---
title: Salesforce Data 360 (formerly Data Cloud) Reviews
meta_title: 'Salesforce Data 360 (formerly Data Cloud) Reviews 2026: Details, Pricing,
  & Features | G2'
meta_description: Filter 305 reviews by the users' company size, role or industry
  to find out how Salesforce Data 360 (formerly Data Cloud) works for a business like
  yours.
aggregate_rating:
  rating_value: 4.3
  review_count: 305
  scale: '5'
date_modified: '2026-07-05'
parent_category:
  name: Marketing
  url: https://www.g2.com/categories/marketing
---

# Salesforce Data 360 (formerly Data Cloud) Reviews
**Vendor:** Salesforce  
**Category:** [Customer Data Platforms (CDP)](https://www.g2.com/categories/customer-data-platform-cdp)  
**Average Rating:** 4.3/5.0  
**Total Reviews:** 305
## About Salesforce Data 360 (formerly Data Cloud)
Salesforce Data Cloud unlocks the full value of your enterprise data by powering Customer 360 apps, Agentforce, and enhancing your existing data lake and warehouse investments with real-time insights and intelligent action. Natively built on the Salesforce Platform, Data Cloud is designed to complement—not replace—your current systems. It acts as a smart data bridge, unifying structured and unstructured data from lakes, warehouses, and business applications using low-code tools. With Zero Copy architecture and deep partnerships with Amazon, Snowflake, Databricks, and Google, you can maximize existing data investments and activate data seamlessly across the Salesforce ecosystem.



## Salesforce Data 360 (formerly Data Cloud) Pros & Cons
**What users like:**

- Users appreciate the **seamless platform integration** of Salesforce Data 360, enabling effortless data connectivity for all operations. (79 reviews)
- Users appreciate the **ease of use** of Salesforce Data 360, allowing for efficient access to customer data in one place. (56 reviews)
- Users value the **easy integration** of Salesforce Data 360, seamlessly connecting data across Salesforce platforms for improved workflows. (53 reviews)
- Users value the **comprehensive data integration** of Salesforce Data 360, enabling a unified view for informed decision-making. (39 reviews)
- Users value the **seamless integration** capabilities of Salesforce Data 360, enhancing their ability to unify customer data effectively. (38 reviews)
- Data Integration (36 reviews)
- Data Centralization (35 reviews)
- Integration Capabilities (34 reviews)
- Users appreciate the **easy integrations** of Salesforce Data Cloud, enabling seamless data access and streamlined workflows. (33 reviews)
- Data Quality (31 reviews)

**What users dislike:**

- Users find the **steep learning curve** of Salesforce Data 360 challenging, impacting their initial setup and knowledge retention. (53 reviews)
- Users find the **expenses quite high** , especially for large datasets and frequent real-time queries, impacting overall value. (44 reviews)
- Users face a **difficult learning curve** with Salesforce Data 360, finding the setup and new terminology quite challenging. (37 reviews)
- Users face **implementation complexity** , especially new users who struggle with understanding features and initial setup. (36 reviews)
- Users face a **complex setup** with Salesforce Data 360, requiring extensive training and a steep learning curve. (34 reviews)
- Data Management Issues (25 reviews)
- Difficult Setup (25 reviews)
- Users note a **steep learning curve** with Salesforce Data Cloud, making it challenging for beginners to navigate effectively. (25 reviews)
- Complex Implementation (24 reviews)
- Setup Difficulty (24 reviews)

## Salesforce Data 360 (formerly Data Cloud) Reviews
  ### 1. Our Single Source of Truth For Customer Data

**Rating:** 3.5/5.0 stars

**Reviewed by:** Tarun K. | IT Consultant, Information Technology and Services, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 20, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

What i like best about Salesforce Data Cloud is how it brings all of my company's data together in one place. In my day-to-day work, i use it to create unified customer profiles that give me a clear understanding of each customer, which makes it easier to make informed decisions and plan next steps. It gives me confidence that the data I'm working with is accurate and up-to-date. It helps me break down data silos, harmonize information from different systems and automate workflows without needing to manually pull data from multiple sources. The platform is straightforward to set up and get running and i rely on it daily to access real-time insights and manage my tasks efficiently. Integration with other salesforce apps is seamless and customer support is always responsive and helpful whenever i needed guidance. Using it has made my work faster, more organised and more impactful, allowing me to focus on delivering better outcomes for our customers.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

There's really nothing i dislike about Salesforce Data Cloud. The platform is constantly evolving with new features and improvements being released which keeps it exiting to learn and use.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data Cloud solves the challenge of fragmented and siloed data across multiple systems. In my work, it helps me unify customer data into a single source of truth, giving me a clear understanding of each customer. This allows me to make faster, data-driven decision, automate workflows and deliver more personalized engagement. By breaking down data silos and harmonizing information from all sources, it has improved my efficiency, productivity and confidence in the insights i use every day.

