--- 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 316 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: 316 scale: '5' date_modified: '2026-08-05' parent_category: name: Marketing url: https://www.g2.com/categories/marketing --- # Salesforce Data 360 (formerly Data Cloud) Reviews **Vendor:** Salesforce **Category:** [Customer Data Platforms (CDP)](https://www.g2.com/categories/customer-data-platform-cdp) **Average Rating:** 4.3/5.0 **Total Reviews:** 316 ## About Salesforce Data 360 (formerly Data Cloud) 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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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. ## Salesforce Data 360 (formerly Data Cloud) Pros & Cons **What users like:** - Users value the **real-time platform integration** of Salesforce Data 360, enhancing data connectivity and decision-making across ecosystems. (79 reviews) - Users value the **ease of use** in Salesforce Data 360, enhancing user experience and simplifying data management. (56 reviews) - Users appreciate the **easy integration** of Salesforce Data 360, streamlining workflows and enhancing data accessibility across teams. (53 reviews) - Users value the **effective data aggregation** of Salesforce Data 360, unifying diverse sources into a real-time customer profile. (39 reviews) - Users value the **seamless integrations** with various platforms, enabling unified customer profiles and enhanced audience targeting. (38 reviews) - Data Integration (36 reviews) - Data Centralization (35 reviews) - Integration Capabilities (34 reviews) - Users appreciate the **easy integrations** of Salesforce Data Cloud, enabling seamless data access and streamlined workflows. (33 reviews) - Data Quality (31 reviews) **What users dislike:** - Users find the **steep learning curve** of Salesforce Data 360 challenging, hindering quick understanding and effective use. (53 reviews) - Users find the **cost burdens** of Salesforce Data 360 to be high due to extensive data integration and usage demands. (44 reviews) - Users experience a **difficult learning** curve with Salesforce Data 360, making setup and usability quite challenging. (37 reviews) - Users find the **implementation complexity** challenging, particularly for novices, affecting overall user experience and adoption. (36 reviews) - Users struggle with the **complex setup** of Salesforce Data 360, facing steep learning curves and extensive training needs. (34 reviews) - Data Management Issues (25 reviews) - Difficult Setup (25 reviews) - Users note a **steep learning curve** with Salesforce Data Cloud, making it challenging for beginners to navigate effectively. (25 reviews) - Complex Implementation (24 reviews) - Setup Difficulty (24 reviews) ## Salesforce Data 360 (formerly Data Cloud) Reviews ### 1. Data360 Zero-Copy connectors : Strong Foundation for a Unified Customer View **Rating:** 4.5/5.0 stars **Reviewed by:** laissaoui b. | Salesforce Architect, Enterprise (> 1000 emp.) **Reviewed Date:** August 02, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Native Salesforce connectors and Zero Copy/BYOL let us link Snowflake, Databricks, Redshift, and BigQuery without duplicating data. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Steep learning curve: the data mapping and Data Stream configuration interface can feel overly complex and a bit hard to navigate for non-experts. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We struggled with fragmented customer data spread across multiple systems (Sales Cloud, Service Cloud, and external data warehouses), which made it difficult to get a unified, real-time view of our customers. With Salesforce Data 360, we didn't need to modify or duplicate the source data at all: instead, the platform creates a relationship model that links records together and stays continuously synchronized with the source systems. Combined with Zero Copy/BYOL to connect directly to our Snowflake data lake, this has resulted in faster segmentation, more consistent customer profiles across teams, and reduced time spent on manual data reconciliation, all while keeping our source data intact and trustworthy. ### 2. The Ultimate Architecture for Zero-Copy Data Harmonization and AI Grounding **Rating:** 4.5/5.0 stars **Reviewed by:** jasjit s. | Technical Lead, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The absolute best feature of Salesforce Data Cloud (Data 360) is the Zero-Copy Data Architecture. Being able to federate data directly from external enterprise data warehouses like Snowflake, Databricks, or BigQuery without physically moving, replicating, or running heavy custom ETL pipelines is an architectural game-changer. It drastically lowers data storage overhead and integration latency. Combined with the Identity Resolution engine, it allows us to reconcile messy, disparate source data into a single, highly reliable 'golden record' profile that updates dynamically **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** While the native integration features within the Salesforce core stack (Sales, Service, Marketing Cloud, Agentforce) are seamless, handling edge-case data integration pipelines with complex, non-Salesforce third-party legacy systems still requires substantial custom configuration. The 'Zero-Copy' data virtualization architecture is amazing for primary data warehouses like Snowflake or BigQuery, but for out-of-the-box native connectors to smaller external business tools, the selection is still somewhat limited compared to long-standing standalone CDPs. This often forces teams back into standard ingestion pathways **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 effectively eliminates the persistent challenge of enterprise data fragmentation by harmonizing siloed structured and unstructured data across disparate systems into a single, unified "golden record" customer profile. By leveraging an advanced Zero-Copy architecture, it eliminates the need for costly, high-maintenance ETL pipelines by virtualizing and querying data in place directly from external warehouses like Snowflake or Databricks. This real-time data ingestion provides immediate, actionable insights across Sales, Service, and Marketing Clouds, enabling hyper-personalized automation and serving as a secure, accurate metadata foundation to ground autonomous AI tools like Agentforce. Ultimately, these capabilities benefit organizations by lowering data engineering overhead, significantly reducing cloud storage costs, improving cross-departmental collaboration, and accelerating time-to-value for enterprise analytics and AI initiatives. ### 3. Unified Customer Profiles and Instant Activation Across Salesforce Apps **Rating:** 4.5/5.0 stars **Reviewed by:** Mamta B. | Teaching assistant for AI focused program at Emory University, Continuing Education, Enterprise (> 1000 emp.) **Reviewed Date:** July 19, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 helped us unify customer profiles and activate that data immediately across Salesforce applications. It strengthened our identity resolution capabilities, enabled zero-copy data access and data federation, and provided a solid foundation for AI-powered insights and experiences. