# 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:** 298
## 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 value the **seamless platform integration** of Salesforce Data 360, enhancing accessibility and data connectivity across the ecosystem. (79 reviews)
- Users appreciate the **ease of use** of Salesforce Data Cloud, enjoying its streamlined setup and data integration features. (56 reviews)
- Users love the **easy integration** with the Salesforce ecosystem, simplifying data unification and enhancing overall functionality. (53 reviews)
- Users appreciate the **real-time data unification** of Salesforce Data Cloud, enhancing customer insights and decision-making capabilities. (39 reviews)
- Users value the **seamless integration** capabilities of Salesforce Data 360, enhancing real-time data accessibility across systems. (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 **learning curve steep** for Salesforce Data Cloud, requiring significant expertise to navigate setup and data mapping. (53 reviews)
- Users express concern over the **expensive cost** and unpredictable pricing model, complicating budget management for businesses. (44 reviews)
- Users find the **difficult learning** curve challenging, making initial setup and navigation more complicated than expected. (37 reviews)
- Users find the **initial setup complex** , with a steep learning curve and costly pricing impacting accessibility for smaller teams. (36 reviews)
- Users find the **setup complex** and time-consuming, often needing assistance for proper configuration and data mapping. (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. Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 19, 2026

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

Salesforce Data 360 has become one of the most valuable parts of the Salesforce platform because it helps connect fragmented customer data and turn it into something usable across sales, service, marketing, commerce, analytics, and AI experiences. The biggest value for me is not only that it centralizes data, but that it makes data actionable inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, external databases, data lakes, marketing platforms, service interactions, and legacy systems, Data 360 gives teams a more complete and trusted customer view.

From a UI and UX perspective, Data 360 is strong because it follows the Salesforce configuration-oriented experience. The interface for mapping, harmonizing, and activating data is easier to understand than many traditional enterprise data platforms. For business and architecture teams, the value is that we can visualize data streams, identity resolution, calculated insights, segments, and activations without depending only on deeply technical data engineering work. It still requires strong data governance and architecture discipline, but the user experience reduces friction between technical teams and business stakeholders.

The integration capabilities are one of the main reasons Data 360 stands out. The ability to connect Salesforce clouds, external systems, data lakes, warehouses, web data, and other enterprise sources creates a practical foundation for Customer 360. I especially value the zero-copy approach because it helps reduce unnecessary data replication and supports more scalable architecture patterns. In real-world projects, this is important because many companies do not want to duplicate large volumes of sensitive or regulated data into Salesforce. Data 360 allows teams to access, harmonize, and activate data while keeping the broader enterprise data strategy intact.

Performance is another important benefit. When designed correctly, Data 360 supports near real-time use cases where teams need timely context, such as service agents viewing recent interactions, marketing teams creating smarter audiences, or AI agents using trusted customer data to generate more relevant responses. The performance depends heavily on data model quality, ingestion strategy, identity rules, and activation design, but the platform provides the foundation needed for enterprise-scale personalization and decisioning.

From a pricing and ROI perspective, Data 360 needs to be managed carefully because consumption-based pricing can become expensive if teams do not govern ingestion, segmentation, activation, and data usage. However, the ROI can be strong when the platform replaces duplicated integrations, reduces manual data preparation, improves campaign targeting, increases service efficiency, and enables trusted AI. The best value comes when Data 360 is treated as an enterprise data activation layer, not just another Salesforce add-on.

Support and onboarding are solid when teams use Salesforce Trailhead, documentation, implementation accelerators, and partner expertise. That said, onboarding should not be underestimated. A successful implementation requires business alignment, data governance, security design, identity strategy, consent management, and a clear activation roadmap. The tool is powerful, but companies need experienced architects and data owners to define the right foundation.

The AI and intelligence capabilities are where Data 360 becomes even more strategic. As Agentforce and Salesforce AI capabilities continue to evolve, trusted data becomes essential. AI is only as good as the data it can access, interpret, and act on. Data 360 helps provide that trusted layer by unifying customer context, creating calculated insights, and making enterprise data available for intelligent automation.

Overall, Data 360 provides the most value when organizations want to move from disconnected CRM data to a real customer intelligence platform. Its strongest benefits are data unification, enterprise integration, zero-copy architecture, actionable insights, and AI readiness. It is not a simple plug-and-play tool, but when implemented with the right architecture and governance, it can significantly improve workflow efficiency, personalization, analytics, and the quality of AI-driven customer engagement.

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

Still the calculator is the thing to get more updates to provide better information about credits consumption, otherwise the system is very good

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

Salesforce Data 360 solves one of the biggest enterprise problems: fragmented customer data. In many organizations, customer information is spread across CRM, marketing platforms, service systems, websites, data warehouses, external databases, and legacy applications. Data 360 helps bring those sources together into a unified customer profile, making the data easier to understand, govern, segment, and activate across the Salesforce ecosystem.

The biggest benefit is that teams can make decisions based on a more complete and trusted view of the customer. For example, service agents can see recent interactions, marketing teams can build more accurate audiences, and sales teams can understand customer behavior beyond standard CRM fields. This reduces manual work, duplicated integrations, and the need to switch between multiple systems.

It also supports better personalization and AI readiness. With Data 360, customer data becomes more actionable for automation, analytics, segmentation, and Agentforce use cases. Instead of AI working from incomplete or disconnected information, it can use a more reliable data foundation.

Overall, Data 360 benefits me by improving architecture consistency, reducing data silos, supporting real-time customer insights, and helping business teams turn enterprise data into practical actions inside Salesforce.

