Name: Salesforce Data 360
Rating: 4.4 (149 reviews)

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.

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

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.

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

Overall the product is meeting expectations. Lack of transparency in the application of the cost of consumption prior to running solutions (e.g. segments) would improve the experience.

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.

For Market:
Customer Data Platforms

About Company

Company Description

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

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

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

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.

Calculated insights are especially helpful in augmenting segmentation to personalize interactions with consumers. Zero-copy ETL minimizes the amount of data movement; would love to see this feature handle a more robust amount of data. The increasingly robust number of integration options to bring data in has minimized IT work and increased integration speed.

ease of implementation and setup, zero-copy integration between Salesforce Data Cloud and Snowflake, speed and reliability of data sharing connection

Complex Deployment: moving data cloud configuration between environments (like from sandbox to production) feels less mature than the core platform. Limited debugging visibility: it can feel like a black box when things go wrong. Troubleshooting why a specific record didn't unify or why a segment failed to publish is difficult due to the lack of granular error logs. Credit Consumption Management: Predicting and monitoring credit usage during the development phase is tough.

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.

cost of service might be a factor depending on scope and size of data share planned and should be compared to existing solutions if applicable. Also, the credit consumption calculation could be more straightforward. There is currently no easy self-service tool available to calculate and forecast credit consumptions of specific use cases.

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<50M USD

IT Services

Review Source

The Essential Engine for Agentforce and Unified Data Automation.

PRODUCT OWNER

10B+ USD

Transportation

Streamlined Integration Between Salesforce and Snowflake Boosts Data Sharing Reliability

5.0

Dec 2, 2025

very easy setup experience. Salesforce provided a lot of supporting resources like tutorials, detailed documentation and specific person to support us during the implementation process. Data Cloud helped us replace an existing file ingestion solution and improved data sharing reliability and speed between Salesforce and Snowflake

IT MANAGER

50M-1B USD

Software

Single Source of Truth Improves Workflow, but Raises Concerns Over Cost

Nov 10, 2025

The overall experience is amazing. Not only does it store the data in a single place, it also gives you the power of a single source of truth. It is kind of a central system.

Marketing Manager

1B-10B USD

Strong Innovation Noted But Clarity on Data Strategy Remains Unresolved

Oct 19, 2025

multiple features, new innovation and strong roadmap to agent force and AI

Solutions Architect Lead

Flexible Data Aggregation Features Offset Challenges With Initial Setup Complexity

Oct 9, 2025

The platform is scalable and flexible, supporting complex data models and use cases with ease.