  ### 2. Powerful Data Activation Platform with Strategic Planning Required for Success

**Rating:** 5.0/5.0 stars

**Reviewed by:** Pramod P. | Sr Salesforce Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** September 04, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Zero copy data migration is incredibly efficient and seamless. It eliminates the need for manual data movement, saving time and reducing errors during integration

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Initial Learning Curve: The platform has a steep learning curve, especially for teams unfamiliar with data lakehouse concepts or Salesforce-native data architecture.

Cost Management: Usage-based pricing can be difficult to predict, especially when data volumes scale rapidly. Organizations need to monitor usage closely to avoid unexpected costs.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data Cloud is solving the challenge of fragmented customer data across multiple systems. By unifying data from various sources into a real-time customer graph, it enables a 360-degree view of the customer. This helps us deliver personalized experiences, improve targeting, and automate workflows more effectively. The zero-copy architecture ensures data stays where it is, reducing duplication and improving performance. Overall, it’s helping us make smarter decisions faster and drive better engagement across channels.

  ### 3. Zero-Code Data Visibility and Easy Marketing Segmentation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Elizabeth S. | Owner, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Zero code copy ability to see data  the ability to create segments for marketing purposes easily.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The biggest drawback is the conception based pricing. If you are a company with a lot of data it can be very costly.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Data visibility, easy segmenting, eliminates the need for IT support.

  ### 4. Salesforce Data Cloud Excels at Unifying Customer Data for Personalized Engagements

**Rating:** 5.0/5.0 stars

**Reviewed by:** Anubhav C. | Enterprise Data &amp; AI Specialist, Information Technology and Services, Small-Business (50 or fewer emp.)

**Reviewed Date:** August 20, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

(1) Unified Customer Profiles: Data Cloud’s ability to harmonize data from different sources into a single, actionable Customer view is a standout feature, enabling personalized interactions across sales, service, and marketing. 

(2) AI powered insights: Integration with Salesforce AI provides predictive analytics and real time insights, helping businesses forecast, understand customer behavior, and reduce churn. 

(3) Scalability and Integration: The platform’s zero-ETL architecture and out-of-the-box connectors allow seamless data flow from external systems, making it adaptable for diverse business needs.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

(1) High Cost for Smaller Organizations: The platform’s pricing can be prohibitive for smaller businesses, with premium features often requiring higher tier subscriptions. 

(2) Complex Configuration Process: Setting up integrations and custom workflows can be time-consuming and may require expert assistance, increasing implementation costs. 

(3) Limited Offline Capabilities: The platform's reliance on real-time data processing can be a drawback for organizations needing robust offline management.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce data cloud offers a robust platform for unifying customer data across channels, enabling real-time insights and personalized experiences. It excels in consolidating disparate data sources into a 360° customer view, which is critical for businesses aiming to leverage AI and automation. However, its complex navigation and occasional integration delays can hinder the user experience, particularly for new users. The platform’s strengths lie in its capabilities and AI integration, but it might require some initial training and regular reviewing of resources to maximize its potential.

  ### 5. Insightful Data 360 for Connecting Enterprise Data Across Sources

**Rating:** 4.0/5.0 stars

**Reviewed by:** Vinay A. | Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** June 24, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Data 360 is very insightful, and it lets us connect enterprise data from different sources.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I didn’t find anything where I dislike this feature

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

This can benefit enterprises with their organized and unorganised data in different source systems

  ### 6. Salesforce Data 360: Easy to Use from Day One

**Rating:** 4.5/5.0 stars

**Reviewed by:** Brandi B. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 05, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

What I like best about Salesforce Data 360 is the ease of use.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I have not used Salesforce Data 360 long enough to find anything I dislike.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

We are moving from a (very old) CRM that had multiple data sources to Salesforce, so the possibilities seem endless.

