Salesforce Data 360 (formerly Data Cloud) Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The calculator still needs some improvements so it can provide a more accurate forecast over time for credit consumption. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I like the zero copy feature. It helps me reduce historical data costs. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I think it's pricing model. It's a little confusing. It has a lot of variability in that. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I think it would be more helpful if I could get more insights from other external systems that are related to the same account. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I find dealing with duplication a bit frustrating. There could be improvements in how duplicates are managed, specifically making it easier to merge them. Review collected by and hosted on G2.com.