  ### 2. Unified, Actionable Customer Profiles Across the Salesforce Ecosystem

**Rating:** 5.0/5.0 stars

**Reviewed by:** Pablo C. | CRM Solution Designer, Mid-Market (51-1000 emp.)

**Reviewed Date:** May 05, 2026

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

What I like best about Salesforce Data 360 is that it helps bring customer data from different systems into a more unified and actionable view inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, marketing tools, service interactions, commerce data, and external sources, Data 360 makes it easier to connect those signals and use them in a more structured way.

I especially like the idea of creating a more complete customer profile that can be used across sales, service, marketing, and analytics. This is valuable because many organizations already have the data they need, but it is fragmented across different platforms and teams.

Another strong point is that Data 360 is designed to make customer data more usable for segmentation, personalization, reporting, and automation. When implemented well, it can help teams move from isolated data points to more context-aware customer engagement.

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

What I dislike about Salesforce Data 360 is that it can be complex to understand, implement, and maintain if the organization does not already have a clear data strategy. The platform is powerful, but getting real value from it requires clean source data, well-defined identity resolution rules, thoughtful data mapping, and alignment between business and technical teams.

Another challenge is that the terminology and architecture can feel difficult at first, especially for teams that are used to working only with standard Salesforce CRM objects. Concepts like data streams, data model objects, identity resolution, calculated insights, and activation require time to learn and configure correctly.

I also think the success of Data 360 depends heavily on governance. If the connected data sources are inconsistent, duplicated, or poorly documented, the platform can expose those issues rather than solve them automatically. It is not a quick plug-and-play solution; it needs careful planning, ownership, and ongoing data quality management.

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

Salesforce Data 360 helps solve the problem of fragmented customer data across different systems and teams. Many organizations have useful customer information in CRM, marketing platforms, service tools, commerce systems, analytics tools, and external databases, but that information is often disconnected. Data 360 helps bring those signals together so teams can work from a more complete customer view.

The main benefit is that customer data becomes more actionable. Instead of looking at isolated records or manually combining information from different tools, teams can use unified profiles, segments, calculated insights, and activations to support better sales, service, marketing, and reporting decisions.

It also helps improve personalization and prioritization. For example, teams can better understand customer behavior, engagement history, product usage, service interactions, and potential opportunities or risks. That makes it easier to target the right customers, personalize communication, and make decisions based on broader context.

Overall, Salesforce Data 360 benefits me by reducing data silos, improving visibility, and making customer data more useful for business processes, analytics, and customer engagement.

  ### 3. Strong Customer Data Platform with Real-Time Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Eder S. | Soluções Salesforce, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 21, 2026

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

What I like most about Data Cloud is its ability to unify customer data from multiple sources into a single, reliable profile. In practice, this makes a big difference when building audience segments, since I no longer have to deal with fragmented or inconsistent data.

The pre-built connectors are another highlight. They significantly reduce the effort required to integrate new data sources — what used to take days can now be done much faster, which helps me focus more on campaign strategy instead of technical setup.

Real-time data is also a game changer. It allows us to react almost instantly to customer behavior, enabling more relevant and timely communications, especially in automated journeys.

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

Overall, I find Data Cloud to be a very complete platform that meets most of my needs. However, the initial implementation can be quite complex, especially when dealing with data modeling and identity resolution across multiple sources.

This complexity can slow down the onboarding process and require more technical involvement than expected at the beginning. Over time, it becomes easier to manage, but the learning curve is definitely something to consider.

Improving the onboarding experience with more guided setups, clearer documentation, or predefined templates for common use cases would help reduce this initial barrier and accelerate time to value.

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

Before using Data Cloud, we struggled with fragmented customer data spread across multiple systems, which led to duplication, inconsistencies, and a lack of a clear customer view. This made it difficult to build reliable audience segments and impacted the effectiveness of our campaigns.

With Data Cloud, we were able to centralize and unify this data into a single, more reliable customer profile. Identity resolution was a key factor, allowing us to connect interactions across multiple channels and significantly improve data consistency.

As a result, we gained much more agility in building segments and activating campaigns. What previously required heavy support from technical teams can now be done more independently by marketing, reducing turnaround time.

Overall, this has improved our decision-making confidence and led to better engagement and conversion rates.

  ### 4. Efficient Data Unification with Room for Improvement

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jo T. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

I use Salesforce Data 360 as the foundation for our Marketing Cloud campaigns. It makes it easier to unify duplicate records, ensuring we communicate with the right details in a contact's preferred way. Once configurations are set up, it's straightforward to see all the different channels a contact comes from, have their data in one place, and easily act on insights. We can consolidate duplicated contacts to avoid over-sending or conflicting communications.

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

It would be great to have an easier way to understand credit consumption when performing a specific action, like maybe a callout when about to run something or after the run of a query to know how many credits were consumed. It was complicated, especially the concepts of data dictionary, data transforms and DLOs to DMOs, but we got through it.

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

Salesforce Data 360 helps us unify duplicate records and manage communications efficiently, ensuring we send relevant messages. It consolidates contact information, providing insights from all channels. However, understanding credit consumption could be more user-friendly.

  ### 5. Unified, Real-Time Customer Profiles with Powerful Identity Resolution

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ameer A. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 25, 2026

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

What I like best about Salesforce Data 360 (formerly Data Cloud) is how it brings all of our customer data together in one unified view. Before adopting it, our customer information was scattered across sales, service, marketing, and external sources — which made personalization and segmentation really difficult. With Data 360, we finally have a centralized and real-time profile for each customer that’s accessible across the entire Salesforce platform.