  ### 7. Audi Connect Manager

**Rating:** 4.5/5.0 stars

**Reviewed by:** Devi N. | Audi Connect Manager , Mid-Market (51-1000 emp.)

**Reviewed Date:** April 17, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

It helps us consolidate dealer concerns in one place. At VW Canada, we use Salesforce for both dealer support and customer support, which makes it easier to manage everything in a single system.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

It takes quite a bit of training to be able to use the platform to its full potential.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It helps consolidate customer and dealer concerns, which makes it easier to identify trends in what’s working and what isn’t.

  ### 8. User-Friendly Setup, Robust Data Handling

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User | Enterprise (> 1000 emp.)

**Reviewed Date:** June 22, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like that Salesforce Data 360 is mostly clicks, not code when setting up, making it very user-friendly. I also appreciate how it offers zero-copy from other systems when dealing with large volumes of data. The initial setup is very straightforward by using out-of-the-box setups and guides.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The consumption model can be difficult to understand.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It allows us to store unstructured data for our Agentforce chatbot to read and offer automated answers to our customers.

  ### 9. Simple Data Integration, Mapping, and Activation Made Easy

**Rating:** 4.5/5.0 stars

**Reviewed by:** Thomas S. | Digital Marketing Leader - Marketing Technology, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The simplicity of being able to integrate and map data, and how easily you can segment and activate it.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The cost model can be unwieldy and escalate quickly if not properly monitored.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Being able to unify various data silos around a single view of the customer.

  ### 10. Efficient Data Integration with a Hidden Cost

**Rating:** 4.0/5.0 stars

**Reviewed by:** Harpreet K. | Sr. Salesforce System Administrator, Enterprise (> 1000 emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like Salesforce Data 360 (formerly Data Cloud) for its ability to group and transform data, which is a powerful feature for us. Our legacy data is unstructured and not formatted consistently, so this capability to transform and map with Salesforce is really beneficial.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Hidden cost

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I use Salesforce Data 360 to integrate legacy platforms, solve data mapping and structuring issues, and transform unstructured data to be consistent with Salesforce.

  ### 11. Powerful for Large Data Sets, Insights, and Batch Transformations

**Rating:** 4.5/5.0 stars

**Reviewed by:** Mark B. | Salesforce Solution Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Managing large data sets with calculated insights and batch transformationa

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Doesn’t always live up to the hype of zero-copy; for large transactional volumes that require good amount of filtering it falls flat

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Marketing segmentation with consent though due to internal complexities hasn’t been fully implemented.

  ### 12. Seamless System Integration for Better Lead Insights

**Rating:** 4.5/5.0 stars

**Reviewed by:** Lyly F. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I love that we can integrate all the system to get information about lead

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Mmm, maybe some segmentation features require technical knowledge.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I like having all my data in one place, and I’d also like the option to integrate it with WhatsApp.

  ### 13. Powerful Insights with Data Cloud

**Rating:** 5.0/5.0 stars

**Reviewed by:** shayan k. | Salesforce Developer, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 17, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like how Salesforce Data Cloud brings data from different sources into a single real-time view of the customer. It makes it easier to build personalized experiences, drive smarter automation, and even helps agents by providing relevant knowledge articles to support customers better.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Sometimes Salesforce Data Cloud can feel a bit complex to set up and manage, especially when dealing with large data models and identity resolution. It takes time to configure properly and can be overwhelming for new users

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

alesforce Data Cloud solves the challenge of scattered customer data across different systems. It unifies all that data into one real-time profile, which helps me build more accurate automations and deliver personalized experiences. It also saves time for agents by giving them quick access to complete customer information and relevant knowledge articles

  ### 14. Full Salesforce Data Access for Account Engagement Customers

**Rating:** 5.0/5.0 stars

**Reviewed by:** Yvette M. | CEO, Management Consulting, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The ability for Account Engagment customers to access and use all SF data

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The UI is a bit too technical for the average marketer to build segments anf data graphs.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Data silo -- better data access
Plus usable data with unification

  ### 15. Unified Data Hub with High Transaction Costs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.)

**Reviewed Date:** April 16, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like how unified the data is in Salesforce Data 360, because it makes it easier for us to query and process that data in other systems. I also appreciate how straightforward the initial setup was, especially with the connectors.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The cost is my main issue. It feels expensive per transaction, especially once the multipliers are applied.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I use Salesforce Data 360 to retain user information and make sure all my data stays in the right place. Having everything unified also makes it easy for me to query the data and process it in other systems when I need to.

