Teradata and Salesforce Einstein Analytics compete in data analytics and business intelligence. Teradata holds an edge with its scalable architecture and advanced data handling, while Salesforce offers a user-friendly interface and rapid deployment.
Features: Teradata offers powerful parallel processing, excellent workload management, and strong data integration and security features. Its architecture supports massive data volumes and efficient analytics. Salesforce Einstein Analytics shines in user-friendly data visualization and interactive dashboards, integrated seamlessly with Salesforce, and provides AI-driven insights.
Room for Improvement: Teradata can enhance transactional processing, improve cloud capabilities, and better handle semi-structured data. Cost and scalability challenges need addressing. Salesforce Einstein could improve large-scale data handling and customization, as well as lower pricing and expand integration with non-Salesforce platforms.
Ease of Deployment and Customer Service: Teradata provides on-premises, public, private, and hybrid cloud deployment options, with highly rated customer service but variable response times. Salesforce Einstein is cloud-focused, excels in public cloud environments, and offers excellent customer service with seamless Salesforce ecosystem integration.
Pricing and ROI: Teradata's high initial costs offer strong ROI with fewer DBA needs and performance gains. Salesforce Einstein uses a subscription model, expensive but justified by robust features and easy deployment. Pricing may be a barrier for smaller firms.
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%.
Tech support for Salesforce Einstein Analytics is generally good.
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.
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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go 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.
There are certain glitches, especially when the modules are upgraded or when there is a source code update, causing the entire tool to go offline.
There is a learning curve associated with Salesforce Einstein Analytics, particularly since users need to learn a new language.
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.
A benefit is that the pricing is available online, ensuring there are no hidden costs.
In general, I would rate it as a little bit on the expensive side compared to other available options.
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.
It allows for a personalized customer experience by providing insights.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
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 | Market Share (%) |
|---|---|
| Teradata | 0.9% |
| Salesforce Einstein Analytics | 1.0% |
| Other | 98.1% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 13 |
| Large Enterprise | 52 |
Salesforce Einstein Analytics is a customer and business analytics platform that’s optimized for mobile use and brings flexible customer analytics to everyone in the company. It works with many types of data, from many data sources, and it can change the way your company answers critical questions. Einstein Analytics allows you to:
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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