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It took some time to get into at first, but once I did, I was completely engaged. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 has helped us solve the challenge of bringing customer data together from multiple systems into a single, unified view. Instead of working with fragmented or duplicate records, we now have more accurate customer profiles through identity resolution. Its zero-copy and data federation capabilities allow us to leverage data across platforms without unnecessary duplication, improving both efficiency and data governance. By making trusted customer data readily available across Salesforce applications, Data 360 has also strengthened our AI initiatives, enabling more personalized customer experiences, better insights, and faster, data-driven decision-making. ### 4. Unifies Customer Data into Actionable Insights Across Salesforce **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Pablo C. | Agentforce Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** June 26, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 is how it helps unify customer data from different sources and turn it into actionable insights across Salesforce. I especially like that it can support more personalized experiences, better segmentation, and smarter automation by making data more connected, trusted, and usable for business teams. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I dislike about Salesforce Data 360 is that it can feel complex to set up and understand at first, especially when working with data ingestion, identity resolution, permissions, and activation. The platform is very powerful, but the learning curve can be steep, and sometimes the documentation or setup steps could be clearer for new users. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 is helping us solve the challenge of having customer and business data spread across different systems. One of the biggest benefits for me is identity resolution, because it allows us to unify records and create a more complete and trusted customer profile even when the data comes from multiple sources. It is also very useful for creating Calculated Insights that can drive actions both inside Salesforce and outside Salesforce, helping teams automate processes and make better decisions based on unified data. Finally, Data 360 is helping us a lot with data retrieval and vector databases, especially for Agentforce use cases, because it allows agents to have better context and provide more accurate and useful responses. ### 5. Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce Data 360 has become one of the most valuable parts of the Salesforce platform because it helps connect fragmented customer data and turn it into something usable across sales, service, marketing, commerce, analytics, and AI experiences. The biggest value for me is not only that it centralizes data, but that it makes data actionable inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, external databases, data lakes, marketing platforms, service interactions, and legacy systems, Data 360 gives teams a more complete and trusted customer view. From a UI and UX perspective, Data 360 is strong because it follows the Salesforce configuration-oriented experience. The interface for mapping, harmonizing, and activating data is easier to understand than many traditional enterprise data platforms. For business and architecture teams, the value is that we can visualize data streams, identity resolution, calculated insights, segments, and activations without depending only on deeply technical data engineering work. It still requires strong data governance and architecture discipline, but the user experience reduces friction between technical teams and business stakeholders. The integration capabilities are one of the main reasons Data 360 stands out. The ability to connect Salesforce clouds, external systems, data lakes, warehouses, web data, and other enterprise sources creates a practical foundation for Customer 360. I especially value the zero-copy approach because it helps reduce unnecessary data replication and supports more scalable architecture patterns. In real-world projects, this is important because many companies do not want to duplicate large volumes of sensitive or regulated data into Salesforce. Data 360 allows teams to access, harmonize, and activate data while keeping the broader enterprise data strategy intact. Performance is another important benefit. When designed correctly, Data 360 supports near real-time use cases where teams need timely context, such as service agents viewing recent interactions, marketing teams creating smarter audiences, or AI agents using trusted customer data to generate more relevant responses. The performance depends heavily on data model quality, ingestion strategy, identity rules, and activation design, but the platform provides the foundation needed for enterprise-scale personalization and decisioning. From a pricing and ROI perspective, Data 360 needs to be managed carefully because consumption-based pricing can become expensive if teams do not govern ingestion, segmentation, activation, and data usage. However, the ROI can be strong when the platform replaces duplicated integrations, reduces manual data preparation, improves campaign targeting, increases service efficiency, and enables trusted AI. The best value comes when Data 360 is treated as an enterprise data activation layer, not just another Salesforce add-on. Support and onboarding are solid when teams use Salesforce Trailhead, documentation, implementation accelerators, and partner expertise. That said, onboarding should not be underestimated. A successful implementation requires business alignment, data governance, security design, identity strategy, consent management, and a clear