  ### 16. Effortless Multi-Source Data Unification for Cleaner Contact Consolidation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Carrie F. | Marketing Automation Specialist, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 05, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The ability to unify data from multiple sources, takes the gas work out of consolidating contact information

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

At this point there's nothing to not like!

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It's giving us the ability to bring all of our data together

  ### 17. Seamless Data Unification for Powerful Reporting and Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

It seamlessly brings multiple structured and unstructured data sources into a single system, unifying them for reporting and insights that can later be activated or ingested by other systems.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I don’t like the level of complexity involved with the different activations, even though they’re very convenient and practical for more complex segmentations and personalization.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

The main benefit—and the core problem it solves—is the ability to unify individuals across siloed systems and all kinds of sources.

  ### 18. Great Out-of-the-Box Data Model, but Workflows Take Too Many Clicks

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The way its out of the box data model captures many common customer attributes and touchpoints across industries.  This enables quick wins out of the box instead of custom configurations.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Way too many click required in a workflow.  I am constantly going back to a main tab and clicking through many screens to get to where I need to go.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Giving a click not code solution to building customer segments for a marketing team.

  ### 19. Powerful Customer Insights and I love this cloud!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Kalyan P. | Salesforce Developer, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 15, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I appreciate how this platform brings together customer data from various sources into a single, unified profile, providing a clear and consolidated overview. The real-time insights and segmentation features allow me to better understand customer behavior and respond quickly. The AI-powered recommendations and analytics support more data-driven and efficient decision-making. I also value how well it integrates with other Salesforce tools, which makes the overall workflow more connected and seamless.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The setup and configuration can feel complex at times, especially when dealing with data mapping and permissions — it requires a learning curve and technical precision.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data 360 addresses the challenge of fragmented and isolated customer data spread across different systems. Rather than having to switch between various platforms, I now have a single, real-time view of all customer interactions. This unified perspective allows for better personalization, supports more informed decision-making, and results in campaigns that are both more targeted and effective. Personally, this means I spend less time on manual data management and can dedicate more energy to strategic initiatives, all supported by reliable insights.

  ### 20. Steep Learning Curve But Integrates Well for Segmentation

**Rating:** 2.5/5.0 stars

**Reviewed by:** Rahimeh B.

**Reviewed Date:** October 16, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I appreciate how Salesforce Data Cloud simplifies the creation of segmentations using various criteria and data points which isn't possible in native Salesforce reports. The integration with Marketing Cloud is extremely useful, allowing us to act on insights about prospects and enhance account engagement.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I find setting up Salesforce Data Cloud to be quite difficult due to the extensive training required and the new terminology introduced. It feels almost like learning a new product from scratch, especially with functionalities like data mapping, unification, and segmentation that we hadn't handled before. Additionally, the product's complexity is heightened by areas where writing code is necessary, such as with calculated insights and query editors, which differ significantly from standard Salesforce administration tasks. This steep learning curve is not just challenging but makes the overall user experience less intuitive, especially for experienced Salesforce administrators.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It solves complex marketing segmentation by using criteria and attributes from different data points, enhancing our segmentation capabilities beyond native Salesforce reports. The integration with Marketing Cloud enables us to act on insights, improving prospect engagement.

  ### 21. Powerful Customer Insights with Salesforce Data Cloud, but Setup and Costs Can Be Challenging

**Rating:** 5.0/5.0 stars

**Reviewed by:** Aswini G. | Senior Manager, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 16, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

What I appreciate most about Salesforce Data Cloud is how it brings together data from various sources to form a unified, real-time customer profile, offering a comprehensive 360° view of each person. Its AI-powered segmentation and activation features make it possible to deliver highly personalized marketing and engagement. I also value the way it integrates smoothly with the wider Salesforce ecosystem, which supports more intelligent automation and improved decision-making across sales, service, and marketing.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

What I dislike about Salesforce Data Cloud is that initial setup and data mapping can be complex, especially when dealing with legacy or siloed systems. It also requires strong data governance and technical expertise to maintain accuracy and prevent duplication. Additionally, licensing and storage costs can become significant as data volume and use cases expand.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data Cloud solves the problem of disconnected and fragmented customer data by bringing information from multiple systems into a single, unified profile. It enables real-time insights, smarter segmentation, and personalized engagement across every touchpoint. This benefits me by providing a deeper understanding of customers, more effective targeting, and improved business decisions driven by accurate, up-to-date data.