The data modeling and identity resolution capabilities are particularly strong. They make it easy to merge duplicate records and maintain clean, accurate profiles without extensive manual work. This has improved the quality of our analytics and given our teams confidence in the metrics they use to make decisions.

Another major benefit is the real-time data updates. Campaigns and journeys now react instantly to customer behavior, which has helped us deliver more timely and relevant experiences. It’s also straightforward to connect Data 360 with other Salesforce clouds (like Marketing Cloud and Service Cloud), which has streamlined our workflows and reduced integration complexity.

Overall, Data 360 has significantly improved how we understand and engage with our customers, making data more usable and actionable across teams.

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

One of the main challenges with Salesforce Data 360 is the initial setup and learning curve. The platform is powerful, but configuring data streams, identity resolution rules, and data models requires a solid understanding of both Salesforce architecture and data management concepts. For teams without strong technical resources, onboarding can feel complex.

Another drawback is cost. Data 360 is a premium product, and pricing can scale quickly depending on data volume and usage. For mid-sized organizations, this can become a significant investment.

Performance can also depend heavily on how well the data model is designed. If not structured properly from the beginning, you may face delays in processing or difficulty in creating segments. Additionally, troubleshooting data ingestion or identity resolution issues sometimes requires deeper platform knowledge than expected.

Overall, while it’s a very capable solution, it does require proper planning, skilled resources, and budget to fully realize its value.

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

Salesforce Data 360 is solving one of our biggest challenges — fragmented customer data across multiple systems. Previously, our sales, service, and marketing teams were working with different versions of customer information, which led to inconsistent communication and limited personalization. Data 360 consolidates all that data into a unified customer profile, giving us a single source of truth.

It also helps solve identity resolution issues. We used to struggle with duplicate records and incomplete customer views. With Data 360’s matching and reconciliation capabilities, we can merge records intelligently and maintain cleaner data, which improves reporting accuracy and decision-making.

Another major problem it addresses is real-time engagement. Before, we relied on batch updates, which delayed campaign triggers and personalization efforts. Now, customer behavior is reflected almost immediately, allowing us to trigger journeys, segmentation, and communications in near real time.

The benefit for us has been better segmentation, more targeted campaigns, and improved customer experience. Our teams collaborate more effectively because everyone is looking at the same data foundation. Ultimately, it has helped us move from reactive communication to proactive, data-driven engagement.

  ### 6. Game-Changing Real-Time Customer Data Unification for Personalized Journeys

**Rating:** 4.5/5.0 stars

**Reviewed by:** Carlos M. | Encargado de IT, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

The ability to unify customer data from multiple sources in real time is a game changer. The native integration with Marketing Cloud and the Salesforce ecosystem makes it very powerful for building personalized customer journeys at scale. The Identity Resolution and calculated insights features are particularly valuable for our use cases

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

The learning curve is steep, especially for teams transitioning from traditional CDP tools. Documentation can be inconsistent, and some advanced configurations require deep Salesforce expertise. Licensing costs can also be a barrier for mid-size organizations looking to adopt it.

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

It helps solve the challenge of fragmented customer data across multiple systems. By unifying data from CRM, marketing, and external sources into a single customer profile, we can activate more targeted and personalized campaigns. This has improved our team’s ability to deliver relevant experiences and make data-driven decisions faster.

  ### 7. .Powerful Real-Time Customer Profiles with Seamless Salesforce Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Drashti P. | Summer Internship Program, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 04, 2026

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

What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify customer data from multiple systems into a single real-time customer profile. It helps organizations make smarter decisions by connecting sales, service, marketing, and analytics data in one place.

I also appreciate the real-time insights, identity resolution, and seamless integration with the Salesforce ecosystem, which enables personalized customer experiences and better automation across teams. The platform’s scalability and AI-driven capabilities make it very powerful for modern customer engagement and data-driven strategies.

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

One challenge with Salesforce Data 360 (formerly Data Cloud) is that the initial setup and implementation can be complex, especially when integrating multiple data sources and defining identity resolution rules. It also has a learning curve for new users who are not familiar with data modeling and segmentation concepts.

Additionally, licensing and storage costs can become expensive for organizations managing large volumes of data, and some advanced features require significant technical expertise to fully utilize.

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

Salesforce Data 360 (formerly Data Cloud) helps solve the problem of fragmented customer data that exists across multiple systems and platforms. By bringing data together into a unified customer profile, it provides a complete and real-time view of customers, which improves decision-making and customer engagement.

This benefits me by enabling better personalization, faster access to insights, improved reporting accuracy, and more efficient collaboration between sales, service, and marketing teams. It also helps streamline data management processes and supports scalable, data-driven business strategies.

  ### 8. Salesforce Data Cloud Makes Customer Unification and Segmentation Effortless

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sheik Abdullah J. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** February 18, 2026

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

I have been working with Salesforce Data Cloud for the last six months. So far, I’ve really liked how it makes customer unification easy and straightforward. Before Data Cloud, it was very hard to get a complete view of the customer. Now, having a unified customer view and better segmentation has made targeted marketing much easier for us. Data Cloud feels like a game changer if you’re dealing with multiple data sources and interacting with customers across different channels. Einstein Studio’s custom predictive models are also a very good add-on.

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

So far, everything works as expected and mostly covers our needs. The pricing feels like too much if you’re not going to use all the features. Great tool overall.

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

The main challenge for us has been maintaining so many different data sources - Sales Cloud, Service Cloud, Snowflake, Pipe Drive, CSV files, etc. With Data Cloud, everything is in one place, which makes it a great choice for targeted and personalised marketing, along with strong segmentation options.