activation roadmap. The tool is powerful, but companies need experienced architects and data owners to define the right foundation. The AI and intelligence capabilities are where Data 360 becomes even more strategic. As Agentforce and Salesforce AI capabilities continue to evolve, trusted data becomes essential. AI is only as good as the data it can access, interpret, and act on. Data 360 helps provide that trusted layer by unifying customer context, creating calculated insights, and making enterprise data available for intelligent automation. Overall, Data 360 provides the most value when organizations want to move from disconnected CRM data to a real customer intelligence platform. Its strongest benefits are data unification, enterprise integration, zero-copy architecture, actionable insights, and AI readiness. It is not a simple plug-and-play tool, but when implemented with the right architecture and governance, it can significantly improve workflow efficiency, personalization, analytics, and the quality of AI-driven customer engagement. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Still the calculator is the thing to get more updates to provide better information about credits consumption, otherwise the system is very good **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 solves one of the biggest enterprise problems: fragmented customer data. In many organizations, customer information is spread across CRM, marketing platforms, service systems, websites, data warehouses, external databases, and legacy applications. Data 360 helps bring those sources together into a unified customer profile, making the data easier to understand, govern, segment, and activate across the Salesforce ecosystem. The biggest benefit is that teams can make decisions based on a more complete and trusted view of the customer. For example, service agents can see recent interactions, marketing teams can build more accurate audiences, and sales teams can understand customer behavior beyond standard CRM fields. This reduces manual work, duplicated integrations, and the need to switch between multiple systems. It also supports better personalization and AI readiness. With Data 360, customer data becomes more actionable for automation, analytics, segmentation, and Agentforce use cases. Instead of AI working from incomplete or disconnected information, it can use a more reliable data foundation. Overall, Data 360 benefits me by improving architecture consistency, reducing data silos, supporting real-time customer insights, and helping business teams turn enterprise data into practical actions inside Salesforce. ### 6. Unified, Actionable Customer Profiles Across the Salesforce Ecosystem **Rating:** 5.0/5.0 stars **Reviewed by:** Pablo C. | CRM Solution Designer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **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. **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. **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. ### 7. Integrative Data Unification with Stellar Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Pranit B. | Tableau CRM Developer , Enterprise (> 1000 emp.) **Reviewed Date:** July 16, 2026 **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. **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. **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. ### 8. Strong Customer Data Platform with Real-Time Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Eder S. | Soluções Salesforce, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **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. **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. **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. ### 9. My personal experience with the Salesforce Data 360 **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2024 **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. **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. **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. ### 10. Unified, Real-Time Customer Profiles with Powerful Identity Resolution **Rating:** 4.5/5.0 stars **Reviewed by:** Ameer A. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 25, 2026 **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. **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. **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. ### 11. Game-Changing Real-Time Customer Data Unification for Personalized Journeys **Rating:** 4.5/5.0 stars **Reviewed by:** Carlos M. | Encargado de IT, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **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 **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. **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. ### 12. .Powerful Real-Time Customer Profiles with Seamless Salesforce Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Drashti P. | Summer Internship Program, Small-Business (50 or fewer emp.) **Reviewed Date:** May 04, 2026 **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. **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. **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. ### 13. Salesforce Data Cloud Makes Customer Unification and Segmentation Effortless **Rating:** 5.0/5.0 stars **Reviewed by:** Sheik Abdullah J. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 18, 2026 **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. **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. **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. ### 14. Unification and Integration with Salesforce Data Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** Naman M. | Salesforce Administrator, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 05, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love how Salesforce Data Cloud integrates seamlessly with our marketing, sales, and service clouds, providing a single source of truth. The unification and integration capabilities, especially with its AI features, make data management efficient and insightful, boosting our confidence in customer-related decisions. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The consideration of cost and licenses presents a challenge when thinking about expanding the implementation of Salesforce Data Cloud to another office. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data Cloud to unify scattered customer data from spreadsheets and Zoho CRM, giving us a single source of truth. This integration has built our confidence in decision-making based on centralized data, streamlining workflows and improving customer relationships. ### 15. Transforms Data into Customer Insights Effortlessly **Rating:** 5.0/5.0 stars **Reviewed by:** David M. | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** 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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to capture website data for our agent, consolidate customer data, and achieve a 360-degree customer view. ### 16. Accelerates Personalized, Efficient Member Experiences with Cross-Channel Data Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Doreen B. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The data integration across channels will accelerate our ability to better meet member needs in a more personalized, timely, and efficient manner now and as we further explore agentic marketing capabilities in Salesforce. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Concerned with any default settings allowing a marketing role to delete an account (perhaps accidentally or intentionally). Administrator can turn this potential hazard off, but it would be nice to default to not allow that to happen without deliberate permission or a failsafe in place to recover data insights. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Serving as a central repository to migrate our disparate data silos for a better picture of our information, savings from releasing other platforms and ability to coordinate efforts ### 17. Profile Unification and Zero-Copy Integrations That Deliver **Rating:** 4.5/5.0 stars **Reviewed by:** siddartha D. | System Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 20, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Profile unification, zero-copy integrations, and Agentforce groundwork capabilities. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** There is still room for improvement with data cloud deployments. I encountered few challenges using Data kits. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Faster implementation and simpler UI. Integrating between various systems is made too simpler and usage based pricing is cherry on the cake. ### 18. A Game-Changer for Data Management **Rating:** 4.5/5.0 stars **Reviewed by:** Sri R. | Director Solution Architecture, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One thing is I'm not very certain about the licensing cost. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I find Salesforce Data 360 a game changer for storage, reducing dependency on third-party apps and centralizing data. Its canonical layer reduces duplication, turning messy data from multiple sources into a golden record, which is fantastic. ### 19. Agentic AI Marketing Intelligence That Turns API Analytics Into Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Cathy H. | Chief Marketing Officer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like being able to pull together all the disparate marketing analytics via API and then use marketing intelligence with Agentic AI to generate insights. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It’s not a feature that’s widely shared. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** No more scuba gear. Data 360 brings together multiple sources of performance data—GA, LI, Meta, spreadsheets, and more—into one place. With the new Marketing Intelligence platform, you can use Agentic AI to query that data, or set up your marketing performance analytics in other ways within Data 360 to surface insights. It cuts out hours of diving through dashboards, reports, and spreadsheets just to understand what’s working. ### 20. Data 360 puts the power into marketer’s hands. **Rating:** 4.5/5.0 stars **Reviewed by:** Julie O. | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Segment building is extremely easy for someone without extremely technical skills. It takes a lot of workload off of my dev and allows me to be involved earlier in the process. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It is extremely difficult to clean up dirty data once it’s in Data 360. This is a common issue for many companies across all industries so having an easier way to clean data once it’s been ingested would be great. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Siloed data and walled gardens. It’s been great to unify all data points to get a better picture of the full person we’re marketing to. ### 21. Streamlined Data Unification, Complex Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Kellie S. | Sr Program Mgr, Precision CRM & Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I really like the ability to create audiences easily as a marketer without having to go to the IT department to write SQL. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It is complex, and it would be easier with more agents to help create the audiences because right now, I'm the only one that can do it, and because I know the data best. If we had an agent to help others could use it as well. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 unifies our market data with first-party data, letting me create audiences easily without needing the IT department to write SQL. ### 22. Unifies Customer Data, Simplifies Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** July 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how Salesforce Data 360 integrates seamlessly with Marketing Cloud, as it simplifies handling the large set of data coming in from our systems. I appreciate its ability to unify customer data from multiple sources into a single real-time profile, which connects the data from Sales Cloud and Marketing Cloud while reducing manual intervention. Although the initial setup is a bit complex, the features of Salesforce Data 360 are very interesting. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find the initial configuration should be easier as it's a bit complex. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It simplifies handling large data sets, unifies customer data into real-time profiles, connects data from Sales and Marketing Cloud, reducing manual work. ### 23. Easy to Use with a Smooth Flow from Ingestion to Unification **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2026 **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. **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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** The connections are easy to establish and sync. The way we can control the rules and apply them at scale is great. All the necessary steps to take and follow, from ingestion and transformation to unification, are easy to understand. It’s also straightforward to control the results and check that the information matches what I expect. ### 24. Unify Profiles Seamlessly **Rating:** 5.0/5.0 stars **Reviewed by:** Noor A. | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **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. **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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Unify profiles and provide segmentation access in Marketing Cloud Advanced so campaigns can be created quickly, without the constant back-and-forth across multiple teams. ### 25. Impressive Data Cloud Evolution with Seamless End-to-End Marketing Automation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **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. **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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** No code low code concept for marketers to build the segments and activate, and analyze the insights ### 26. Comprehensive Data Management, but Needs Enhanced Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Rocky N. | Senior Sales Executive, Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2026 **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. **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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 helps by ingesting data from multiple sources, establishing data streams, unifying customer data for real-time insights, and enabling personalization at scale. It assists in connecting, matching, and resolving data with reconciliation rules, empowering us to analyze customers on a unified level. ### 27. Unifies Data Across Platforms Seamlessly **Rating:** 4.5/5.0 stars **Reviewed by:** Kellie S. | CRM Marketing Strategist, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **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. **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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We’re able to match our first-party data with market and consumer data, which adds more detail to our dataset and allows us to use the predictive modeling included in our market (third-party) data. ### 28. Unified Real-Time Profiles and Instant Segmentation Across Salesforce **Rating:** 5.0/5.0 stars **Reviewed by:** Israel G. | Co-Founder, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The unified real-time customer profiles. ingesting data from any source and activating segments instantly across all Salesforce tools. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The pricing and complexity of data credit consumption is opaque and hard to predict, making budget planning difficult especially as data volumes scale. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Eliminating siloed customer data across systems. We now have one unified profile per customer, enabling personalized outreach at scale and reducing wasted marketing spend on outdated or duplicate records. ### 29. Unified Profiles and Clear Organization-Wide Visibility **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Unified profiles and clear visibility into what’s going on across the organization. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** There are still a lot of references in the system to Data Cloud on the backend. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Information and insight across all data sources. ### 30. Highly Functional Data Lake That Unifies Complex, Disconnected Data **Rating:** 5.0/5.0 stars **Reviewed by:** Crystal S. | Digital & Marketing Automation Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It’s a highly functional data lake that brings our clients’ complex, disconnected data together and makes it work. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I don’t like that it requires so much development work to get all the data mapped properly and to build householding. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It’s unifying our data to understand the customer better than ever before while unlocking the ability for us to report on ROI. ### 31. Aggregate Data for Informed Decisions **Rating:** 4.5/5.0 stars **Reviewed by:** Hrushi M. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I think it would be more helpful if I could get more insights from other external systems that are related to the same account. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to view account details and metrics, and it helps me put all the data together, allowing for creative decisions. ### 32. The easiest way to ingest data I have seen in some time **Rating:** 5.0/5.0 stars **Reviewed by:** Jack S. | Managing Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** 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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** - Integrations, particuarly using a connector or zero copy, are far easier, quicker, and require less resources to setup. -Being able to show data from Data Cloud using the Copy Field/Related List has meant that adding new fields and allowing access for advisors has streamlined business processes. - The future of the platform is being built on Data Cloud, and preparing it using connectors and Data Kits has been relatively seamless since the beginning and does not require a mass of resources to get in place. ### 33. A Strategic Enabler for Unified Customer Intelligence and Activation **Rating:** 4.5/5.0 stars **Reviewed by:** Tejas P. | Salesforce Developer, Enterprise (> 1000 emp.) **Reviewed Date:** September 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** 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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud is helping us solve the challenge of fragmented customer data across systems. By centralizing and harmonizing data, we’ve built a reliable Customer 360 view that powers real-time segmentation and activation. This has improved campaign performance, reduced operational silos, and enhanced customer experience. It’s also helping us stay compliant with data privacy regulations through strong governance features. ### 34. Easy Access and Setup, But Duplication Needs Work **Rating:** 5.0/5.0 stars **Reviewed by:** Tanuj M. | Manager, National Collections, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find dealing with duplication a bit frustrating. There could be improvements in how duplicates are managed, specifically making it easier to merge them. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 gives me an overview of a customer journey, helping with everything related to customers. ### 35. Flexibility and Good Integration, But Connections Could Be Improved **Rating:** 5.0/5.0 stars **Reviewed by:** Leydy Yohana V. | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the flexibility of Salesforce Data 360. I also appreciate its integration with other platforms like Marketing Intelligence and Tableau, which significantly enhances the experience. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It wasn't so simple to make the connections. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to create a complete view of customer behavior and solutions for creating segmented and targeted audiences. ### 36. Data Cloud Unified Our Siloed Data for Better Marketing and Reporting **Rating:** 5.0/5.0 stars **Reviewed by:** Suraj dutt C. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** We have lot of data in silos, like in Snowflake CRM and on website. Data cloud helped integrate all the data at one place and unify them. Then we use this data for downstream Marketing cloud and reporting **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Sometimes, there are glitches and snags, like when activating subscriberkey to Marketing cloud. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Unification and downstreaming. ### 37. Unified View of In-App Chat, GenAI, and Crawled Content Data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The data consumption is a bit tricky to navigate in terms of costs associations and detailed breakdowns between Prod and Sandboxes to triage usage. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place. ### 38. Exploring the Potential of Data 360 **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 looks very promising and can really help us unify and activate customer data across systems. All the sessions I attended at Salesforce Connections were very informative and provided great insights into its capabilities and future potential. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** While Data 360 is very promising, some of the concepts and capabilities can feel complex for new users. I would have appreciated more hands-on demonstrations and deeper technical examples to better understand implementation and day-to-day usage. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data 360 eliminates data silos and provides a single source of truth for customer data. ### 39. Powerful Data Activation Platform with Strategic Planning Required for Success **Rating:** 5.0/5.0 stars **Reviewed by:** Pramod P. | Sr Salesforce Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Zero copy data migration is incredibly efficient and seamless. It eliminates the need for manual data movement, saving time and reducing errors during integration **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** 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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud is solving the challenge of fragmented customer data across multiple systems. By unifying data from various sources into a real-time customer graph, it enables a 360-degree view of the customer. This helps us deliver personalized experiences, improve targeting, and automate workflows more effectively. The zero-copy architecture ensures data stays where it is, reducing duplication and improving performance. Overall, it’s helping us make smarter decisions faster and drive better engagement across channels. ### 40. Zero-Code Data Visibility and Easy Marketing Segmentation **Rating:** 5.0/5.0 stars **Reviewed by:** Elizabeth S. | Owner, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Zero code copy ability to see data the ability to create segments for marketing purposes easily. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The biggest drawback is the conception based pricing. If you are a company with a lot of data it can be very costly. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data visibility, easy segmenting, eliminates the need for IT support. ### 41. Salesforce Data Cloud Excels at Unifying Customer Data for Personalized Engagements **Rating:** 5.0/5.0 stars **Reviewed by:** Anubhav C. | Enterprise Data & AI Specialist, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** (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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** (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. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce data cloud offers a robust platform for unifying customer data across channels, enabling real-time insights and personalized experiences. It excels in consolidating disparate data sources into a 360° customer view, which is critical for businesses aiming to leverage AI and automation. However, its complex navigation and occasional integration delays can hinder the user experience, particularly for new users. The platform’s strengths lie in its capabilities and AI integration, but it might require some initial training and regular reviewing of resources to maximize its potential. ### 42. Salesforce Data 360: Easy to Use from Day One **Rating:** 4.5/5.0 stars **Reviewed by:** Brandi B. | Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 is the ease of use. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I have not used Salesforce Data 360 long enough to find anything I dislike. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We are moving from a (very old) CRM that had multiple data sources to Salesforce, so the possibilities seem endless. ### 43. Audi Connect Manager **Rating:** 4.5/5.0 stars **Reviewed by:** Devi N. | Audi Connect Manager , Mid-Market (51-1000 emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It helps us consolidate dealer concerns in one place. At VW Canada, we use Salesforce for both dealer support and customer support, which makes it easier to manage everything in a single system. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It takes quite a bit of training to be able to use the platform to its full potential. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It helps consolidate customer and dealer concerns, which makes it easier to identify trends in what’s working and what isn’t. ### 44. Simple Data Integration, Mapping, and Activation Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Thomas S. | Digital Marketing Leader - Marketing Technology, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The simplicity of being able to integrate and map data, and how easily you can segment and activate it. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The cost model can be unwieldy and escalate quickly if not properly monitored. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Being able to unify various data silos around a single view of the customer. ### 45. Powerful for Large Data Sets, Insights, and Batch Transformations **Rating:** 4.5/5.0 stars **Reviewed by:** Mark B. | Salesforce Solution Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Managing large data sets with calculated insights and batch transformationa **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Doesn’t always live up to the hype of zero-copy; for large transactional volumes that require good amount of filtering it falls flat **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Marketing segmentation with consent though due to internal complexities hasn’t been fully implemented. ### 46. Seamless System Integration for Better Lead Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Lyly F. | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love that we can integrate all the system to get information about lead **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Mmm, maybe some segmentation features require technical knowledge. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I like having all my data in one place, and I’d also like the option to integrate it with WhatsApp. ### 47. Powerful Insights with Data Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** shayan k. | Salesforce Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 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. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** 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 **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** alesforce Data Cloud solves the challenge of scattered customer data across different systems. It unifies all that data into one real-time profile, which helps me build more accurate automations and deliver personalized experiences. It also saves time for agents by giving them quick access to complete customer information and relevant knowledge articles ### 48. Full Salesforce Data Access for Account Engagement Customers **Rating:** 5.0/5.0 stars **Reviewed by:** Yvette M. | CEO, Management Consulting, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability for Account Engagment customers to access and use all SF data **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The UI is a bit too technical for the average marketer to build segments anf data graphs. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data silo -- better data access Plus usable data with unification ### 49. Unified Data Hub with High Transaction Costs **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how unified the data is in Salesforce Data 360, because it makes it easier for us to query and process that data in other systems. I also appreciate how straightforward the initial setup was, especially with the connectors. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The cost is my main issue. It feels expensive per transaction, especially once the multipliers are applied. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to retain user information and make sure all my data stays in the right place. Having everything unified also makes it easy for me to query the data and process it in other systems when I need to. ### 50. Effortless Multi-Source Data Unification for Cleaner Contact Consolidation **Rating:** 5.0/5.0 stars **Reviewed by:** Carrie F. | Marketing Automation Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability to unify data from multiple sources, takes the gas work out of consolidating contact information **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** At this point there's nothing to not like! **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It's giving us the ability to bring all of our data together ## Salesforce Data 360 (formerly Data Cloud) Discussions - [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager) - [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager) - [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses) - [View Salesforce Data 360 (formerly Data Cloud) pricing details and edition comparison](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews?filters%5Bnps_score%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-07+00%3A12%3A59+-0500&secure%5Bsession_id%5D=6b65accd-9daf-47a5-9d90-202698a4b04d&secure%5Btoken%5D=7ad8ba51f3a385ac1affd71051f9bb73f5681397fd6019545e78f8a970e9b6c2&format=llm_user) ## Salesforce Data 360 (formerly Data Cloud) Integrations - [Act!](https://www.g2.com/products/act/reviews) - [ActiveCampaign](https://www.g2.com/products/activecampaign/reviews) - [Act-On](https://www.g2.com/products/act-on/reviews) - [Acumatica](https://www.g2.com/products/acumatica/reviews) - [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) - [Adobe Commerce (formerly Magento Commerce)](https://www.g2.com/products/adobe-commerce-formerly-magento-commerce/reviews) - 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[Amazon Kinesis](https://www.g2.com/products/amazon-web-services-aws-amazon-kinesis/reviews) - [Amazon Marketing Cloud](https://www.g2.com/products/amazon-marketing-cloud/reviews) - [Amazon Marketplace Services](https://www.g2.com/products/amazon-marketplace-services/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews) - [Arduino IDE](https://www.g2.com/products/arduino-ide/reviews) - [AWS Cloud](https://www.g2.com/products/aws-cloud/reviews) - [AWS Cloud Development Kit (AWS CDK)](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Campaign Monitor](https://www.g2.com/products/campaign-monitor/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Epsilon Loyalty](https://www.g2.com/products/epsilon-loyalty/reviews) - [Google Analytics](https://www.g2.com/products/google-analytics/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) - [Microsoft 365](https://www.g2.com/products/microsoft365/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [NetSuite](https://www.g2.com/products/oracle-netsuite/reviews) - [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Pipedrive](https://www.g2.com/products/pipedrive/reviews) - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - [Salesforce B2C Commerce](https://www.g2.com/products/salesforce-b2c-commerce/reviews) - [Salesforce Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Salesforce Marketing