  ### 22. Flexible Salesforce Integrations That Just Work

**Rating:** 5.0/5.0 stars

**Reviewed by:** Evelyn G. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I appreciate the flexibility of integrations, both internal and external, within the Salesforce environment.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

It can feel a bit complex when I’m trying to set up something custom.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

The agentic functionality creates creative segments and campaigns.

  ### 23. Powerful Segmentation, Complex Setup

**Rating:** 4.0/5.0 stars

**Reviewed by:** Sushree R M.

**Reviewed Date:** October 15, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I love how Salesforce Data Cloud has significantly simplified segmentation for my marketing team. They can now create the segments they desire without writing SQL or code, using just natural language and a user-friendly drag-and-drop interface. The identity resolution feature is impressive, and the prebuilt connectors are highly convenient, allowing for out-of-the-box use alongside segmentation capabilities.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

{"Setting up Salesforce Data Cloud was difficult, especially the harmonization process where I had to map it to the canonical models. It was a painful process, though it was a one-time effort.","I would like to have more ingrained data governance that can mirror my Salesforce score, permissions, and governance.","The pricing model is very complicated. If it were simpler, it would make it easier to use more of the data cloud."}

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I find Salesforce Data Cloud solves segmentation issues, enabling my marketing team to create segments with ease using natural language and drag-and-drop UI without coding.

  ### 24. Unified 18 Legacy Systems into Salesforce with Data 360

**Rating:** 4.0/5.0 stars

**Reviewed by:** Alisha S. | Senior Director, Salesforce Applications, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Data 360 prompted me to get a data warehouse that helped me bring data form over 18 legacy systems in one screen in Salesforce

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Downside is basically the cost point of it 
It makes it hard for no. Profit organizations to use data 360

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Solving the biggest use case of customer data platform in Salesforce for our customer support reps

  ### 25. Facilitate Audience Segmentation with Ease

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jaderson J. | Head of Presales &amp; Solutions Architecture, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 16, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like the ease of implementation and also the ease of use for the business area to segment through the data.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I see that the training issue could be improved.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I use Salesforce Data 360 for profile unification and identity resolution, centralizing all my data on a single platform, which makes audience segmentation easier.

  ### 26. Centralized Core Platform, but External Connector Setup Is Complex

**Rating:** 3.5/5.0 stars

**Reviewed by:** Karishma S. | Data Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Everything is centralized and on core which makes it extremely easy to govern

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The external credentials, connector set up is far more complex

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Bring data from different sources like marketing, sales etc in one place

  ### 27. Real-Time Data Governance with Zero Cloud Capacity

**Rating:** 5.0/5.0 stars

**Reviewed by:** David  R. | Prime Account Executive Commercial (Digital, Professional Services), Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The zero cloud capacity to foster data governance while utilizing data in real time.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Pricing and implementation concerns. Pricing is fine if ROI is shown.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Legacy data unification without removing our current tech stack.

  ### 28. Effortless Setup, Powerful Data Management

**Rating:** 4.5/5.0 stars

**Reviewed by:** Mateo U. | Math Center Tutoring Intern, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 16, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like how easy Salesforce Data 360 (formerly Data Cloud) is to use. I find the zero copy of data feature very important as data needs to be updated regularly. The initial setup was also very easy.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Nothing I can think of

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data 360 solves data management issues with zero copy of data, making data updates seamless.

  ### 29. Greater knowledge and control of my clients' data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Diana Paola  R. | Consultor SAP Técnico, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

It allows me to have greater knowledge and control over my clients' data and their movements.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Simpler integration with Google connectors.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

360 knowledge of my clients and their consumption

  ### 30. Great benefits from this tools to a really large company such as Claro ecuador

**Rating:** 4.0/5.0 stars

**Reviewed by:** Pedro I. | Jefe de comunicación y medios digitales, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

The way we can connect all tha company arquitecture data and use it to make decisions.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The complexity and the partnership needed to fulfill correct integration.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Knowing the journey from my customers

  ### 31. New excellent environment and seamlessly connected integrations

**Rating:** 5.0/5.0 stars

**Reviewed by:** Luz V. | Coordinadora CRM , Enterprise (> 1000 emp.)

**Reviewed Date:** May 25, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like the whole new environment and how you can connect all the integrations.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Actually, nothing. Everything is easy and simple; I haven't had any problems.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

There is a lack of a direct connection to the GEE API.

