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

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

One thing is I'm not very certain about the licensing cost. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The settings are not very clear. We had some errors in the first projects. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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.