Cloud Personalization (formerly Interaction Studio)](https://www.g2.com/products/salesforce-marketing-cloud-personalization-formerly-interaction-studio/reviews) - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) - [Shopify](https://www.g2.com/products/shopify/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Twilio](https://www.g2.com/products/twilio/reviews) - [WebsiteBox](https://www.g2.com/products/websitebox/reviews) - [Workday](https://www.g2.com/products/workday-workday/reviews) - [Zendesk for Customer Service](https://www.g2.com/products/zendesk-for-customer-service/reviews) ## Salesforce Data 360 (formerly Data Cloud) Features **Additional Functionality** - Data Cleansing - Data Extraction - Third-Party Integrations - Data Verification - Information Governance - Data Capture and Transfer - AI Copilot - Customizable Reports - Data Migration - Behavior Analytics - Real-Time Reporting - Interactive queries - Audit Trail - Multiple Data Sources - Document Storage - Access Controls/Permissions - User Management - AI/Machine Learning - Master Data Management - Task Scheduling - Data Import/Export - Monitoring - Customer Database - Audit Management - Reporting/Analytics - Data Visualization - Collaboration Tools - Workflow Management - Full Text Search - Compliance Management - Generative AI - Data Quality Control - Data Connectors - Automatic Backup - Activity Tracking - Activity Dashboard - Data Security - Data Analysis Tools - Data Synchronization - Metadata Management - Dashboard Creation - Visual Analytics - Secure Data Storage - Data Integration - Database Support **Data Integration** - 1st-Party Data Integration - 2nd-Party Data Integration - 3rd-Party Data Integration - Offline Data Integration - Mobile Data Integration - Data Export Tools - Collaboration Tools - Real-Time Data - Ad Network Integration **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Data Sourcing** - Data Enrichment - Expandability - Content Marketing - Multiple Devices - Email Marketing - Multi-Channel Marketing - Real-Time Data **Audiences** - Audience Insights - Influencer Identification - Buyer Personas - Segmentation **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Management** - Hierarchy Management - Reference Data Management - Data Lineage - Metadata Management - Real-Time Data - Workflow Management - Process Management - Catalog Management - Compliance Management - Multi-Channel Management **Agentic AI - Firewall Software** - Autonomous Task Execution - Adaptive Learning - AI/Machine Learning **Agentic AI - Data Management Platform (DMP)** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making - Campaign Planning **Data Analysis & Optimization** - Audience Segmentation - Recommendations - Standard Dashboards - Custom Reports - Campaign Segmentation **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Intelligence** - Marketing Metrics - Predictive Modeling - Recommendation Engine **Data Analysis** - Network Analysis - Dashboards - Visualizations - Advanced Filtering **Security** - Access Control - Roles Management - Compliance Management **Functionality ** - Multi-Domain - Match & Merge - Relationship Mapping - User Interface - Data Mapping **Security** - Data Governance - Data Masking **Additional Functionality** - Engagement Tracking - Contact Management - Customer Journey Mapping - Generative AI - API - A/B Testing - Lead Generation - Data Integration - Customer Activity Tracking - Activity Dashboard - Activity Tracking - Campaign Segmentation - Lead Capture - Contact Database - Campaign Management - Behavior Tracking - Real-Time Analytics - Email Management - Lead Qualification - Reporting & Statistics - Template Management - Alerts/Notifications - Predictive Analytics - Surveys & Feedback - Personalization - Campaign Planning - Third-Party Integrations - Behavioral Analytics - Email Tracking - Campaign Analytics - Customer Segmentation - Multi-Channel Communication - Lead Management - Channel Management - AI Copilot - Audience Targeting - GDPR Compliance - Customer Profiles - Customer Database - Multiple Data Sources - Event Triggered Actions - Tagging - Customizable Templates **Platform** - Data Permissions - User, Role, and Access Management - Performance and Reliability - Enterprise Scalability - Internationalization - Advertising Management - Performance Management - Campaign Management - Data Storage Management - Customer Experience Management **Data Quality** - Data Preparation - Data Distribution - Data Unification **Administration** - Marketing Integrations - Ad Integrations - Data Exporting **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **Additional Functionality** - Contact Database - AI Copilot - Data Migration - Engagement Tracking - Data Visualization - Audience Targeting - Data Capture and Transfer - Competitive Analysis - Generative AI - Reporting/Analytics - Data Synchronization - CRM - Content Library - Data Mapping - Customer Journey Mapping - API - SMS Marketing - Data Recovery - Drip Campaigns - Customer Database - Email Marketing - Data Profiling - Multi-Channel Marketing - Real-Time Analytics - Click Tracking - Behavior Tracking - Real-Time Reporting - Data Transformation - Multi-Campaign - A/B Testing - Campaign Analytics - Data Verification - Data Extraction - Behavioral Analytics - Multiple Data Sources - Reporting & Statistics - ROI Tracking - Predictive Analytics **Additional Functionality** - Reporting/Analytics - Alerts/Notifications - Multiple Data Sources - Data Migration - Third-Party Integrations - Access Controls/Permissions - Monitoring - Data Quality Control - Data Profiling - Collaboration Tools - AI Copilot - Performance Metrics - Role-Based Permissions - Drag & Drop - Data Connectors - Audit Trail - Data Verification - Data Extraction - Deduplication - Visualization - Data Capture and Transfer - Data Import/Export - API - Generative AI - Activity Tracking - Data Visualization - Activity Dashboard - Version Control **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Audience Intelligence Platforms** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making - Third-Party Integrations - Active Directory Integration **Additional Functionality** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics ## Top Salesforce Data 360 (formerly Data Cloud) Alternatives - [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews) - 4.5/5.0 (556 reviews) - [Tealium](https://www.g2.com/products/tealium-2026-07-21/reviews) - 4.3/5.0 (445 reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (399 reviews)