  ### 9. Easy Setup, Needs Better Segmentation

**Rating:** 3.5/5.0 stars

**Reviewed by:** anudeep d. | Small-Business (50 or fewer emp.)

**Reviewed Date:** April 15, 2026

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

I find Salesforce Data 360 really helpful for segmentation and building data extensions for marketing cloud journeys. It greatly simplifies the segmentation of data from multiple streams, including Snowflake. I also appreciate how it leverages calculated insights for building reports. The data ingress process is very easy; it’s incredibly simple to set up, and I can have it up and running, with data coming in, in less than an hour. Overall, all the features are great.

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

Data ingress should be free and the segmentation selection should be made easy. Segmentation and calculated insights can be more streamlined. Calculated insights reports should be grouped for dates. Segments selection of related attributes should be more streamlined and easy instead of an endless list of dropdown.

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

Salesforce Data 360 helps us in segmentation of data from multiple streams, even Snowflake, and uses calculated insights for building reports. The process of ingress is easy, and it's very easy to set up, getting data coming in less than an hour.

  ### 10. Transforms Data into Customer Insights Effortlessly

**Rating:** 5.0/5.0 stars

**Reviewed by:** David M. | Enterprise (> 1000 emp.)

**Reviewed Date:** April 16, 2026

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

I love the control possible from Salesforce Data 360 to capture data and then enhance or combine that data with Salesforce objects. Salesforce Data 360 has several features that support expansion. As we continue to learn more about what Salesforce can do for us, Salesforce Data 360 will be right there adding to our possibilities. The initial setup was very easy. The documentation was clear, and learning how to capture a data stream from our website was easy to configure.

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

One issue right now is Zero-copy support. There are MANY connectors in beta that have little to no updates in several months. We all know this takes time, but more communication around upcoming Zero-Copy support would be really appreciated.

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

I use Salesforce Data 360 to capture website data for our agent, consolidate customer data, and achieve a 360-degree customer view.

  ### 11. Accelerates Personalized, Efficient Member Experiences with Cross-Channel Data Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Doreen B. | Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

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

The data integration across channels will accelerate our ability to better meet member needs in a more personalized, timely, and efficient manner now and as we further explore agentic marketing capabilities in Salesforce.

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

Concerned with any default settings allowing a marketing role to delete an account (perhaps accidentally or intentionally). Administrator can turn this potential hazard off, but it would be nice to default to not allow that to happen without deliberate permission or a failsafe in place to recover data insights.

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

Serving as a central repository to migrate our disparate data silos for a better picture of our information, savings from releasing other platforms and ability to coordinate efforts

  ### 12. A Game-Changer for Data Management

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sri R. | Director Solution 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 really appreciate Salesforce Data 360's architecture; it represents a new way of thinking and designing. The canonical layer that Salesforce introduced is fantastic, as it helps reduce duplication and consolidates multi-record data into a 'golden record.' This was a game changer for me. I find it incredibly magical how Salesforce holds everything within native apps, which has simplified data storage by eliminating the need for third-party applications. The setup was surprisingly easy, requiring just a few clicks, which made transitioning very smooth.

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

One thing is I'm not very certain about the licensing cost.

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

I find Salesforce Data 360 a game changer for storage, reducing dependency on third-party apps and centralizing data. Its canonical layer reduces duplication, turning messy data from multiple sources into a golden record, which is fantastic.

  ### 13. Agentic AI Marketing Intelligence That Turns API Analytics Into Insights

**Rating:** 4.5/5.0 stars

**Reviewed by:** Cathy H. | Chief Marketing Officer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 05, 2026

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

I like being able to pull together all the disparate marketing analytics via API and then use marketing intelligence with Agentic AI to generate insights.

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

It’s not a feature that’s widely shared.

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

No more scuba gear. Data 360 brings together multiple sources of performance data—GA, LI, Meta, spreadsheets, and more—into one place. With the new Marketing Intelligence platform, you can use Agentic AI to query that data, or set up your marketing performance analytics in other ways within Data 360 to surface insights. It cuts out hours of diving through dashboards, reports, and spreadsheets just to understand what’s working.

  ### 14. Effective Integration, Confusing Initial Setup

**Rating:** 4.0/5.0 stars

**Reviewed by:** Murilo P. | Head of Development, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 16, 2026

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

I like the way Salesforce Data 360 integrates data. I work with system development and integration, so I really appreciate how it allows for various modes of data ingestion, activation, and system integration, and the use of connectors that facilitate projects. The ease of bringing specific marketing data from where the business needs it, greatly speeding up the process and avoiding data duplication, is something that highlights this product.

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

The settings are not very clear. We had some errors in the first projects.

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

I use Salesforce Data 360 to structure data for marketing campaigns and conversational flows, integrating systems easily through connectors, speeding up the process and avoiding data duplication.

  ### 15. Data 360 puts the power into marketer’s hands.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Julie O. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

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

Segment building is extremely easy for someone without extremely technical skills. It takes a lot of workload off of my dev and allows me to be involved earlier in the process.

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

It is extremely difficult to clean up dirty data once it’s in Data 360. This is a common issue for many companies across all industries so having an easier way to clean data once it’s been ingested would be great.

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

Siloed data and walled gardens. It’s been great to unify all data points to get a better picture of the full person we’re marketing to.

  ### 16. Streamlined Data Unification, Complex Setup

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kellie S. | Sr Program Mgr, Precision CRM & Analytics, Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

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

I really like the ability to create audiences easily as a marketer without having to go to the IT department to write SQL.

