

Teradata and Posit are products that compete in the data management and analytics category. Teradata appears to have the upper hand in handling large data volumes efficiently, while Posit excels with ease in data science deployments due to its seamless integration of R and Python.
Features: Teradata is renowned for high-performance parallel processing, robust security, and effective workload management. It is capable of handling complex queries and large data volumes efficiently. Posit stands out for its integrated environment supporting both R and Python, allowing for smooth deployment of data science outputs and easy collaboration through Posit Connect.
Room for Improvement: Teradata could bolster its cloud functionalities, improve scalability for unstructured data, and reduce costs amidst robust competition. Posit would benefit from improved resource management, enhanced monitoring capabilities, and incorporating comprehensive AI functionalities and better licensing management.
Ease of Deployment and Customer Service: Teradata deployment is versatile across on-premises, public, and hybrid clouds, with a high level of professionalism noted in customer service, albeit with room for faster response times. Posit similarly offers a flexible deployment environment and possesses responsive, knowledgeable support with effective documentation for users.
Pricing and ROI: Teradata's pricing is premium, making it more suitable for large enterprises, yet flexible models are emerging to cater to smaller organizations. Its ROI is notable in managing substantial data loads efficiently. Posit provides a reasonable and straightforward pricing model and offers value through enhanced productivity and efficient collaboration in data science contexts.
Posit simplifies the deployment of analytics outputs and reduces time spent on environment setup and troubleshooting, allowing teams to focus more on analysis and delivering insights.
Since adopting Posit, by using the tool, we have saved about 57% on the amount of time needed to compile a systematic review.
I have seen a return on investment because Posit is the standard in the field for coding in R and deploying applications like Shiny apps, so a lot of time is saved with a very quality product.
At least fifteen to twenty percent of our time has been saved using Teradata, which has positively affected team productivity and business outcomes.
Independent research showed that Teradata VantageCloud users achieved an average ROI of 427% across three years with payback under a year, demonstrating the platform's ability to deliver a strong financial return.
We have realized a return on investment, with a reduction of staff from 27 to eight, and our current return on investment is approximately 14%.
Whenever we encounter any issues or require assistance with configuration, we email support@posit.co and receive an immediate response.
You have a dedicated sales rep associated with your account.
I would rate the technical support team a six or seven because they operate on U.S. time, which can delay response times to 24 to 48 hours.
The customer support for Teradata has been great.
They are responsive and knowledgeable, and the documentation is very helpful.
Customer support is very good, rated eight out of ten under our essential agreement.
Posit's scalability is commendable, as we are running in EKS, so we can easily scale anywhere from 20 to 200 users with both the IDEs and app deployment.
While Posit Connect can scale vertically, horizontal scaling may be a prospective feature to consider.
Whenever we need more resources, we can add that in Teradata, and when not needed, we can scale it down as well.
This flexibility allows organizations to scale according to their needs, balancing performance, cost, and compliance requirements.
This expansion can occur without incurring downtime or taking systems offline.
Its massively parallel process architecture allows the platform to distribute workload efficiently, enabling organizations to run heavy analytic queries without compromising speed or stability.
I find the stability to be almost a ten out of ten.
The workload management and software maturity provide a reliable system.
The time savings is an incredible feature and the horizontal deployability is great.
Posit lacks a smooth solution for the build and release pipeline, requiring duplicate effort for production transitions.
I hope for it to provide specific issue resolutions and suggestions, not just basic searches.
I want to highlight two features for improvement: first, storing data in various formats without requiring a tabular structure, accommodating unstructured data; and second, adding AI ML features to better integrate Gen AI, LLM concepts, and user-friendly experiences such as text-to-SQL capabilities.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
The most challenging aspect is finding Teradata resources, so we are focusing on internal training and looking for more Teradata experts.
The pricing was very transparent and they have three different product lines, or at least they did when we purchased it.
RStudio Pro and Workbench are quite costly.
The licensing is straightforward for our enterprise environment and aligns well with our teams.
Teradata is much more expensive than SQL, which is well-performed and cheaper.
Initially, it may seem expensive compared to similar cloud databases, however, it offers significant value in performance, stability, and overall output once in use.
Role-based access control (RBAC), strong audit and compliance features, high availability, fault tolerance, and encrypted data at rest and in-transit are key features.
Posit has significantly increased the productivity of our team by allowing us to incorporate AI tools and other computational tools to reduce the stress and workload of scientists so that they can continue to do science without having to worry about organization and structure.
The RStudio integration is great because I can tap Posit workbench server compute, which is significantly higher than our laptops, to scale our processes up if we are working with a particularly large dataset.
Posit Workbench serves as a shared IDE for users and stands out as one of the best features Posit offers.
Teradata's security helps our organization meet compliance requirements such as GDPR and IFRS, and it is particularly essential for revenue contracting or revenue recognition.
Its architecture allows information to be processed efficiently while maintaining stable performance, even in highly demanding environments.
It facilitates data integration, where we integrate and analyze data from various sources, making it a powerful and high-quality reliable solution for the company.
| Product | Mindshare (%) |
|---|---|
| Teradata | 1.2% |
| Posit | 0.7% |
| Other | 98.1% |

| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 1 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 53 |
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?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.
Teradata is a powerful tool for handling substantial data volumes with its parallel processing architecture, supporting both cloud and on-premise environments efficiently. It offers impressive capabilities for fast query processing, data integration, and real-time reporting, making it suitable for diverse industrial applications.
Known for its robust parallel processing capabilities, Teradata effectively manages large datasets and provides adaptable deployment across cloud and on-premise setups. It enhances performance and scalability with features like advanced query tuning, workload management, and strong security. Users appreciate its ease of use and automation features which support real-time data reporting. The optimizer and intelligent partitioning help improve query speed and efficiency, while multi-temperature data management optimizes data handling.
What are the key features of Teradata?
What benefits and ROI do users look for?
In the finance, retail, and government sectors, Teradata is employed for data warehousing, business intelligence, and analytical processing. It handles vast datasets for activities like customer behavior modeling and enterprise data integration. Supporting efficient reporting and analytics, Teradata enhances data storage and processing, whether deployed on-premise or on cloud platforms.
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