  ### 32. Powerful Multi-Platform Corporate Data Consolidation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Hyman T. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Ability to consolidate corporate data across multiple platforms

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The training to be able to use it is massive

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Access via i primary entry point while view data across platforms

  ### 33. Great Integration and Clean Room Sharing, but Too Many Fields

**Rating:** 3.5/5.0 stars

**Reviewed by:** April D. | Membership and Environmental Programming Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I love the integration and clean room data sharing. This is based on the demo.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The quantity of info and fields. I feel like im constantly scrolling.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

N/A

  ### 34. A Unified Data View That Unlocks New Insights and Business Value

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Non-Profit Organization Management | Enterprise (> 1000 emp.)

**Reviewed Date:** April 16, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like the way of unifying all my data, in place, to give me a full picture of my data and bring in new insights, opportunities and business value.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The biggest drawback for me is the cost of Data 360. It makes it hard to justify the ROI my organization pays for, especially when I compare it with other cloud providers like Snowflake.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It combines all the data we need to give my org a full picture, and it helps us uncover new insights and spot trends.

  ### 35. Very Helpful for Data Abstraction and Bit Masking

**Rating:** 5.0/5.0 stars

**Reviewed by:** Rajni P. | Enterprise (> 1000 emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

It’s been very helpful for data abstraction and bit masking, and it makes those tasks easier to manage.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I don’t think anything i dislike anything about it. Everything is best.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

As I said the data abstraction and bit masking are very helpful in solving the problems like hiding sensitive information.

  ### 36. Unifies and Organizes All Our Data in One Platform

**Rating:** 4.0/5.0 stars

**Reviewed by:** Pavan S. | Salesforce Integration Consultant, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 20, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

It helps unify and organize data by bringing everything together on a single platform, making it easier to structure information in one place.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

We have to map the data structure from all sources manually, since there’s no auto-mapping.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Unifying data from all sources into a single platform.

  ### 37. Customization and easy integrations that make the difference

**Rating:** 4.5/5.0 stars

**Reviewed by:** João E. | Analista de Testes, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Customization and ease in integrations

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Pricing format for the areas to achieve complete adherence

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Integrations and customization, consent management, and data management

  ### 38. Flexible Segment Unification and Activation from Anywhere

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Unification and segment population that you can preview and activate from anywhere.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Black box of how identity resolution is running with multi level attributes
Custom dmo set up takes lot of time .. need improvement over steps to implement it

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Silo data sources comes under one tool and then we build calculated insights to do scoring to build our known customer journeys

  ### 39. Great Segment Builder and Activation, but Profile Unification Can Be Tricky

**Rating:** 3.5/5.0 stars

**Reviewed by:** Allison B. | Digital Marketing Specialist, Hospital & Health Care, Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Segment builder and activation processes

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Complications unifying profiles delays many capabilities

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Being able to easily use multiple data objects and activation partners with segmentation

  ### 40. Powerful and Scalable Customer Data Platform That Drives Unified Insights

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jose Carlos P. | Solutions Architect Lead, Enterprise (> 1000 emp.)

**Reviewed Date:** October 09, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I appreciate the platform’s ability to aggregate and harmonize diverse data sources quickly, creating a single source of truth. The real-time data updates and native AI capabilities provide actionable insights that drive smarter decision-making. Additionally, the tight integration with Salesforce Marketing Cloud and other Salesforce products streamlines campaigns and personalization efforts.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The initial setup and data modeling can be complex and require a steep learning curve, especially for teams new to customer data platforms or Salesforce’s ecosystem. Documentation and support could be more comprehensive to help accelerate onboarding and troubleshooting.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

appreciate the platform’s ability to aggregate and harmonize diverse data sources quickly, creating a single source of truth. The real-time data updates and native AI capabilities provide actionable insights that drive smarter decision-making. Additionally, the tight integration with Salesforce Marketing Cloud and other Salesforce products streamlines campaigns and personalization efforts.

  ### 41. Excellent for Data Unification and Salesforce Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I like the UI of Salesforce Data 360. It unifies data, which is super important for me. I also like how it integrates with Salesforce Marketing Cloud. Additionally, setting it up in sandboxes is easy.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

I think it could have a simpler usage/pricing model.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce Data 360 unifies data, which is super important, and integrates well with Salesforce Marketing Cloud.