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

It is complex, and it would be easier with more agents to help create the audiences because right now, I'm the only one that can do it, and because I know the data best. If we had an agent to help others could use it as well.

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

Salesforce Data 360 unifies our market data with first-party data, letting me create audiences easily without needing the IT department to write SQL.

  ### 17. Boosted Lead Management with Seamless Integration

**Rating:** 4.0/5.0 stars

**Reviewed by:** Srinivas Y. | Technical Architect, 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 segmentation and integration with other clouds in Salesforce Data 360. We have a lot of lead data, and Salesforce Data 360 helps us automate, classify, and use these leads in Marketing Cloud, which is helping us grow our business.

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

I wish there were more features for data profiling and that segmentation came with more features. Also, it would be great if the pricing were less.

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

I use Salesforce Data 360 to refine lead data and automate lead handling, which helps grow our business by pushing clean leads to Marketing Cloud. It solves handling huge data and creates data sets through segmentation, aiding in data classification and integration with other clouds.

  ### 18. Powerful Real-Time Customer 360, but Implementation and Cost Need Careful Planning

**Rating:** 3.5/5.0 stars

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

**Reviewed Date:** April 16, 2026

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

What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify and activate customer data in real time across the entire Salesforce ecosystem. It brings together data from multiple sources—CRM, external platforms, and transactional systems—into a single, harmonized customer profile. This eliminates data silos and provides a true 360-degree view of the customer, which is incredibly powerful for both decision-making and personalization.

What stands out is how quickly this data becomes actionable. Instead of just storing information, Data 360 enables real-time segmentation, automation, and AI-driven insights that can be used instantly across marketing, sales, and service. For me, this means more accurate targeting, better customer experiences, and faster time to value. It also reduces the dependency on complex data pipelines, making it easier to scale data-driven strategies efficiently and confidently.

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

What I dislike about Salesforce Data 360 (formerly Data Cloud) is that, despite its powerful capabilities, it can be complex to implement and manage. Setting up data streams, identity resolution, and data models often requires a strong understanding of both Salesforce architecture and data engineering concepts, which can create a steep learning curve. For teams without dedicated expertise, this can slow adoption and delay value realization.

Another challenge is cost. Data Cloud can become expensive as data volume grows, especially when ingesting large datasets or enabling multiple use cases across teams. This makes it important to carefully plan usage and governance.

Additionally, while it promises real-time capabilities, achieving true real-time performance can sometimes depend on how well the data pipelines are configured. Overall, while it is a powerful platform, it requires thoughtful planning, expertise, and investment to fully leverage its potential.

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

Salesforce Data 360 (formerly Data Cloud) solves one of the biggest problems in banking: fragmented customer data spread across multiple systems like core banking, credit cards, loans, and digital channels. This fragmentation makes it difficult to understand customers holistically, leading to inconsistent experiences, missed cross-sell opportunities, and slower decision-making.

Data 360 unifies these data sources into a single, real-time customer profile with identity resolution, giving banks a true 360-degree view of each customer. It also enables real-time data activation, meaning insights can immediately trigger personalized actions across channels like mobile apps, email, and contact centers.

For a banking client, this translates into more relevant product recommendations (e.g., loans, credit cards), improved fraud detection through better data visibility, and enhanced customer service with faster, context-aware interactions. It also supports regulatory compliance by providing cleaner, more governed data. Overall, it helps banks deliver personalized, secure, and efficient experiences while driving revenue growth and operational efficiency.

  ### 19. Simplifies Data Consolidation, Challenges in Advanced Features

**Rating:** 4.0/5.0 stars

**Reviewed by:** Preston K. | Senior Instructional Designer, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 03, 2026

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

I use Salesforce Data 360 to consolidate our distributed data and reporting. I like the simplicity of the tool. It was easy to get the very basics set up, which was helpful.

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

Some of the data modeling and advanced transformation tools can be challenging to get to work well. It was easy to get the very basics set up, but getting the more advanced features configured has been more challenging.

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

I use Salesforce Data 360 to consolidate our distributed data and understand our business and customers better.

  ### 20. Easy to Use with a Smooth Flow from Ingestion to Unification

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 06, 2026

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

Easy to use, and I like how smoothly the flow runs from ingestion through unification. The way we can connect with other systems is easy and the zero-copy allow us to get more thing without think about the storage capacity.

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

The calculator still needs some improvements so it can provide a more accurate forecast over time for credit consumption.

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

The connections are easy to establish and sync. The way we can control the rules and apply them at scale is great. All the necessary steps to take and follow, from ingestion and transformation to unification, are easy to understand. It’s also straightforward to control the results and check that the information matches what I expect.

  ### 21. Unify Profiles Seamlessly

**Rating:** 5.0/5.0 stars

**Reviewed by:** Noor A. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

I like being able to connect all our data and bring customer data into a single profile. The identity resolution is especially valuable for unifying profiles, and it also makes it easier to segment based on those unified profiles.

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

Credit consumption is confusing.
Activation to some channels takes very long eg over 24 hours to publish to Google ads.

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

Unify profiles and provide segmentation access in Marketing Cloud Advanced so campaigns can be created quickly, without the constant back-and-forth across multiple teams.

  ### 22. Impressive Data Cloud Evolution with Seamless End-to-End Marketing Automation

**Rating:** 4.5/5.0 stars

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

**Reviewed Date:** June 03, 2026

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

It was pretty impressive how the data cloud evolved in the last few years. I really like how the data cloud is now operating as CDH once everyone envisioned. I also like how the campaigns can be now closely integrated with not only segmenting and activating but also an end-to-end flow enabling marketing automation. I also liked the digital wallets concept where we can continuously monitor our utilization.

