Salesforce Data 360 (formerly Data Cloud) Reviews (315)

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Salesforce Data 360 (formerly Data Cloud) Reviews (315)

View 1 Video Reviews
4.3
315 reviews

What do users say?

Generated using AI from real user reviews
Users consistently praise the product for its ease of use and ability to unify data from multiple sources, which simplifies customer segmentation and enhances marketing efforts. Many appreciate how it provides a centralized view of customer data, making it easier to make informed decisions. However, some users note that the initial setup can be complex and may require significant training.

Pros & Cons

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Srinivas Y.
SY
Srinivas Y.
Technical Architect
Small-Business (50 or fewer emp.)
"Boosted Lead Management with Seamless Integration"
4/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Banking
CB
Verified User in Banking
Mid-Market (51-1000 emp.)
"Powerful Real-Time Customer 360, but Implementation and Cost Need Careful Planning"
3.5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Preston K.
PK
Preston K.
Senior Instructional Designer
Mid-Market (51-1000 emp.)
"Simplifies Data Consolidation, Challenges in Advanced Features"
4/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Mauricio Alexandre S.
MS
Mauricio Alexandre S.
Salesforce Architect
Mid-Market (51-1000 emp.)
"Easy to Use with a Smooth Flow from Ingestion to Unification"
5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Noor A.
NA
Noor A.
Enterprise (> 1000 emp.)
"Unify Profiles Seamlessly"
5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Financial Services
UF
Verified User in Financial Services
Enterprise (> 1000 emp.)
"Impressive Data Cloud Evolution with Seamless End-to-End Marketing Automation"
4.5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Sunil T.
ST
Sunil T.
Director
Small-Business (50 or fewer emp.)
"Powerful Data Integration with Room for AI Enhancement"
4/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Rocky  N.
RN
Rocky N.
Senior Sales Executive
Mid-Market (51-1000 emp.)
"Comprehensive Data Management, but Needs Enhanced Integration"
4.5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Juan V.
JV
Juan V.
Senior Application Analyst
Mid-Market (51-1000 emp.)
"Unifies Data Silos, Enhances Audience Targeting"
3.5/5
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. Review collected by and hosted on G2.com.

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

Duplications could be improved also implementation costs Review collected by and hosted on G2.com.

Kellie S.
KS
Kellie S.
CRM Marketing Strategist
Enterprise (> 1000 emp.)
"Unifies Data Across Platforms Seamlessly"
4.5/5
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.