

Teradata and Freshdesk compete in different segments, data warehousing, and customer support solutions, respectively. Teradata seems to have the upper hand in handling complex query executions and data warehousing, whereas Freshdesk excels in providing comprehensive support operations.
Features: Teradata offers powerful massively parallel processing capabilities, optimized for handling structured data, ensuring robust performance and scalability. Freshdesk provides a strong ticketing system, automation capabilities to minimize manual tasks, and omnichannel support, enhancing customer interaction across multiple channels.
Room for Improvement: Teradata's scalability is challenging, especially for on-premises solutions and managing unstructured data. Its high cost and limited cloud presence are significant drawbacks. Freshdesk's limitations include restricted customization and reporting functionalities, with premium features often locked behind higher-tier plans, and its performance can suffer with high ticket volumes, notably due to API constraints.
Ease of Deployment and Customer Service: Teradata supports on-premises, private, and public cloud options, suited for enterprises but demands technical expertise for deployment. Its customer service is generally positive but varies in response time. Freshdesk, as a SaaS solution, highlights easy public cloud deployment, rapid implementation, and well-received customer support.
Pricing and ROI: Teradata is cost-intensive but valuable for extensive data warehousing projects, where scalability and performance can justify the investment, often showing efficiency-driven ROI. Freshdesk follows a per-agent pricing model, offering a competitive edge for mid-sized enterprises, with its cost deemed reasonable given the feature set, albeit some functionalities require higher-tier plans, influencing budget considerations.
People who initially find ServiceNow to be on the higher side, but when you do the value gain comparison in the next few years, you see that it does give you the returns, with the AI capabilities and everything it brings.
Automation of assigning tickets helps in reducing overall operational costs for the company, which frees up agents to do other complex and much-needed tasks.
I have seen a return on investment with Freshdesk, as there were definitely savings because we do not need to spend the lifetime of our customer success managers; we can just use this tool.
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%.
We have not needed to contact technical support, as Freshdesk has met our needs efficiently.
From my experience, once it is set up, we have never had problems.
The first-time response should be within 30 seconds.
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.
Additional features like email, WhatsApp, and SMS ticketing, along with Slack integration, can be enabled as required.
For small to medium-sized businesses, you can look at Freshdesk, but for larger enterprise levels, you look at ServiceNow.
They can easily send an email to support, and a ticket gets generated for the IT person.
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.
The goal is always to respond to customer tickets in a timely fashion, ensuring that customers feel seen and heard while also providing solutions.
After installation and continuous operation, I have encountered no problems.
Freshdesk has been quite stable in the market.
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.
Currently, some features like SMS or WhatsApp integration are only available to larger user groups, but even smaller teams should have access based on their specific needs.
The current integration is more complicated and doesn’t work as well.
More automation would be beneficial, as it could greatly improve our efficiency and reduce manual tasks.
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.
Our organization pays about 200,000 Indian rupees per year for the license.
The pricing experience is relatively competitive, so it is cost-effective.
The setup cost and licensing are very good.
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.
These features drastically impact my day-to-day work and my team's efficiency by reducing the resolution time significantly, as issues that once took days to resolve are now handled in hours and even minutes.
Freshdesk has positively impacted my organization as it has saved a considerable amount of time and has enabled us to focus better on customers, which resulted in lesser churn.
Now, with Freshdesk, tickets can be easily assigned to any engineer, who will provide the cause, explain why it happened, and give us the answer on how they resolved the issue.
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 (%) |
|---|---|
| Freshdesk | 2.2% |
| Teradata | 2.0% |
| Other | 95.8% |


| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 6 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Freshdesk enhances support operations with features like a centralized ticketing system, omnichannel communication, and seamless tool integration. It addresses customer queries and automates processes, driving efficiency and satisfaction.
Freshdesk offers robust capabilities for managing customer support, enhancing efficiency through automation and integration. Its streamlined ticketing system centralizes queries from multiple platforms, including email, chat, and social media. Features like a knowledge base help reduce repetitive inquiries, while its easy integration with tools such as Slack and Jira supports effective team collaboration. However, users seek improvements in customization flexibility, scalability, and pricing for advanced features. Performance issues may arise with high volumes, and there's room for improved API limits and cloud availability. Freshdesk's automation and communication abilities make it crucial for both internal IT and external customer service, ensuring seamless resolutions and SLA compliance.
What Features Stand Out in Freshdesk?Freshdesk is widely adopted in industries like IT and customer service, where efficient issue resolution and communication are critical. By converting emails to tickets and automating assignments, companies enhance their response times and maintain SLA compliance. Its integration capabilities support diverse tools, facilitating a multi-channel approach for superior customer experiences.
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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