--- 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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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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VK Vedarth K. Salesforce Developer Small-Business (50 or fewer emp.) 8/9/2026 "Salesforce Data 360: Seamless Data Unification with Real-Time Insights" 4.5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? Salesforce Data 360 excels at unifying enterprise data and driving real time intelligence across systems. Integrations: Smooth zero copy data sharing with warehouses like Snowflake and native links across Salesforce applications remove complex data pipeline work. UI / UX: Drag and drop mapping tools let both technical and business teams build segments quickly without writing code. Performance: Rapid processing of large data streams ensures identity resolution and customer profiles update instantly. AI / Intelligence: Built in Einstein AI leverages real time unified data to automate actions and power predictive insights. Pricing / ROI: Strong return on investment by cutting storage overhead, reducing maintenance, and boosting conversion rates. Support / Onboarding: Detailed Trailhead modules and structured guidance help teams deploy and adopt the platform smoothly. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? Documentation and Implementation Guidance: Official documentation can be abstract and difficult to navigate. There is a need for clearer, simpler step by step setup guides, real world reference architectures, and easier implementation cookbooks for admins rather than high level theoretical guides. Pricing Predictability and Credit Consumption: The consumption based credit model can be hard to estimate and track. Unexpected usage spikes during data ingestion or identity resolution processing can make monthly billing and ROI forecasts unpredictable. Steep Learning Curve and Setup Complexity: Getting started takes significant time and technical expertise. Setting up data model objects, identity resolution rules, and calculated insights requires specialized training, often forcing teams to rely on expensive external consultants. Heavy Dependency on Upstream Data Quality: The platform exposes bad legacy data quickly. If duplicate records or messy field mappings exist in connected sources, matching rules will struggle and consume excessive credits trying to resolve bad data. Debugging and Error Reporting Limitations: Troubleshooting failed data transformations or stream ingest errors can be tedious. The diagnostic log details inside the user interface could be much clearer when data syncs fail. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? From a consulting perspective, Data 360 addresses the mess of fragmented customer data across enterprise tech stacks. Most client architectures are a patchwork of separate CRMs, legacy databases, data warehouses, and marketing tools. Connecting them used to mean building custom ETL pipelines, heavy middleware integrations, and manual SQL matching rules that constantly broke, hit API limits, and left teams operating on delayed data. The biggest benefit to my work is how drastically it speeds up delivery and reduces long term overhead. With built in zero copy connectors for platforms like Snowflake and BigQuery, I can connect a client warehouse to Salesforce in days rather than spending weeks coding ingestion pipelines. The native identity resolution engine handles record deduplication out of the box, which frees up my team to focus on business logic rather than writing complex matching scripts. Once data is unified, it activates instantly across Core Salesforce tools like Flows, Apex, and Agentforce. Ultimately, this means clients spend less budget on fixing broken data pipelines and far more time getting real value from their data and AI investments. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite CC Chirag C. Senior Software Engineer Computer Software Mid-Market (51-1000 emp.) 8/7/2026 "Unified, Real-Time Customer Profiles with Powerful Salesforce Integration" 4.5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? What I like most about Salesforce Data 360 (formerly Data Cloud) is how it brings customer data from multiple sources together into a single, real-time customer profile. It also integrates smoothly with Salesforce products like Sales Cloud, Service Cloud, Marketing Cloud, and Agentforce, which helps enable more personalized customer experiences and supports better decision-making. Features such as identity resolution, segmentation, calculated insights, and AI-powered capabilities make it easier to create targeted audiences and automate actions. Overall, the platform feels scalable and secure, and it has significantly improved customer engagement while reducing the amount of manual data processing needed. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The platform is feature-rich, but it can be complex to implement and learn. The initial setup, data modeling, and identity resolution often require experienced resources to get right. Pricing may be high for smaller businesses, and some integrations still need additional configuration before they work smoothly. More guided onboarding, a simpler setup process, and stronger low-code capabilities would improve the overall experience. 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 eliminate data silos by creating a unified customer view across multiple systems. This has improved our customer segmentation, enabled more personalized engagement, increased reporting accuracy, and strengthened cross-team collaboration. With real-time insights and AI-powered capabilities, we can make faster, data-driven decisions while reducing manual effort and improving overall operational efficiency. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite ![Chirag C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Chirag C.") CC Chirag C. Senior Software Engineer Mid-Market (51-1000 emp.) 8/7/2026 "Unifies Customer Data Across Clouds with Powerful Identity Resolution" 4.5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? What stands out most about Salesforce Data 360 is its ability to ingest, harmonize, and unify massive amounts of customer data from disparate sources into a single, real-time source of truth. The identity resolution capabilities make it effortless to consolidate customer interactions across Core CRM, Commerce, and Marketing Cloud. This unified data model drastically simplifies cross-cloud segmentation and powers highly personalized, real-time customer journeys. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The initial setup and data modeling require a steep learning curve. Mapping ingestion schemas to the Customer 360 Data Model and setting up identity resolution rules properly requires dedicated architecture expertise. Additionally, debugging data streams or mapping issues during setup can feel complex and time-consuming. 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 the critical challenge of fragmented customer data scattered across disparate systems. Before, customer interactions were trapped in isolated databases, making cross-channel activation difficult. Now, we can unify real-time streams and static batch data into a single Customer 360 profile. This has significantly reduced segment creation time and eliminated data duplication across marketing and engagement channels. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite ![laissaoui b.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "laissaoui b.") LB laissaoui b. Salesforce Architect Enterprise (\> 1000 emp.) 8/2/2026 "Data360 Zero-Copy connectors : Strong Foundation for a Unified Customer View" 4.5/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite ![jasjit s.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "jasjit s.") JS jasjit s. Technical Lead Information Technology and Services Mid-Market (51-1000 emp.) 10/15/2025 "The Ultimate Architecture for Zero-Copy Data Harmonization and AI Grounding" 4.5/5 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 Review collected by and hosted on G2.com. 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 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 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. 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 Icon 7/19/2026 Current UserValidated ReviewerIncentivizedSource: Seller invite ![Mamta B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mamta B.") MB Mamta B. Teaching assistant for AI focused program at Emory University, Continuing Education Enterprise (\> 1000 emp.) 7/19/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Unified Customer Profiles and Instant Activation Across Salesforce Apps" 4.5/5 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. Review collected by and hosted on G2.com. 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. 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 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. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite ![Juan Pablo C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Juan Pablo C.") JC Juan Pablo C. Agentforce Specialist Small-Business (50 or fewer emp.) 6/26/2026 "Unifies Customer Data into Actionable Insights Across Salesforce" 5/5 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. 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 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. 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 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. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic ![Mauricio Alexandre S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Mauricio Alexandre S.") MS Mauricio Alexandre S. Salesforce Architect Information Technology and Services Mid-Market (51-1000 emp.) 5/19/2026 "Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights" 5/5 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. Review collected by and hosted on G2.com. 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 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 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. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Organic Review from User Profile ![Pablo C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Pablo C.") 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 ## 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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