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

The fuzzy match logic can be improved further to be as close to the deterministic. More data storage like snowflake perhaps can be considered to encourage the customers to fully move to data cloud.

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

No code low code concept for marketers to build the segments and activate, and analyze the insights

  ### 23. Salesforce Data Cloud: Powerful Customer Data Unification with Room for Simplified Adoption

**Rating:** 5.0/5.0 stars

**Reviewed by:** jasjit s. | Technical Lead, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 15, 2025

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

What stands out most about Salesforce Data Cloud is its ability to unify diverse customer data sources into a single, real-time customer profile. This comprehensive 360-degree view enables personalized marketing, sales, and service experiences driven by AI and analytics.

Key strengths include:

Seamless integration of data from multiple systems, including CRM, marketing, commerce, and more.

Powerful real-time segmentation and audience activation for targeted campaigns.

Built-in Einstein AI capabilities for predictive insights and next-best actions.

Scalability and flexibility to tailor data models and workflows to unique business needs.

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

One potential downside of Salesforce Data Cloud is its complexity and learning curve, especially for organizations new to data unification and customer data platforms. Setting up integrations, configuring data models, and leveraging AI-driven insights may require significant initial investment in time and skilled resources

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

Salesforce Data Cloud addresses the challenge of fragmented customer data by unifying multiple data sources into a single, real-time customer profile. This integration enables organizations to deliver highly personalized and timely interactions across marketing, sales, and service channels.

Benefits include:

Enhanced Customer Insights: A comprehensive view helps in understanding customer behavior and preferences more accurately.

Improved Personalization: Leveraging real-time data ensures tailored communications and offers, increasing engagement and loyalty.

Increased Efficiency: Automating data consolidation reduces manual effort and minimizes errors, streamlining decision-making processes.

Faster Responsiveness: Real-time insights support quicker response to customer needs, boosting satisfaction and retention.

  ### 24. Powerful Data Integration with Room for AI Enhancement

**Rating:** 4.0/5.0 stars

**Reviewed by:** Sunil T. | Director, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 17, 2026

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

I like the ability to add multiple streams of data using Salesforce Data 360 (formerly Data Cloud). This helps me get a better understanding of the customers by pulling in insights from various sources.

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

Sometimes the automating feature does not work, so it takes time to manually tag the data. It would be nice to have the data mapping improved using AI. Also, the initial setup was slightly complicated as it had a learning curve for data mapping.

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

I use Salesforce Data 360 to access and analyze data from multiple sources, giving us a better understanding of customers.

  ### 25. Comprehensive Data Management, but Needs Enhanced Integration

**Rating:** 4.5/5.0 stars

**Reviewed by:** Rocky  N. | Senior Sales Executive, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 15, 2026

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

I like the zero copy feature. It helps me reduce historical data costs.

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

I'd say the one to one, I guess, limitation. So one connecting only one data cloud to one Salesforce. Instance is a huge limitation. Ideally, being able to connect one data cloud to multiple Salesforce instances would be a major selling point.

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

Salesforce Data 360 helps by ingesting data from multiple sources, establishing data streams, unifying customer data for real-time insights, and enabling personalization at scale. It assists in connecting, matching, and resolving data with reconciliation rules, empowering us to analyze customers on a unified level.

  ### 26. Unifies Data Silos, Enhances Audience Targeting

**Rating:** 3.5/5.0 stars

**Reviewed by:** Juan V. | Senior Application Analyst, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

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

I like that Salesforce Data 360 (formerly Data Cloud) solves the issue of having silos of data, providing a unified platform which makes it easier to capture the correct audience through segmentation. Additionally, setting it up was easy with the help of partners.

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

Duplications could be improved also implementation costs

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

I use Salesforce Data 360 to unify our data, solving silos and making targeting our audience possible. Segmentations help capture the correct audience.

  ### 27. Unifies Data Across Platforms Seamlessly

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kellie S. | CRM Marketing Strategist, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

I appreciate its ability to unify data across multiple sources and platforms, bringing everything together in one place.

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

I do wish it were a bit more flexible and possibly use AI to guide me through the audience build process.

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

We’re able to match our first-party data with market and consumer data, which adds more detail to our dataset and allows us to use the predictive modeling included in our market (third-party) data.

  ### 28. Unified Real-Time Profiles and Instant Segmentation Across Salesforce

**Rating:** 5.0/5.0 stars

**Reviewed by:** Israel G. | Co-Founder, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

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

The unified real-time customer profiles. ingesting data from any source and activating segments instantly across all Salesforce tools.

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

The pricing and complexity of data credit consumption is opaque and hard to predict, making budget planning difficult especially as data volumes scale.

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

Eliminating siloed customer data across systems. We now have one unified profile per customer, enabling personalized outreach at scale and reducing wasted marketing spend on outdated or duplicate records.

  ### 29. Evolving Tool with Potential, Pricing Needs Clarity

**Rating:** 3.5/5.0 stars

**Reviewed by:** Chetan A. | Associate Project Manager| Salesforce Consultant, Information Technology and Services, Mid-Market (51-1000 emp.)

**Reviewed Date:** April 16, 2026

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

I like that Salesforce Data 360 is operating at a very good speed. It's improved a lot over the last two years. I think this is the next big thing with the Salesforce platform. Without using Salesforce Data 360, staying relevant in the ecosystem would be challenging, as it's very important.

