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Published October 21, 2022
By Sharon Rithika
6 mins read
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To remain competitive, businesses today seek out the best Business Intelligence Software. Are you trying to make a choice between Snowflake vs Salesforce? In this article, we assist you in selecting the optimal solution by comparing Salesforce Analytics Cloud and Snowflake in 7 critical points. You can choose which software suits you the best after reading and analyzing the differences between the two.
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Key Differences in Snowflake vs Salesforce
Below we have mentioned 7 key points of difference in Snowflake vs Salesforce which can help you make the right choice according to your needs.
General Information
Snowflake | Salesforce |
-Snowflake is a data warehouse designed for the healthcare, gaming, media and advertising, financial services, software, supply chain and logistics industries. | -Salesforce is a cloud-based software company that helps businesses find more prospects, close more deals, and provide better customer service. |
Features of Snowflake
- Cloud provider agnostic (i.e., it is compatible with any cloud infrastructure and can be moved to and from different cloud environments)
- Scalability
- Concurrency and workload separation
- Near-zero Administration
- Semi-structured data
Features of Salesforce
- Custom dashboards
- AI-powered predictions
- Interactive data visualization
- Custom analytics apps
- 100M data rows
- Einstein Suggested Visualizations
- Online learning
- Analytics dashboard designer
- Partner analytics apps on AppExchange
- Visual data preparation
- Embedded predictive insights.
- HIPAA, SOC 1 and 2, ISO, and GDPR compliant
Pricing Information
Snowflake | Salesforce |
Snowflake offers four quote-based enterprise pricing plans. Standard Edition: Premier Edition: Enterprise Edition: Enterprise Edition (for sensitive data): | Salesforce Analytics offers the following plans, all of which are billed annually. Einstein Predictions: $75/user/month. Einstein Analytics Growth: $125/user/month. Einstein Analytics Plus: $150/user/month Tableau Creator: $70/user/month Tableau Explorer: Starting price at $35/user/month Tableau Viewer: Starting at $12/user/month |
Company Size
Snowflake | Salesforce |
-Suitable for Large Enterprises and Medium Businesses. | -Suitable for Medium Businesses and Larger Enterprises. |
Customer Support
Snowflake | Salesforce |
-Live Support -Phone | -Email -Phone -Tickets. When customers encounter issues, they submit support tickets. To interact with customers, service agents respond to support tickets. The ticket is closed when the issue is resolved. |
User Personas
Snowflake has a variety of users with database engineers making up of the vast majority.
Salesforce is mainly used by:
- Sales Managers
- Field Sales and Inside Sales professionals: To track leads and convert them to customers effectively.
Read More About: Salesforce Marketing Cloud to Snowflake Integration
Final Thoughts
In this blog post, we have discussed Snowflake vs Salesforce and their key features and compared them against different parameters.
Getting data from or into Salesforce or Snowflake can be a time-consuming and resource-intensive task, especially if you have multiple data sources. Instead of spending months developing and maintaining such data integrations, you can enjoy a smooth ride with Hevo Data’s 150+ plug-and-play integrations (including 40+ free sources).
Visit our Website to Explore Hevo
Saving countless hours of manual data cleaning & standardizing, Hevo Data’s pre-load data transformations get it done in minutes via a simple drag n drop interface or your custom python scripts. No need to go to your data warehouse for post-load transformations. You can simply run complex SQL transformations from the comfort of Hevo’s interface and get your data in the final analysis-ready form.
Want to take Hevo Data for a ride? Sign Up for a 14-day free trial and simplify your data integration process. Check out the pricing details to understand which plan fulfills all your business needs.
Sharon Rithika Content Writer, Hevo Data
Sharon is a data science enthusiast with a hands-on approach to data integration and infrastructure. She leverages her technical background in computer science and her experience as a Marketing Content Analyst at Hevo Data to create informative content that bridges the gap between technical concepts and practical applications. Sharon's passion lies in using data to solve real-world problems and empower others with data literacy.
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