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  1. Home
  2. /
  3. Salesforce Data 360
Logo of Salesforce Data 360

Salesforce Data 360

bySalesforce
in Customer Data Platforms
4.4
2025

Overview

Product Information on Salesforce Data 360

Updated 13th October 2025

What is Salesforce Data 360?

Salesforce Data Cloud is a software that enables organizations to unify diverse data sources into a single platform, providing a real-time view of customer data across applications and channels. The software integrates information from various systems, including marketing, sales, service, and commerce, allowing users to manage, segment, and analyze customer profiles for personalized engagement. Salesforce Data Cloud supports identity resolution, enabling the consolidation of multiple records into a comprehensive profile, and offers data activation features to facilitate the delivery of relevant information across business processes. It addresses business challenges related to data fragmentation and supports informed decision-making by making current customer data accessible and actionable.

Salesforce Data 360 Pricing

Salesforce Data Cloud software uses a subscription-based pricing model with fees determined by factors such as data storage, data processing volume, number of users, and selected features or add-ons. Pricing is structured in tiers, allowing organizations to choose according to their data management and analytics requirements.

Overall experience with Salesforce Data 360

It Associate
<50M USD, IT Services
FAVORABLE

“The Essential Engine for Agentforce and Unified Data Automation.”

4.0
Feb 8, 2026
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Director of IT Services
10B - 30B USD, Consumer Goods
CRITICAL

“Integration Options Improve Speed, But Cost Transparency and Error Handling Lacking”

3.0
Aug 25, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
Customer Data Platforms

About Company

Company Description

Updated 6th March 2025

Salesforce is a company that integrates artificial intelligence with customer relationship management and data to create solutions for customer-related concerns. Salesforce's primary business problem is to enhance the interaction between businesses and their customers by leveraging technology.

Company Details

Updated 2nd November 2023
Company type
Public
Year Founded
1999
Head office location
San Francisco, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.salesforce.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

Salesforce Data 360 Reviews and Ratings

4.4

(149 Ratings)

Rating Distribution

5 Star
51%
4 Star
42%
3 Star
6%
2 Star
1%
1 Star
0%
Why ratings and reviews count differ?
  • It Associate
    <50M USD
    IT Services
    Review Source

    The Essential Engine for Agentforce and Unified Data Automation.

    4.0
    Feb 8, 2026
    As a developer, I found the data cloud robust for unifying complex data sources. While deployment and object mapping require careful configuration, the seamless integration with AI features like prompt templates and process content makes it an essential tool for modern Salesforce solutions.
  • It Associate
    <50M USD
    IT Services
    Review Source

    The Essential Engine for Agentforce and Unified Data Automation.

    4.0
    Feb 8, 2026
    As a developer, I found the data cloud robust for unifying complex data sources. While deployment and object mapping require careful configuration, the seamless integration with AI features like prompt templates and process content makes it an essential tool for modern Salesforce solutions.
  • Read All 178 Reviews

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Recommended Gartner Insights

  • Critical Capabilities for Customer Data Platforms
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User Sentiment About Salesforce Data 360
Reviewer Insights for: Salesforce Data 360
Deciding Factors: Salesforce Data 360 Vs. Market Average
Performance of Salesforce Data 360 Across Market Features

Salesforce Data 360 Likes & Dislikes

Like

AI & Agentforce Integration: It makes building context-aware agents in Agentforce much more effective without complex custom code. DataCloud triggered Flow: I appreciate how easily we can trigger standard Salesforce flows based on data model changes or calculated insights. Zero Copy Architecture: The ability to access data from external lakes (like Snowflake or AWS) without investing large amounts of integration effort.

Like

AI & Agentforce Integration: It makes building context-aware agents in Agentforce much more effective without complex custom code. DataCloud triggered Flow: I appreciate how easily we can trigger standard Salesforce flows based on data model changes or calculated insights. Zero Copy Architecture: The ability to access data from external lakes (like Snowflake or AWS) without investing large amounts of integration effort.

Like

AI & Agentforce Integration: It makes building context-aware agents in Agentforce much more effective without complex custom code. DataCloud triggered Flow: I appreciate how easily we can trigger standard Salesforce flows based on data model changes or calculated insights. Zero Copy Architecture: The ability to access data from external lakes (like Snowflake or AWS) without investing large amounts of integration effort.

Dislike

Need detailed insight into errors, the ability to stop processes which are stuck/long running, and the ability to receive error notifications of failed processes. Removing data from the system is challenging (to address changes in business needs, archival of data, etc. ). Need increased visibility into consumption and process dependencies to control costs.

Dislike

Need detailed insight into errors, the ability to stop processes which are stuck/long running, and the ability to receive error notifications of failed processes. Removing data from the system is challenging (to address changes in business needs, archival of data, etc. ). Need increased visibility into consumption and process dependencies to control costs.

Dislike

Need detailed insight into errors, the ability to stop processes which are stuck/long running, and the ability to receive error notifications of failed processes. Removing data from the system is challenging (to address changes in business needs, archival of data, etc. ). Need increased visibility into consumption and process dependencies to control costs.