--- title: Data 360 (formerly Salesforce Data Cloud) Reviews meta_title: 'Data 360 (formerly Salesforce Data Cloud) Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 361 reviews by the users' company size, role or industry to find out how Data 360 (formerly Salesforce Data Cloud) works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 361 scale: '5' date_modified: '2026-09-14' parent_category: name: Marketing url: https://www.g2.com/categories/marketing --- # Data 360 (formerly Salesforce 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:** 361 **AI Verified:** At least 10 G2 reviewers have confirmed using this product's AI features and functionality. ## About Data 360 (formerly Salesforce 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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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. ## Data 360 (formerly Salesforce Data Cloud) Pros & Cons Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews. **What users like:** - Users value the **real-time platform integration** of Salesforce Data 360, enhancing personalization and driving smarter decisions. (79 reviews) - Users value the **ease of use** of Salesforce Data Cloud, enjoying time savings and streamlined data access. (56 reviews) - Users value the **easy integration** of Salesforce Data 360, facilitating seamless data unification and enhanced reporting capabilities. (53 reviews) - Users value the **efficient data aggregation** in Salesforce Data 360, enhancing insights and unified customer profiling. (39 reviews) - Users value the **seamless integrations** of Salesforce Data 360, enhancing real-time data access and unified customer profiles. (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 **learning curve steep** for Salesforce Data Cloud, requiring significant support for setup and maintenance. (53 reviews) - Users find Salesforce Data 360 to be **expensive** , facing challenges with unpredictable costs and a steep learning curve. (44 reviews) - Users face a **difficult learning curve** with Salesforce Data 360, finding the setup and terminology quite challenging. (37 reviews) - Users find the **initial setup complex** , facing a steep learning curve and challenges in configuration and data management. (36 reviews) - Users face a **complex setup** , with a steep learning curve that complicates the initial experience and usability. (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) ## Data 360 (formerly Salesforce Data Cloud) Reviews ### 1. 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.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 ### 2. Powerful Multi-Platform Corporate Data Consolidation **Rating:** 4.0/5.0 stars **Reviewed by:** Hyman T. | Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** The ability to bring data from multiple sources into one a single data view, with and without having to move data into SF eco sytems. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I am working with SF Architects to setup Data 360 for multiple initiatives, but the perceived cost may prevent me for using Data 360. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** The ability to access multiple data sources in a single point of reference. ### 3. 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.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** July 20, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Profile unification, zero-copy integrations, and Agentforce groundwork capabilities. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** There is still room for improvement with data cloud deployments. I encountered few challenges using Data kits. **What problems is Data 360 (formerly Salesforce 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. ### 4. 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.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud)?** One thing is I'm not very certain about the licensing cost. **What problems is Data 360 (formerly Salesforce 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. ### 5. Easy to Use and Integrate—Data 360 Boosted Our Performance **Rating:** 5.0/5.0 stars **Reviewed by:** Nicolas B. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It’s very easy to use and also very easy to integrate. We use Data 360 embedded in Agentofrce, and it has allowed us to deliver much better performance by improving Agentofrce’s context. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I think overall it is a very easy to use, and useful product **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** It is providing context to our agentforce implementation. ### 6. 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.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 05, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud)?** It’s not a feature that’s widely shared. **What problems is Data 360 (formerly Salesforce 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. ### 7. Effective Integration, Confusing Initial Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Murilo P. | Head of Development, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through Google using a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from Portuguese using AI. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like the way Salesforce Data 360 integrates data. I work with system development and integration, so I really appreciate how it allows for various modes of data ingestion, activation, and system integration, and the use of connectors that facilitate projects. The ease of bringing specific marketing data from where the business needs it, greatly speeding up the process and avoiding data duplication, is something that highlights this product. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The settings are not very clear. We had some errors in the first projects. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to structure data for marketing campaigns and conversational flows, integrating systems easily through connectors, speeding up the process and avoiding data duplication. ### 8. Amazing Multi-Tenant Connections for Better Data Visibility and Metrics **Rating:** 5.0/5.0 stars **Reviewed by:** Mellissa L. | Senior Manager - IT Solution Delivery - Salesforce, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 11, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** The ability to create connections in a multi-tenant instance is amazing and helps with data visibility and metrics. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Some of the updates that slide us backwards because it doesn't feel as if it's been full tested. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** The ability to see, share, and make informed decisions across our enterprise. ### 9. Data 360 puts the power into marketer’s hands. **Rating:** 4.5/5.0 stars **Reviewed by:** Julie O. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 10. Promising, but Stability and Frequent Changes Still Need Work **Rating:** 3.5/5.0 stars **Reviewed by:** Louise L. | Director, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 09, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** A native way to bring together all relevant data in an organisation. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It still does not feel like a completely stable product, too much change. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** It enables my organisation to bring together data from external sources, create unique entities via identity resolution, and use this data in Salesforce ### 11. Streamlined Data Unification, Complex Setup **Rating:** 4.5/5.0 stars **Reviewed by:** Kellie S. | Sr Program Mgr, Precision CRM & Analytics, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 12. Advanced and Easy-to-Use CDP **Rating:** 4.5/5.0 stars **Reviewed by:** Carlos Dario M. | IT Project Portfolio Manager, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from Spanish; Castilian using AI. **Reviewed Date:** September 12, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It's great that it's a fairly advanced CDP like few in the market and easy to use **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It's not so easy to understand the issue of credits for its use **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** All related to CDP without a doubt ### 13. Unified Customer Data, but Ingestion Setup Needs Engineering Support **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 12, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Unifying customer data across systems in one place gives sales ops much cleaner account views and improves how we support AEs on deals. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Data ingestion setup is technically demanding — ops teams can't self-manage pipelines without data engineering support. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Fragmented customer data across multiple systems makes it hard for sales ops to get a reliable account view — Data 360 consolidates that into a single profile, which improves how we support AEs and keeps our CRM data more accurate. ### 14. Easy, Unified Reporting Across Multiple Systems **Rating:** 4.5/5.0 stars **Reviewed by:** Kelly B. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Ability to bring together data from multiple systems and report on it in one easy place. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The preset Id mapping that is incorrect in transformations **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Multiple systems not all on Salesforce and how best to get a single view of the customer ### 15. Eases Integration, Needs Better Error Handling **Rating:** 4.0/5.0 stars **Reviewed by:** Luis C. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 18, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I find the user interface of Salesforce Data 360 makes it much easier to deal with integrations. It's much easier to use than our old integration tools. Also, the initial setup was very easy. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I would say the error handling. Sometimes the data streams fail, and we don't get a notification. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to clear and organize information before it's passed to our data lake and made available for Tableau. The interfaces are easier to use than older integration tools. ### 16. Unifies Customer Data, Simplifies Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** July 15, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud)?** I find the initial configuration should be easier as it's a bit complex. **What problems is Data 360 (formerly Salesforce 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. ### 17. Seamless Integrations, Challenging Updates **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 09, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like that Data 360 (formerly Salesforce Data Cloud) can seamlessly connect with other data platforms. It's a great feature that stands out to me. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I find it challenging to keep up with the frequent feature updates, which makes it difficult to stay current. I'd like to see more beginner-level content available to help with learning and development. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Data 360 to streamline sales support systems and it connects seamlessly with other data platforms, improving our operational efficiency. ### 18. Boosted Lead Management with Seamless Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Srinivas Y. | Technical Architect, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like the segmentation and integration with other clouds in Salesforce Data 360. We have a lot of lead data, and Salesforce Data 360 helps us automate, classify, and use these leads in Marketing Cloud, which is helping us grow our business. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I wish there were more features for data profiling and that segmentation came with more features. Also, it would be great if the pricing were less. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to refine lead data and automate lead handling, which helps grow our business by pushing clean leads to Marketing Cloud. It solves handling huge data and creates data sets through segmentation, aiding in data classification and integration with other clouds. ### 19. A Powerful Real-Time Data Engine Built into the Salesforce Ecosystem **Rating:** 5.0/5.0 stars **Reviewed by:** Bertha C. | Practice Lead II - Quality Engineering, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It is a real-time data engine and customer data platform built directly into the Salesforce ecosystem **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It contains high costs, difficult initial setup and rigid data models **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** real-time data engine and customer data platform built directly into the Salesforce ecosystem ### 20. Powerful Real-Time Customer 360, but Implementation and Cost Need Careful Planning **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify and activate customer data in real time across the entire Salesforce ecosystem. It brings together data from multiple sources—CRM, external platforms, and transactional systems—into a single, harmonized customer profile. This eliminates data silos and provides a true 360-degree view of the customer, which is incredibly powerful for both decision-making and personalization. What stands out is how quickly this data becomes actionable. Instead of just storing information, Data 360 enables real-time segmentation, automation, and AI-driven insights that can be used instantly across marketing, sales, and service. For me, this means more accurate targeting, better customer experiences, and faster time to value. It also reduces the dependency on complex data pipelines, making it easier to scale data-driven strategies efficiently and confidently. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike about Salesforce Data 360 (formerly Data Cloud) is that, despite its powerful capabilities, it can be complex to implement and manage. Setting up data streams, identity resolution, and data models often requires a strong understanding of both Salesforce architecture and data engineering concepts, which can create a steep learning curve. For teams without dedicated expertise, this can slow adoption and delay value realization. Another challenge is cost. Data Cloud can become expensive as data volume grows, especially when ingesting large datasets or enabling multiple use cases across teams. This makes it important to carefully plan usage and governance. Additionally, while it promises real-time capabilities, achieving true real-time performance can sometimes depend on how well the data pipelines are configured. Overall, while it is a powerful platform, it requires thoughtful planning, expertise, and investment to fully leverage its potential. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 (formerly Data Cloud) solves one of the biggest problems in banking: fragmented customer data spread across multiple systems like core banking, credit cards, loans, and digital channels. This fragmentation makes it difficult to understand customers holistically, leading to inconsistent experiences, missed cross-sell opportunities, and slower decision-making. Data 360 unifies these data sources into a single, real-time customer profile with identity resolution, giving banks a true 360-degree view of each customer. It also enables real-time data activation, meaning insights can immediately trigger personalized actions across channels like mobile apps, email, and contact centers. For a banking client, this translates into more relevant product recommendations (e.g., loans, credit cards), improved fraud detection through better data visibility, and enhanced customer service with faster, context-aware interactions. It also supports regulatory compliance by providing cleaner, more governed data. Overall, it helps banks deliver personalized, secure, and efficient experiences while driving revenue growth and operational efficiency. ### 21. Promising for Data Sharing and Visualization, but Pricing Feels Prohibitive **Rating:** 2.5/5.0 stars **Reviewed by:** Andrew W. | Director, Digital Product Owner, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 08, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It is something that we are considering bringing into our organization to help with overall data sharing and data visualization. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Honestly the costing model is a little prohibitive for us. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Bridging Data across the multiple Salesforce instances across our org. ### 22. Simplifies Data Consolidation, Challenges in Advanced Features **Rating:** 4.0/5.0 stars **Reviewed by:** Preston K. | Senior Instructional Designer, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I use Salesforce Data 360 to consolidate our distributed data and reporting. I like the simplicity of the tool. It was easy to get the very basics set up, which was helpful. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Some of the data modeling and advanced transformation tools can be challenging to get to work well. It was easy to get the very basics set up, but getting the more advanced features configured has been more challenging. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to consolidate our distributed data and understand our business and customers better. ### 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.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** April 06, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud)?** The calculator still needs some improvements so it can provide a more accurate forecast over time for credit consumption. **What problems is Data 360 (formerly Salesforce 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. Consistent Data Management Across Systems Without Moving Data **Rating:** 4.0/5.0 stars **Reviewed by:** Mike R. | CEO & Co-Founder , Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 10, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It lets me manage data consistently across multiple source systems without having to move it. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It can feel complex, depending on the specific use case. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Profile unification and activation for use in Salesforce and Agentforce. ### 25. Unify Profiles Seamlessly **Rating:** 5.0/5.0 stars **Reviewed by:** Noor A. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 26. 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.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 ### 27. Unified, Real-Time Customer Profiles Across Salesforce with Data 360 **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 11, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 unifies customer data from multiple sources and makes trusted, real-time profiles available across the Salesforce platform. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Initial data mapping and configuration can be complex, and the consumption-based pricing model can be difficult to estimate. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps bring customer information from multiple systems together, resolve duplicate identities, and create a more complete customer profile. This gives teams more consistent data for personalization, analytics, automation, and informed decision-making. ### 28. Powerful Data Integration with Room for AI Enhancement **Rating:** 4.0/5.0 stars **Reviewed by:** Sunil T. | Director, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 17, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like the ability to add multiple streams of data using Salesforce Data 360 (formerly Data Cloud). This helps me get a better understanding of the customers by pulling in insights from various sources. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Sometimes the automating feature does not work, so it takes time to manually tag the data. It would be nice to have the data mapping improved using AI. Also, the initial setup was slightly complicated as it had a learning curve for data mapping. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to access and analyze data from multiple sources, giving us a better understanding of customers. ### 29. 