--- title: Salesforce Data 360 (formerly Data Cloud) Reviews meta\_title: 'Salesforce Data 360 (formerly Data Cloud) Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 319 reviews by the users' company size, role or industry to find out how Salesforce Data 360 (formerly Data Cloud) works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 319 scale: '5' date\_modified: '2026-08-10' parent\_category: name: Marketing url: https://www.g2.com/categories/marketing --- # Salesforce Data 360 (formerly Data Cloud) Reviews & Product Details Visit Website Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed. This allows you to immediately personalize every customer experience, unlock connected journeys, and power smarter AI agents grounded in trusted business context. Data 360 activates your trusted context across every surface and every agent in your enterprise—wherever the work happens. * * * Product Website Salesforce Data 360 (formerly Data Cloud) Seller [Salesforce](https://www.g2.com/sellers/salesforce) Discussions [Salesforce Data 360 (formerly Data Cloud) Community](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/discuss) Solution Type All-in-One Overview by Oleg Kulda Show More ## Pricing Pricing provided by Salesforce Data 360.... ### Consumption Credits $500.00 100000 Credits [ View More Pricing Information ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/pricing) ## Salesforce Data 360 (formerly Data Cloud) Integrations (50) What do users say about integrations? 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PC Pablo C. CRM Solution Designer Mid-Market (51-1000 emp.) 5/5/2026 "Unified, Actionable Customer Profiles Across the Salesforce Ecosystem" 5/5 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. 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 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Pranit B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pranit B.") PB Pranit B. Tableau CRM Developer Enterprise (\> 1000 emp.) 7/16/2026 "Integrative Data Unification with Stellar Analytics" 5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I use Salesforce Data 360 to bring in CRM Analytics datasets as DLO, which power the semantic model for Analytics Agent. It enables us to have an intelligent experience in data analytics, allowing users to ask questions directly to the agent and get insights rather than just viewing charts and tables. I really like the power of unification and reconciliation that Salesforce Data 360 offers. Additionally, transforming data segmentation and activation to Marketing Cloud works especially well. The initial setup was extremely easy. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? I find it challenging when using Salesforce Data 360 that it doesn't suggest which DMO to use for a particular DLO out of the box. Sometimes it gets difficult to map my DLO to an existing DMO, and having an option to get suggestions for the right DMO would be really helpful. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 enables us to have an intelligent experience in data analytics by allowing users to ask questions directly to the agent and get insights, rather than just viewing charts and tables. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Seller invite HP Hemanth Kumar P. Mid-Market (51-1000 emp.) 7/13/2026 "Powerful Segmentation, Steep Learning Curve" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I really like the segmentation feature in Salesforce Data 360. Once the Data Model Objects (DMOs) are mapped cleanly, building and refreshing our six customer segments is fast and reliable. The identity resolution feature is another highlight as it helped us create a unified customer view from scattered CRM data, which was our main goal. I appreciate the Calculated Insights too, even with its quirks. It allows me to derive insights like preferred product categories directly in the platform, saving me from a lot of back-and-forth. The ability for segments like VIPs, sleeping customers, and category-specific buyers to stay live without manual list-pulling for every campaign saves significant time and improves targeting. We can act on actual purchase behavior rather than guesswork, making re-engagement easier. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The calculated insights SQL engine has some limitations - no subqueries, window functions, or DATEDIFF, and the workarounds like chaining three CIs together aren't documented anywhere. The initial setup isn't easy; there's a real learning curve, especially with mapping DLOs to DMOs and configuring identity resolution rules. It took a fair bit of trial and error, and these SQL engine restrictions are only discovered by hitting errors. This phase requires patience and hands-on debugging. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 solves our scattered customer data problem, consolidating into unified profiles. Segmentation lets us efficiently target based on actual behavior, saving time. Identity resolution and Calculated Insights streamline data processes, though quirks exist. Overall, it enhances our customer data management significantly. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Seller invite ![Eder S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Eder S.") ES Eder S. Soluções Salesforce Mid-Market (51-1000 emp.) 4/21/2026 "Strong Customer Data Platform with Real-Time Insights" 5/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More 4/25/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Jo T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jo T.") JT Jo T. Enterprise (\> 1000 emp.) 6/3/2026 "Efficient Data Unification with Room for Improvement" 4/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite on behalf of seller ![Verified User in Computer Software](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Computer Software") AC Verified User in Computer Software Mid-Market (51-1000 emp.) 9/18/2024 "My personal experience with the Salesforce Data 360" 5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? Salesforce Data 360 is easy to use with its intuitive interface and customizable dashboards. Setup is simple, especially if you're already using Salesforce products, and their support team is excellent, offering 24/7 help and plenty of resources. It's designed for frequent use by marketing and customer service teams, providing powerful features like data unification, segmentation, and analytics. Integration with Salesforce tools and third-party apps is smooth, ensuring a seamless data experience. Overall, Salesforce Data 360 is a robust and user-friendly platform for managing customer data effectively. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? I don't have any suggestions at the moment, but I will share if I have any. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 addresses key challenges in data management and customer engagement, leading to a more cohesive, efficient, and effective approach to understanding and serving customers. Review collected by and hosted on G2.com. Show More 7/16/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Ameer A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ameer A.") AA Ameer A. Salesforce Developer Information Technology and Services Mid-Market (51-1000 emp.) 2/25/2026 "Unified, Real-Time Customer Profiles with Powerful Identity Resolution" 4.5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? What I like best about Salesforce Data 360 (formerly Data Cloud) is 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. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Carlos M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Carlos M.") CM Carlos M. Encargado de IT Enterprise (\> 1000 emp.) 6/3/2026 "Game-Changing Real-Time Customer Data Unification for Personalized Journeys" 4.5/5 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 Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite on behalf of seller ![Drashti P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Drashti P.") DP Drashti P. Summer Internship Program Small-Business (50 or fewer emp.) 5/4/2026 ".Powerful Real-Time Customer Profiles with Seamless Salesforce Integration" 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 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More 5/8/2026 Validated ReviewerIncentivizedSource: Seller invite ![Sheik Abdullah J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Sheik Abdullah J.") SJ Sheik Abdullah J. Salesforce Developer Information Technology and Services Mid-Market (51-1000 emp.) 2/18/2026 "Salesforce Data Cloud Makes Customer Unification and Segmentation Effortless" 5/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ## Pricing Options Pricing provided by Salesforce Data 360.... ### Consumption Credits $500.00 100000 Credits [ View More Pricing Information ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/pricing) Salesforce Data 360 (formerly Data Cloud) Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_205c43a22cc9f5d110bca0feac5ef444/twilio-segment.png "Product Avatar Image") Twilio Segment 4.5/5(567) [ Compare Now ](https://www.g2.com/compare/salesforce-data-360-formerly-data-cloud-vs-twilio-segment) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_c5eaa3c924d805ec84037adc0b148f56/insider-one.png "Product Avatar Image") Insider One 4.8/5(1,415) [ Compare Now ](https://www.g2.com/compare/insider-one-vs-salesforce-data-360-formerly-data-cloud) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_d2f0a0ea98763ba63746cc59f2377be9/dynamics-365-customer-insights.png "Product Avatar Image") Microsoft Dynamics 365 Customer Insights 4/5(19) [ Compare Now ](https://www.g2.com/compare/dynamics-365-customer-insights-vs-salesforce-data-360-formerly-data-cloud) ##### ##### Salesforce Data 360 (formerly Data Cloud) Features Administration Marketing Integrations Data Quality Data Unification Data Sourcing Data Enrichment Expandability Content Marketing Intelligence Marketing Metrics Predictive Modeling Recommendation Engine [ View More Features ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/features) ## 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