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

I think it's pricing model. It's a little confusing. It has a lot of variability in that.

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

Salesforce Data 360 solves our need for a reference system without full master data management, providing insights on profile engagements and ecosystems for a holistic view.

  ### 30. Salesforce Marketing Specialist

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jessica A. | Intern , Mid-Market (51-1000 emp.)

**Reviewed Date:** June 04, 2026

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

Zero Copy is great. So we do not have to worry about coping data from our data warehouse. Data kit makes easier to implement and map everything.

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

The platform is too slow when it comes to building segments and activating them.

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

Our marketing team doesn’t need to worry about writing queries anymore, and most of the additional systems we use already have default connectors.

  ### 31. Flexible, Adaptable Solution That Fits Our Legacy Systems

**Rating:** 4.0/5.0 stars

**Reviewed by:** Crystal S. | Senior Associate, Marketing Automation, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

I really like the flexibility. In a legacy org, we have a lot of systems that aren’t aligned with each other, so having something adaptable makes a big difference and helps us work around those gaps.

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

What I enjoy least is the lack of technical documentation, as well as the support team’s limited understanding of best practices.

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

Identity resolution and duplicate management.

  ### 32. Highly Functional Data Lake That Unifies Complex, Disconnected Data

**Rating:** 5.0/5.0 stars

**Reviewed by:** Crystal S. | Digital & Marketing Automation Manager, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2026

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

It’s a highly functional data lake that brings our clients’ complex, disconnected data together and makes it work.

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

I don’t like that it requires so much development work to get all the data mapped properly and to build householding.

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

It’s unifying our data to understand the customer better than ever before while unlocking the ability for us to report on ROI.

  ### 33. Aggregate Data for Informed Decisions

**Rating:** 4.5/5.0 stars

**Reviewed by:** Hrushi M. | Small-Business (50 or fewer emp.)

**Reviewed Date:** April 16, 2026

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

I think it's great that Salesforce Data 360 puts all the data together for me, allowing me to make some creative decisions. I also use reports and dashboards mostly from Salesforce Data 360, which I find valuable.

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

I think it would be more helpful if I could get more insights from other external systems that are related to the same account.

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

I use Salesforce Data 360 to view account details and metrics, and it helps me put all the data together, allowing for creative decisions.

  ### 34. The easiest way to ingest data I have seen in some time

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jack S. | Managing Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** September 17, 2025

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

The zero-copy functionality has proved its value time and time again. Allowing a seamless, cheap and easy way to bring data into your Salesforce instance for segmentation, analytics, AI, or any other purpose.

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

The party identifcation DMO proves rather difficult to break down and understand, and a good technical understanding of this and the 360 model is needed in order to properly drive unification. At the time we implementated, the documentation was somewhat poor however since then, it has significantly improved, and the online communities such as Data Blazer proved a fruitful source of infomration.

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

- Integrations, particuarly using a connector or zero copy, are far easier, quicker, and require less resources to setup.

-Being able to show data from Data Cloud using the Copy Field/Related List has meant that adding new fields and allowing access for advisors has streamlined business processes.

- The future of the platform is being built on Data Cloud, and preparing it using connectors and Data Kits has been relatively seamless since the beginning and does not require a mass of resources to get in place.

  ### 35. A Strategic Enabler for Unified Customer Intelligence and Activation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Tejas P. | Salesforce Developer, Enterprise (> 1000 emp.)

**Reviewed Date:** September 15, 2025

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

What stands out most is how seamlessly Data Cloud integrates with both Salesforce-native and external data sources like Amazon S3. The platform’s ability to harmonize disparate datasets into a unified customer profile has been a game-changer. Its real-time segmentation and activation capabilities allow us to respond to customer behavior with agility, while the intuitive UI and strong governance features make it scalable across teams. The identity resolution engine is particularly impressive—it’s helped us reduce duplication and improve personalization across channels.

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

While the platform is robust, the initial onboarding and data modeling phases require a steep learning curve, especially for teams new to CDPs. Some UI components can lag when handling large datasets, and a few connectors for niche third-party tools require custom development. Additionally, documentation around advanced orchestration flows could be more detailed to support complex use cases.

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

Salesforce Data Cloud is helping us solve the challenge of fragmented customer data across systems. By centralizing and harmonizing data, we’ve built a reliable Customer 360 view that powers real-time segmentation and activation. This has improved campaign performance, reduced operational silos, and enhanced customer experience. It’s also helping us stay compliant with data privacy regulations through strong governance features.

  ### 36. Easy Access and Setup, But Duplication Needs Work

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tanuj M. | Manager, National Collections, Enterprise (> 1000 emp.)

**Reviewed Date:** April 15, 2026

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

I like the ease of access that Salesforce Data 360 offers, it makes using the platform straightforward. I find the validation feature valuable, which supports my work effectively. The initial setup was easy for my team, which made the transition smooth.

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

I find dealing with duplication a bit frustrating. There could be improvements in how duplicates are managed, specifically making it easier to merge them.

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

Salesforce Data 360 gives me an overview of a customer journey, helping with everything related to customers.

  ### 37. No-Code Segmentation and Einstein-Powered Insights for Faster Data Work

**Rating:** 4.0/5.0 stars

**Reviewed by:** Ashfhaq S. | Senior Consultant, Consulting, Enterprise (> 1000 emp.)

**Reviewed Date:** April 21, 2026

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

Data 360 offers no‑code segment builders, streaming insights, and Einstein‑powered capabilities—such as Einstein Segment Creation and vector search—that enable business users and analysts to work with data effectively, without relying heavily on data‑engineering support.