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.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like the zero copy feature. It helps me reduce historical data costs. **What do you dislike about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 30. Unifies Data Silos, Enhances Audience Targeting **Rating:** 3.5/5.0 stars **Reviewed by:** Juan V. | Senior Application Analyst, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like that Salesforce Data 360 (formerly Data Cloud) solves the issue of having silos of data, providing a unified platform which makes it easier to capture the correct audience through segmentation. Additionally, setting it up was easy with the help of partners. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Duplications could be improved also implementation costs **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to unify our data, solving silos and making targeting our audience possible. Segmentations help capture the correct audience. ### 31. Unifies Data Across Platforms Seamlessly **Rating:** 4.5/5.0 stars **Reviewed by:** Kellie S. | CRM Marketing Strategist, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 32. 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.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 33. Evolving Tool with Potential, Pricing Needs Clarity **Rating:** 3.5/5.0 stars **Reviewed by:** Chetan A. | Associate Project Manager| Salesforce Consultant, Information Technology and Services, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like that Salesforce Data 360 is operating at a very good speed. It's improved a lot over the last two years. I think this is the next big thing with the Salesforce platform. Without using Salesforce Data 360, staying relevant in the ecosystem would be challenging, as it's very important. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I think it's pricing model. It's a little confusing. It has a lot of variability in that. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 solves our need for a reference system without full master data management, providing insights on profile engagements and ecosystems for a holistic view. ### 34. Useful ZeroCopy to Avoid Data Redundancy, Though There’s Room to Improve **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 13, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** ZeroCopy functionality is very useful to avoid data redundancy and duplicate storage **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Cost hard to predict as is based in consumption so it's very difficult to handle in companies with a high volume of data and multiple applications to integrate **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Is helping us to unify information about the product catalog cross multiple systems ### 35. Salesforce Marketing Specialist **Rating:** 4.0/5.0 stars **Reviewed by:** Jessica A. | Intern , Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Zero Copy is great. So we do not have to worry about coping data from our data warehouse. Data kit makes easier to implement and map everything. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The platform is too slow when it comes to building segments and activating them. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Our marketing team doesn’t need to worry about writing queries anymore, and most of the additional systems we use already have default connectors. ### 36. Unified Profiles and Clear Organization-Wide Visibility **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review. **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Unified profiles and clear visibility into what’s going on across the organization. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** There are still a lot of references in the system to Data Cloud on the backend. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Information and insight across all data sources. ### 37. Streamlines Data Aggregation, Cleaning, and Centralization **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 08, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Helps aggregate and clean our data before we run analytics on it. Allows us to centralize data from multiple sources **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Setting up data streams with outside sites can be challenging, especially for data from our websites. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Cleaning outside data so SF AI and other tools can combine outside data with Salesforce data. ### 38. Great Client and Account Visibility, but Setup Can Feel Cumbersome for New Users **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Professional Training & Coaching | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from English using AI. **Reviewed Date:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It allows a full view of all of our clients and accounts, available to everyone who needs it **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It's a bit cumbersome to set up and can be difficult to work if you're inexperienced **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** It allows our account teams to fully understand what we have and need from clients ### 39. Flexible, Adaptable Solution That Fits Our Legacy Systems **Rating:** 4.0/5.0 stars **Reviewed by:** Crystal S. | Senior Associate, Marketing Automation, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I really like the flexibility. In a legacy org, we have a lot of systems that aren’t aligned with each other, so having something adaptable makes a big difference and helps us work around those gaps. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I enjoy least is the lack of technical documentation, as well as the support team’s limited understanding of best practices. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Identity resolution and duplicate management. ### 40. 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.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 04, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 41. Aggregate Data for Informed Decisions **Rating:** 4.5/5.0 stars **Reviewed by:** Hrushi M. | Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 16, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 42. 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.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 17, 2025 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud)?** The party identification 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 implemented, 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 information. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** - Integrations, particularly 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. ### 43. A Strategic Enabler for Unified Customer Intelligence and Activation **Rating:** 4.5/5.0 stars **Reviewed by:** Tejas P. | Salesforce Developer, Enterprise (> 1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 15, 2025 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 44. Easy Access and Setup, But Duplication Needs Work **Rating:** 5.0/5.0 stars **Reviewed by:** Tanuj M. | Manager, National Collections, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** April 15, 2026 **What do you like best about Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce 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. ### 45. No-Code Segmentation and Einstein-Powered Insights for Faster Data Work **Rating:** 4.0/5.0 stars **Reviewed by:** Ashfhaq S. | Senior Consultant, Consulting, Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review. **Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review. **G2 Icon:** Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise. **Reviewed Date:** April 21, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 offers no‑code segment builders, streaming insights, and Einstein‑powered capabilities—such as Einstein Segment Creation and vector search—that enable business users and analysts to work with data effectively, without relying heavily on data‑engineering support. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Pricing is high.Also configuration is bit complex. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data cloud mainly solving the problem of fragmented, “siloed” customer data by creating a single, real‑time Customer 360 that can be used across Sales, Service, Marketing, and AI workflows—without you having to build and maintain complex custom pipelines. ### 46. Powerful Segmentation and Identity Resolution, but Data Cloud Connector Setup Needs Clarity **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through a business email account added to their profile **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** July 17, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Segmentation Identity resolution Connectors **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Data cloud connectors setup steps , especially for beta less documenttation/ video/ Recive auto reply from saleforce support **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** duplicate records tracking records keep in touch with customer email automation based on segmentations ### 47. Salesforce Data Cloud: A Great Addition for Building Unified Customer 360 Profiles **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Non-Profit Organization Management | Small-Business (50 or fewer emp.) This reviewer's identity has been verified by our review moderation team. They have asked not to show their name, job title, or picture. **Validated Reviewer:** Validated through a business email account **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **AI Translated:** This review has been translated from English using AI. **Reviewed Date:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Salesforce Data Cloud is another great tool to add to your tech stack. It helps create a unified profile for Customer 360. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Overall it’s a great product but data streams can sometimes stop working and investigating takes time **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Very useful for connecting systems together ### 48. Data Cloud: The Best Data Tool for CRM **Rating:** 4.0/5.0 stars **Reviewed by:** Júlio Cezar d. | Especialista em Arquitetura de Solução, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** In my opinion, Data Cloud is the best data tool to use for CRM. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It could be more headless, and the deployment process from sandbox to production feels strange. Also, it doesn’t pick up data stream connections properly. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Identity resolution feels slow and somewhat limited, especially when I’m trying to use it for purposes outside of CRM. ### 49. Excellent at Correlating Data from Multiple Sources in One Place **Rating:** 4.0/5.0 stars **Reviewed by:** Billy S. | Groundworker, Mid-Market (51-1000 emp.) **Validated Reviewer:** Validated through LinkedIn **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 18, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It does a great job of correlating all of our data from various sources and bringing it together in one place. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The setup can be a bit tedious, and it can feel complicated to navigate through everything. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Having all of our data in one place has been very helpful. ### 50. Valuable Single Source of Truth, But Training Is Essential **Rating:** 3.5/5.0 stars **Reviewed by:** Adam D. | Enterprise (> 1000 emp.) **Validated Reviewer:** Validated through a business email account added to their profile **Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review. **Source: G2 invite on behalf of seller:** Invitation from G2 on behalf of a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** June 03, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** We find there is tremendous value in a single source of truth for all of our data. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I find that with lots of training we have been able to move data 360 in the direction we need it to go but the training was essential. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** It gives our team the ability to follow the customer journey ## Data 360 (formerly Salesforce 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 Data 360 (formerly Salesforce Data Cloud) pricing details and edition comparison](https://www.g2.com/products/data-360-formerly-salesforce-data-cloud/reviews?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-09-14+14%3A56%3A49+-0500&secure%5Bsession_id%5D=3e123f22-3ece-44a8-a71f-aad5e7c31cf2&secure%5Btoken%5D=00509a418d7460b0a9f86dacb798258ca431247ce2e49cd010b7c05369740be6&format=llm_user) ## Data 360 (formerly Salesforce 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 Import/Export - Collaboration Tools - Real-Time Data - Ad Network Integration **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations - Configurable Workflow - Rules-Based Workflow **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 - Data Visualization **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 - Deletion Management - Access Controls/Permissions - User Management - Process Management - Audit Management - Metadata 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 Data 360 (formerly Salesforce 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-2026-08-12/reviews) - 4.3/5.0 (443 reviews) - [Hightouch](https://www.g2.com/products/hightouch/reviews) - 4.6/5.0 (405 reviews)