  ### 42. Marketing Cloud Next’s Data Optimization Is a Standout

**Rating:** 5.0/5.0 stars

**Reviewed by:** Guilherme S. | Marketing Campaign Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

the optimization of date inside the marketing cloud next

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

the number os documentation without a real case cenarios

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

resolve the lag

  ### 43. Data Cloud: New Cloud of AI Era

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mukesh R. | Software Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 15, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Salesforce Data cloud can do best to ingest and harmony your data from multiple sources. It's easy to connect with multiple data sources. Salesforce provides good support in-case you face any issue. Data cloud is now my daily go to tool for viewing performance of my agentforce agents. Data cloud is very easy to implement and it provides out of the box connecters for ease of integration.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Sometimes while  making vector embeddings for data library or files, it comes up with empty chunks, anyway you can always rebuild from search index tab.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Salesforce data cloud is solving problem of manging duplicate data for customers, It brings and unify multiple data into unique.

  ### 44. Salesforce data cloud helps to unify the data across multiple platform

**Rating:** 4.5/5.0 stars

**Reviewed by:** mamatha  h. | Senior Quality Analyst, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 11, 2025

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

1. I have liked how effortlessly we can ingest the data from different sources and how the data is being unified  and also segmenting the data based on requirement.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Data mismatch when we inject the data from snowflake and also we don't have option to download the data from data explorer or profile explorer

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

1.I work for a company called Ecolab which basically provide services in the cleaning, purification and water treatment industry hence we have lot of customers maintained in different systems . With the help of data cloud we are creating a single view of contact and activating  to marketing cloud to provide personalized experience for each customer .

  ### 45. Built-In Connectors Make Data 360 Integration and Targeting Easy

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Manufacturing | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 03, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

There are so many built-in connectors that make it easy to connect data to Data 360 and push data segments for targeting.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

There's a steep learning curve but a few hands-on training with an expert is helpful.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

We use it for identity resolution and to build a unified customer profile to support our marketing efforts.

  ### 46. Salesforce Data 360 Handles Massive Data Efficiently

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Simply put, Salesforce Data 360 is great at handling intimidatingly large amounts of data efficiently and effectively.

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

The pricing model is somewhat volatile if managed incorrectly, and it’s a bit difficult to implement- the training required to use it was a lot for new hires.

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Again, Salesforce Data 360 is great for large amounts of data- for example, I had to use it in the past to manage and store tens of thousands of student records.

  ### 47. D360 Is Simple to Use and Easy to Implement

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

I think its much simpler to use, understand and even implement as compared to sfmc. I have been. Marketing cloud user and it has been a bit of challenge initially but D360 is easy

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Nothing much so far but we are currently comparing data segments from old system to mew D360 and it felt a bit time consuming

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

Its solving my Loyalty cloud project implementation by pulling right data from for Marketing Cloud and SfLM customers

  ### 48. Great 360° User View, but Too Costly and Click-Heavy with a Buggy UI

**Rating:** 2.5/5.0 stars

**Reviewed by:** Vijay R. | Salesforce Architect, Enterprise (> 1000 emp.)

**Reviewed Date:** April 15, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Ability to connect data from multiple systems and create a 360 view of the users

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

Cost. So much credits and quite not easy to analyze 
Too many clicks. Buggy UI

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

It provides a 360-degree view of customer data.

  ### 49. Seamless 3rd-Party Data Imports for Building Individual Profiles

**Rating:** 5.0/5.0 stars

**Reviewed by:** Parth S. | Mid-Market (51-1000 emp.)

**Reviewed Date:** April 16, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

Ability to bring data from 3rd party systems, and build individual profile

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

We need more connectors support and agentic layer to help figure out stuff

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

I have single source of the truth of our end user

  ### 50. Effortless Unstructured Data Ingestion from PDFs and Emails

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Food & Beverages | Enterprise (> 1000 emp.)

**Reviewed Date:** May 20, 2026

**What do you like best about Salesforce Data 360 (formerly Data Cloud)?**

ingestion of unstructured data from pdf files and emails helped my team with APIs that return json  response which made tickets resolution faster

**What do you dislike about Salesforce Data 360 (formerly Data Cloud)?**

documentation could have been better. it was difficult to learn coming from microsoft environment

**What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?**

The ticket resolving platform could read the PDF and email unstructured data, and it reduced the AI model hallucinations.


