitive with all the legacy models. On a scale of one to five, with one being the worst and five being the best, I'm giving Teradata a three, because it can be a little expensive, when compared to other solutions."

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

"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."

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

No data available

Questions from the Community

What is your primary use case for Posit?

I use Posit for both Posit Connect and Posit Workbench. The Workbench is used for development, as there are many packages not supported by RStudio because I didn't have RStudio Pro. Posit Connect i...

What is your experience regarding pricing and costs for Posit?

RStudio Pro and Workbench are quite expensive. Workbench is especially costly because it supports multiple sessions, so there's a strategy to use it only during full-phase development, then switch ...

What needs improvement with Posit?

Posit lacks a smooth solution for the build and release pipeline. Its documentation is weak, which can make installation cumbersome for someone without terminal experience. Additionally, there are ...

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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Product Reports

BI (Business Intelligence) Tools

March 2025

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Download Teradata product report

March 2025

Also Known As

No data available

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

Overview

Posit offers data analysis and visualization tools designed to enhance decision-making through actionable insights. It supports diverse programming environments and integrates seamlessly, facilitating efficient data processes for teams in analytics-driven sectors.

Posit elevates analytical operations by providing powerful tools for data management and visualization. Its adaptive nature enables integration with several programming languages, catering to the needs of data professionals seeking adaptable and efficient solutions. Its architecture is robust, fostering seamless collaboration across analytical platforms. While it enhances data workflows, user reviews often hint at the need for advanced analytic capabilities to enhance unique data interrogation methods, which remains an area for enhancement.

What are the valuable features of Posit?

Data Integration: Provides seamless connection with programming environments, optimizing processes.
Visualization Tools: Offers a variety of graphical representations for data clarity.
Collaboration Support: Enables effective teamwork through accessible shared features.
Scalability: Adapts to the growing needs of data environments without losing performance.

What benefits or ROI should users look for in reviews?

Improved Efficiency: Streamlines data processes, saving time and enhancing productivity.
Cost-effectiveness: Offers powerful capabilities with a focus on reducing operational expenses.
Enhanced Decision-Making: Provides insights that lead to better business outcomes.
User Adoption: High acceptance rates due to intuitive design elements that simplify operations.

In industries like finance and healthcare, Posit finds applications in creating dashboards that track and analyze performance data, aiding in strategic planning. Educational institutions use Posit to introduce data science concepts, offering students hands-on experience with data analytics tools.

Posit PBC

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

Information Not Available

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