Teradata and Salesforce Einstein Analytics operate in the data analytics sector, each presenting unique advantages. Teradata seems stronger in data processing and integration, while Salesforce Einstein Analytics stands out with its CRM-focused user interfaces.
Features: Teradata offers parallel processing capabilities, effective query optimization, and strong integration options. Its scalability and adaptability across environments make it a preferred choice for handling large datasets efficiently. Salesforce Einstein Analytics is known for ease of creating interactive dashboards and seamless integration within Salesforce's CRM ecosystem. It offers advanced predictive analysis and visually appealing graphic presentations that benefit CRM efforts.
Room for Improvement: Teradata could enhance its handling of unstructured data and improve cloud services while also addressing pricing complexities. Its compatibility with other platforms and performance in high-transaction environments are also areas needing attention. Salesforce Einstein Analytics users seek better mobile device compatibility, easier report generation without expert help, and more competitive pricing for small businesses.
Ease of Deployment and Customer Service: Teradata supports diverse deployment options, including on-premises and hybrid cloud, which offers flexibility. Its customer service is generally well-regarded, though response times could improve. Salesforce Einstein Analytics focuses on public cloud deployment with easy CRM integration. Its responsive support is appreciated, essential for its business-critical applications.
Pricing and ROI: Teradata is seen as expensive but delivers value for large-scale operations with significant ROI and strong performance. Salesforce Einstein Analytics is also priced on the higher side, particularly challenging for small businesses, but justifies the cost with its CRM integration and productivity advancements. Both platforms promise strong returns if they fit an organization's specific needs.
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.
Customer support is very good, rated eight out of ten under our essential agreement.
The technical support from Teradata is quite advanced.
This expansion can occur without incurring downtime or taking systems offline.
Teradata's scalability is great; it's been awesome.
Scalability is complex as you need to purchase a license and coordinate with Teradata for additional disk space and CPU.
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.
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.
Unlike SQL and Oracle, which have in-built replication capabilities, we don't have similar functionality with Teradata.
If Teradata could provide a list of certified experts, that would be fantastic.
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.
We spent roughly $295,000 on setup costs.
Their machine learning model, which they have integrated, provides us with accurate data and creates projection maps.
It allows for a personalized customer experience by providing insights.
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.
The data mover is valuable over the last two years as it allows us to achieve data replication to our disaster recovery systems.
| Product | Market Share (%) |
|---|---|
| Teradata | 0.7% |
| Salesforce Einstein Analytics | 1.0% |
| Other | 98.3% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 4 |
| Large Enterprise | 12 |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 12 |
| Large Enterprise | 49 |
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?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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