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

Pricing is high.Also configuration is bit complex.

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

Data cloud mainly solving the problem of fragmented, “siloed” customer data by creating a single, real‑time Customer 360 that can be used across Sales, Service, Marketing, and AI workflows—without you having to build and maintain complex custom pipelines.

  ### 38. Data Cloud: The Best Data Tool for CRM

**Rating:** 4.0/5.0 stars

**Reviewed by:** Júlio Cezar d. | Especialista em Arquitetura de Solução, Mid-Market (51-1000 emp.)

**Reviewed Date:** June 03, 2026

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

In my opinion, Data Cloud is the best data tool to use for CRM.

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

It could be more headless, and the deployment process from sandbox to production feels strange. Also, it doesn’t pick up data stream connections properly.

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

Identity resolution feels slow and somewhat limited, especially when I’m trying to use it for purposes outside of CRM.

  ### 39. Valuable Single Source of Truth, But Training Is Essential

**Rating:** 3.5/5.0 stars

**Reviewed by:** Adam D. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

We find there is tremendous value in a single source of truth for all of our data.

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

I find that with lots of training we have been able to move data 360 in the direction we need it to go but the training was essential.

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

It gives our team the ability to follow the customer journey

  ### 40. Flexibility and Good Integration, But Connections Could Be Improved

**Rating:** 5.0/5.0 stars

**Reviewed by:** Leydy Yohana V. | Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

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

I like the flexibility of Salesforce Data 360. I also appreciate its integration with other platforms like Marketing Intelligence and Tableau, which significantly enhances the experience.

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

It wasn't so simple to make the connections.

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

I use Salesforce Data 360 to create a complete view of customer behavior and solutions for creating segmented and targeted audiences.

  ### 41. Unified Profile Linkage Delivers a True 360° Customer View

**Rating:** 4.0/5.0 stars

**Reviewed by:** Angus M. | Marketing Technologist, Enterprise (> 1000 emp.)

**Reviewed Date:** June 04, 2026

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

The unified profile linkage helps preserve all source data across your systems while still giving 360 view of your customer

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

Definitely a complex system, needs heavy technical skills to support and maintain

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

Unifying our data across all systems; helps make sure we are saying the same things cross functionally and optimizing the customer experience

  ### 42. Data Cloud Unified Our Siloed Data for Better Marketing and Reporting

**Rating:** 5.0/5.0 stars

**Reviewed by:** Suraj dutt C. | Small-Business (50 or fewer emp.)

**Reviewed Date:** June 04, 2026

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

We have lot of data in silos, like in Snowflake CRM and on website. Data cloud helped integrate all the data at one place and unify them. Then we use this data for downstream Marketing cloud and reporting

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

Sometimes, there are glitches and snags, like when activating subscriberkey to Marketing cloud.

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

Unification and downstreaming.

  ### 43. Powerful User Segmentation and Insight Dashboards for Smarter Marketing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Jim T. | Associate Director - Digital Engagement and Customer Experience, Enterprise (> 1000 emp.)

**Reviewed Date:** June 03, 2026

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

I like the ability to create segmented list of users so we can target our marketing better. Also like the calculated insight dashboard.

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

The time to implementation has taken us much longer than we anticipated

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

It is allowing us to unify all of our customer information from multiple disparate systems into one section

  ### 44. Unified View of In-App Chat, GenAI, and Crawled Content Data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Leisure, Travel & Tourism | Enterprise (> 1000 emp.)

**Reviewed Date:** April 15, 2026

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

We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place.

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

The data consumption is a bit tricky to navigate in terms of costs associations and detailed breakdowns between Prod and Sandboxes to triage usage.

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

We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place.

  ### 45. Exploring the Potential of Data 360

**Rating:** 5.0/5.0 stars

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

**Reviewed Date:** June 04, 2026

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

Data 360 looks very promising and can really help us unify and activate customer data across systems. All the sessions I attended at Salesforce Connections were very informative and provided great insights into its capabilities and future potential.

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

While Data 360 is very promising, some of the concepts and capabilities can feel complex for new users. I would have appreciated more hands-on demonstrations and deeper technical examples to better understand implementation and day-to-day usage.

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

Data 360 eliminates data silos and provides a single source of truth for customer data.

  ### 46. Efficient Data Insights, Challenging Setup

**Rating:** 4.0/5.0 stars

**Reviewed by:** rishi d. | Manager - CRM IT, Small-Business (50 or fewer emp.)

**Reviewed Date:** April 15, 2026

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

I like the ease of use of Salesforce Data 360 (formerly Data Cloud) and how quickly we can achieve what we need. I appreciate having no data silos and being able to take real-time action.

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

Setup is not plug and play.

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

I use Salesforce Data 360 for single customer view, real-time data insights, and advanced segmentation. I like the ease of use and how quickly we get the results, with no data silos and real-time action.

  ### 47. 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.

  ### 48. 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.

  ### 49. 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.

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

**Rating:** 5.0/5.0 stars

**Reviewed by:** Anubhav C. | Enterprise Data & 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.


## 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?section=pricing&secure%5Bexpires_at%5D=2026-06-11+01%3A26%3A12+-0500&secure%5Bsession_id%5D=d6c7232f-7488-4d3c-a3ac-523eedcabcff&secure%5Btoken%5D=e0b8079f93af040ad55e34e06813393808386c0883959a9d0a7c2f10881bafbe&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/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 (441 reviews)
  - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (394 reviews)