## Salesforce Data 360 (formerly Data Cloud) Discussions
  - [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager)
  - [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager)
  - [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses)

- [View Salesforce Data 360 (formerly Data Cloud) pricing details and edition comparison](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews?page=2&section=pricing&secure%5Bexpires_at%5D=2026-07-06+01%3A32%3A56+-0500&secure%5Bsession_id%5D=8fb8e547-b1db-423e-984e-ea4b7bccb5fe&secure%5Btoken%5D=d0ee53b9dd46a426eb7d90a057f05d2ca90963b0608b5828bb1e24c918690335&format=llm_user)
## Salesforce Data 360 (formerly Data Cloud) Integrations
  - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews)
  - [Agentforce Financial Services (formerly Salesforce Financial Services Cloud)](https://www.g2.com/products/agentforce-financial-services-formerly-salesforce-financial-services-cloud/reviews)
  - [Agentforce Marketing (formerly Salesforce Marketing Cloud)](https://www.g2.com/products/agentforce-marketing-formerly-salesforce-marketing-cloud/reviews)
  - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews)
  - [Agentforce Service (formerly Salesforce Service Cloud)](https://www.g2.com/products/agentforce-service-formerly-salesforce-service-cloud/reviews)
  - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews)
  - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews)
  - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews)
  - [AWS Cloud](https://www.g2.com/products/aws-cloud/reviews)
  - [AWS Cloud Development Kit (AWS CDK)](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews)
  - [Azure](https://www.g2.com/products/hopem-azure/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Google Analytics](https://www.g2.com/products/google-analytics/reviews)
  - [Google Cloud](https://www.g2.com/products/google-cloud/reviews)
  - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews)
  - [Microsoft 365](https://www.g2.com/products/microsoft365/reviews)
  - [NetSuite](https://www.g2.com/products/oracle-netsuite/reviews)
  - [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Pipedrive](https://www.g2.com/products/pipedrive/reviews)
  - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews)
  - [Salesforce B2C Commerce](https://www.g2.com/products/salesforce-b2c-commerce/reviews)
  - [Salesforce Marketing Cloud Personalization (formerly Interaction Studio)](https://www.g2.com/products/salesforce-marketing-cloud-personalization-formerly-interaction-studio/reviews)
  - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews)
  - [Shopify](https://www.g2.com/products/shopify/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Twilio](https://www.g2.com/products/twilio/reviews)
  - [Workday](https://www.g2.com/products/workday-workday/reviews)
  - [Zendesk for Customer Service](https://www.g2.com/products/zendesk-for-customer-service/reviews)

## Salesforce Data 360 (formerly Data Cloud) Features
**Data Integration**
- 1st-Party Data Integration
- 2nd-Party Data Integration
- 3rd-Party Data Integration
- Offline Data Integration
- Mobile Data Integration
- Data Export Tools

**Administration**
- Data Modelling
- Recommendations
- Workflow Management
- Dashboards and Visualizations

**Data Sourcing**
- Data Enrichment
- Expandability
- Content Marketing
- Multiple Devices

**Audiences**
- Audience Insights
- Influencer Identification
- Buyer Personas
- Segmentation

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage

**Management**
- Hierarchy Management
- Reference Data Management
- Data Lineage
- Metadata Management

**Agentic AI - Firewall Software**
- Autonomous Task Execution
- Adaptive Learning

**Agentic AI - Data Management Platform (DMP)**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Proactive Assistance
- Decision Making

**Data Analysis & Optimization**
- Audience Segmentation
- Recommendations
- Standard Dashboards
- Custom Reports

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring

**Intelligence**
- Marketing Metrics
- Predictive Modeling
- Recommendation Engine

**Data Analysis**
- Network Analysis
- Dashboards
- Visualizations
- Advanced Filtering

**Security**
- Access Control
- Roles Management
- Compliance Management

**Functionality **
- Multi-Domain
- Match & Merge
- Relationship Mapping
- User Interface

**Security**
- Data Governance
- Data Masking

**Platform**
- Data Permissions
- User, Role, and Access Management
- Performance and Reliability
- Enterprise Scalability
- Internationalization

**Data Quality**
- Data Preparation
- Data Distribution
- Data Unification

**Administration**
- Marketing Integrations
- Ad Integrations
- Data Exporting

**Maintainence**
- Data Quality Management
- Policy Management

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Audience Intelligence Platforms**
- Autonomous Task Execution
- Cross-system Integration
- Adaptive Learning
- Proactive Assistance

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making

## Top Salesforce Data 360 (formerly Data Cloud) Alternatives
  - [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews) - 4.5/5.0 (555 reviews)
  - [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) - 4.3/5.0 (445 reviews)
  - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (397 reviews)

