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

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. 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.

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.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Zero copy data migration is incredibly efficient and seamless. It eliminates the need for manual data movement, saving time and reducing errors during integration Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

(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. Review collected by and hosted on G2.com.

(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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.