--- 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 767 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: 4.2 review_count: 767 scale: '5' date_modified: '2026-09-20' 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:** 4.2/5.0 **Total Reviews:** 767 **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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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. Salesforce Data 360: Seamless Data Unification with Real-Time Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Vedarth K. | Salesforce Developer, 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 a business email account **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** August 09, 2026 **What do you like best about Data 360 (formerly Salesforce 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. **What do you dislike about Data 360 (formerly Salesforce 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. **What problems is Data 360 (formerly Salesforce 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. ### 2. Unified, Real-Time Customer Profiles with Powerful Salesforce Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Chirag C. | Senior Software Engineer, Computer Software, Mid-Market (51-1000 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 **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** August 07, 2026 **What do you like best about Data 360 (formerly Salesforce 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. **What do you dislike about Data 360 (formerly Salesforce 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. **What problems is Data 360 (formerly Salesforce 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. ### 3. Unifies Customer Data Across Clouds with Powerful Identity Resolution **Rating:** 4.5/5.0 stars **Reviewed by:** Chirag C. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** August 07, 2026 **What do you like best about Data 360 (formerly Salesforce 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. **What do you dislike about Data 360 (formerly Salesforce 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. **What problems is Data 360 (formerly Salesforce 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. ### 4. Data360 Zero-Copy connectors : Strong Foundation for a Unified Customer View **Rating:** 4.5/5.0 stars **Reviewed by:** laissaoui b. | Salesforce Architect, Enterprise (> 1000 emp.) **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:** August 02, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Native Salesforce connectors and Zero Copy/BYOL let us link Snowflake, Databricks, Redshift, and BigQuery without duplicating data. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Steep learning curve: the data mapping and Data Stream configuration interface can feel overly complex and a bit hard to navigate for non-experts. **What problems is Data 360 (formerly Salesforce 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. ### 5. The Ultimate Architecture for Zero-Copy Data Harmonization and AI Grounding **Rating:** 4.5/5.0 stars **Reviewed by:** jasjit s. | Technical Lead, Information Technology and Services, Mid-Market (51-1000 emp.) **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. **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:** October 15, 2025 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 absolute best feature of Salesforce Data Cloud (Data 360) is the Zero-Copy Data Architecture. Being able to federate data directly from external enterprise data warehouses like Snowflake, Databricks, or BigQuery without physically moving, replicating, or running heavy custom ETL pipelines is an architectural game-changer. It drastically lowers data storage overhead and integration latency. Combined with the Identity Resolution engine, it allows us to reconcile messy, disparate source data into a single, highly reliable 'golden record' profile that updates dynamically **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** While the native integration features within the Salesforce core stack (Sales, Service, Marketing Cloud, Agentforce) are seamless, handling edge-case data integration pipelines with complex, non-Salesforce third-party legacy systems still requires substantial custom configuration. The 'Zero-Copy' data virtualization architecture is amazing for primary data warehouses like Snowflake or BigQuery, but for out-of-the-box native connectors to smaller external business tools, the selection is still somewhat limited compared to long-standing standalone CDPs. This often forces teams back into standard ingestion pathways **What problems is Data 360 (formerly Salesforce 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. ### 6. Easy Setup for Connecting Systems and Activating Unified Data **Rating:** 4.0/5.0 stars **Reviewed by:** Nitin M. | Tech Arch Assoc Manager, 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 19, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Easy to set up connections with multiple external systems, unify data in one place, and quickly segment and activate it across multiple systems. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Too many product issues. First, once fields are created in a datastream, we cannot delete them. Second, the error descriptions are not clear. For example, when trying to remove a field on the DLO, it lists a bunch of things to check (e.g., IR, Segments, Datagraph, etc.), but instead it should show the specific places where the field is actually being used. Third, many times it throws a system error without a proper message, such as: "Unexpected error, contact system administrator." **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Our client is an NGO, and they were struggling to figure out how to send acknowledgements to donors who had donated through various channels, partners, and other sources. Now, with the Data Cloud, we are ingesting data from multiple sources, unifying donor profiles, and sending acknowledgements for each donation. ### 7. Unified Customer Profiles and Instant Activation Across Salesforce Apps **Rating:** 4.5/5.0 stars **Reviewed by:** Mamta B. | Teaching assistant for AI focused program at Emory University, Continuing Education, Enterprise (> 1000 emp.) **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 19, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 helped us unify customer profiles and activate that data immediately across Salesforce applications. It strengthened our identity resolution capabilities, enabled zero-copy data access and data federation, and provided a solid foundation for AI-powered insights and experiences. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It took some time to get into at first, but once I did, I was completely engaged. **What problems is Data 360 (formerly Salesforce 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. ### 8. Efficient Zero-Copy ETL But Deployment Issues Persist **Rating:** 3.5/5.0 stars **Reviewed by:** Tamilchelvan B. | Mid-Market (51-1000 emp.) **Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team **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, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I really like the zero copy ETL feature in Data 360. It allows me to access data from Data 360 and run queries on BigQuery without needing to physically save the data. This makes it so much easier to perform data analyses between Salesforce and our systems on Google Cloud Platform. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The deployment process in Data 360 is a real hassle for me. It's frustrating because I have to deal with scrolling through a list of 200 objects when creating a bundle and selecting objects is a pain, since the search function isn't working properly. This seems to be a known bug that Salesforce is aware of, but it hasn't been fixed for almost a year. Additionally, I've created numerous cases and escalations regarding this issue, yet none have been resolved. This impacts the overall ease of working with Data 360 when it comes to deployments, making it less efficient for my needs. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Data 360 for zero copy ETL, allowing me to move data from Salesforce to GCP for analysis without saving it physically. This simplifies data ingestion and enables seamless analytics. ### 9. Data 360 Unifies Customer Data with Powerful Real-Time Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Deepa G. | Senior Talent Acquisition Specialist, 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:** September 17, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like most about Data 360 is how it brings customer data from multiple sources into a single, unified platform. Having everything in one place gives a more complete view of customer interactions, helps improve overall data accuracy, and makes it easier to deliver more personalized customer experiences. I also appreciate the real-time insights, which support better decision-making and help drive more effective sales and marketing strategies. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike about Data 360 is that it can be complicated to set up and manage, particularly when you’re integrating data from multiple sources. Data mapping and maintaining data quality can take a lot of effort, and the platform may also come with extra costs if you need advanced features. On top of that, there’s a learning curve, so it can take time for users to understand the tool and fully make use of its capabilities. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps address the challenge of managing customer data that’s scattered across different systems. By bringing that information together into a unified customer profile, it improves data accuracy and gives me clearer visibility into customer interactions. For me, this means less time spent on manual data gathering, a better understanding of customer needs, and the ability to make more personalized, well-informed business decisions. ### 10. Data 360 Unifies Customer Data with Seamless Salesforce Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Kalarav C. | 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 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like most is Data 360 ability to unify customer data from multiple sources into a single, trusted view. It makes data easily accessible for analytics, segmentation, and AI-driven insights without requiring extensive data movement. The strong integration with Salesforce helps teams activate data seamlessly across sales, service, marketing, and other business processes. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The initial setup and configuration can be complex, especially when integrating multiple data sources and defining data models. There is a learning curve around identity resolution, data mapping, calculated insights, and governance for new users. For large-scale implementations, managing data volumes, processing times, and overall cost can require careful planning and optimization. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the challenge of fragmented customer data by bringing information from multiple systems into a unified customer profile. It reduces manual data reconciliation and makes trusted, real-time insights more accessible to business and analytics teams. This enables better segmentation, personalization, and AI-driven use cases while improving efficiency and decision-making across teams. ### 11. Unified, Real-Time Data Across Systems with Salesforce Data 360 **Rating:** 4.0/5.0 stars **Reviewed by:** Hima P. | 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: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Salesforce Data 360 is its ability to unify data from multiple sources into a single, trusted view. It makes it easier to connect customer and business data across Salesforce and external systems, reduce data silos, and provide more consistent information to teams. The ability to use unified, real-time data for analytics, personalization, automation, and AI also helps teams make faster, more informed decisions. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike about Data 360 is that implementation and data modeling can be complex, particularly when integrating large volumes of data from multiple external systems. Setting up data ingestion, identity resolution, transformations, and governance can require significant planning and technical expertise. There can also be a learning curve for administrators and users, and managing data quality across multiple sources can require ongoing effort. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 is solving the problem of customer data being fragmented across multiple systems and difficult to use consistently. It brings data from Salesforce and external sources together, helping create a more unified and actionable view of customer information. This benefits us by reducing data silos, improving data accessibility and consistency, and enabling better analytics and personalization. It also provides a stronger data foundation for automation and AI use cases, helping teams make faster, more informed decisions without relying as heavily on manual data consolidation. ### 12. Unified Customer Profiles with Seamless Salesforce Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Vinay b. | Solutions Architect, Management Consulting, 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:** September 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What stands out most about Data 360 is how it unifies data from multiple sources into a single customer profile without heavy custom engineering. The native integration with the rest of the Salesforce platform — especially for teams already working in Apex, Flow, or Experience Cloud — cuts down significantly on the ETL overhead we'd otherwise need custom pipelines for. The real-time identity resolution and segmentation capabilities also make it easier to operationalize data for downstream automation and AI use cases. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The learning curve can be steep, especially around data model mapping and harmonization rules — it takes time to get comfortable with how Data 360 reconciles and deduplicates records across sources. Pricing/licensing can also be a barrier for smaller teams or orgs trying to pilot before committing to a broader rollout. Documentation, while improving, still lags behind the pace of new feature releases, so troubleshooting some of the more advanced configurations (e.g., calculated insights, identity resolution rules) often requires trial and error or support tickets rather than clear self-service guidance. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 is helping us solve the long-standing problem of fragmented customer data living in disconnected systems — CRM, marketing platforms, transactional systems — that previously required custom ETL pipelines and manual reconciliation to bring together. By unifying that data into a single, harmonized profile natively within the Salesforce ecosystem, we're able to reduce the engineering overhead of data integration projects and get to actionable insights faster. ### 13. Data 360 Unifies Customer Data for Better Insights and Personalization **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | 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: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review. **Reviewed Date:** September 16, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to unify data from multiple sources into a single, centralized view. It makes it easier to access reliable customer data, create a complete customer profile, and use that data across Salesforce for better insights, personalization, and automation. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The main thing I dislike is that Data 360 can be complex to set up and manage, especially when integrating multiple data sources. Understanding data models, mappings, and configurations can require significant technical knowledge, and troubleshooting data-related issues can sometimes be time-consuming. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the problem of data being scattered across multiple systems by bringing it together into a unified customer profile. This makes it easier to access consistent and up-to-date information, reduce manual data reconciliation, and support better reporting and automation. From a QA perspective, it also helps provide a more centralized view of data, making it easier to validate data flows and integrations across Salesforce. ### 14. Data 360 Unifies Customer Data for Better Insights Across Salesforce **Rating:** 4.0/5.0 stars **Reviewed by:** Sandeep K. | 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: 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, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to bring customer data from different sources into a unified view. It makes it easier to connect, harmonize, and analyze data within the Salesforce ecosystem, which helps teams get a more complete understanding of customers and use that data across sales, service, marketing, and AI use cases. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The biggest challenge is that Data 360 can be complex to set up and manage, especially when integrating multiple data sources and defining data models and identity resolution rules. It can also require significant technical expertise and planning to get the most value from the platform. Cost and implementation effort can be another consideration for organizations with large data volumes or complex requirements. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the challenge of fragmented customer data across multiple systems by bringing it together into a unified, trusted view. This makes it easier to access relevant customer information, improve data quality, and use insights across Salesforce applications. For me, it reduces the need for manual data reconciliation, improves visibility into customer information, and provides a stronger foundation for analytics, automation, and AI use cases. ### 15. Powerful Unified Data, but Setup Complexity and Costs Need Attention **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Design | 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 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to bring together fragmented data from Salesforce and external systems into a unified, actionable view. The combination of data harmonization, identity resolution, and Zero Copy integration makes it easier to access trusted data without creating complex data pipelines. I also like how this unified data can directly power analytics, automation, personalization, and Agentforce, making the data much more useful for real-time business decisions. (help.salesforce.com) **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The biggest challenge with Data 360 is the complexity of setting it up and managing it effectively. Data modeling, ingestion, identity resolution, and integrations can require significant technical expertise, especially when working with large or diverse data sources. The platform can also take time to understand and configure properly, and costs can become a concern as data volumes and usage grow. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 solves the problem of fragmented customer data spread across Salesforce and external systems. It brings this data together into a unified view, making it easier to access consistent and relevant information without relying on multiple disconnected sources. This helps improve reporting and analytics, enables more personalized customer engagement, and provides trusted data that can power automation and Agentforce use cases. Overall, it reduces the time spent finding and reconciling data and helps teams make faster, better-informed decisions. ### 16. Finance revenue and CRM in one governed layer, once you learn the walls **Rating:** 4.0/5.0 stars **Reviewed by:** Mike M. | 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: 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, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 gave us one governed place to land finance revenue next to CRM data. We pull the finance team's curated monthly revenue model straight from Power BI over the XMLA connector, key it with a batch data transform, map it to a data model object, and build Calculated Insights on top that our board reporting reads every month. The data lake objects are queryable from regular SOQL, so the same numbers feed Apex, Flows, reports, and an Agentforce agent without another copy. Refreshes run on a schedule and can be triggered on demand through the Connect API, which let us tie deck generation to when finance actually closes the month. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The platform walls are not documented where you hit them. A stream-fed data lake object with a composite primary key cannot be mapped to a data model object, and the stream API will not let you demote keys, so the fix is a batch transform into a single-key object that you have to discover on your own. Delegated OAuth on a connector runs as the person who authenticated it, so when that person's access changes the refreshes fail with a 403 and nothing alerts you. External connections are capped by contract, credit consumption is invisible from the API, and the Connect API payload shapes differ between the GET and the POST for the same resource. The MCP tooling is promising but paginates at ten and is unprovisioned for metadata search in our org. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Our board reporting needed finance revenue and CRM pipeline in the same governed place, and before Data 360 that lived in a spreadsheet that someone rebuilt every month. Now the finance team's monthly revenue model lands in Data 360 on a schedule, gets keyed and mapped to a data model object, and Calculated Insights produce the revenue, retention, and concentration numbers our decks and our Agentforce analyst agent read. The same objects are queryable from SOQL, so Apex and reports use identical figures. The benefit is a monthly close-to-deck cycle that runs itself, a single metric dictionary as the record, and no more workbook. ### 17. Facilitated Data Integration, Complex in Implementation **Rating:** 4.0/5.0 stars **Reviewed by:** ian p. | Salesforce architect, 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. **AI Translated:** This review has been translated from Portuguese using AI. **Reviewed Date:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I really like the possibility of using "crazy structures" and integrating Data 360 without needing a developer. It's an easy system for making connections and data mapping. The structure and the possibility of native integrations with other tools make my experience better. Often, I need to structure marketing data quickly, and Data 360 helps me with segmentation and data contribution efficiently. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** I think the SQL part is still very complex, and the SQL Studio could also be better structured. These areas are the main points I see as challenging. Additionally, the initial implementation was complex, and the many changes over the years have affected how I financially plan the costs associated with using the tool. This requires a certain maturity of the systems, as the product is not entirely self-sufficient in data reconciliation, which sometimes complicates the process. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Data 360 to reconcile customer information and available data, solve segmentation complexity, and integrate systems without needing a developer. ### 18. Customer Data in Salesforce **Rating:** 4.0/5.0 stars **Reviewed by:** Shiv S. | 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** its ability to unify customer data from multiple sources into a single, trusted view within the Salesforce ecosystem. It makes it easier to connect data across CRM, marketing, service, and external systems without relying heavily on separate data pipelines or manual data reconciliation. The real-time data capabilities and integration with AI and Agentforce are particularly valuable because they allow teams to turn customer insights into actionable, personalized experiences. It also provides better data visibility and governance, which helps organizations make more informed decisions while maintaining control over their data. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** the initial setup and configuration can be complex, especially when integrating multiple external data sources and defining data models. Data mapping, identity resolution, and governance can require significant technical expertise and ongoing maintenance. The platform can also become expensive as data volumes and usage increase. For smaller teams, the learning curve and overall implementation effort may feel high compared with the immediate value delivered. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the challenge of fragmented customer data by bringing information from Salesforce and external systems into a unified customer profile. This reduces manual data reconciliation, improves data quality, and gives teams a more complete view of customer interactions and business activity. For us, this improves reporting and decision-making, makes customer data more accessible to business and technical teams, and helps create more personalized customer experiences. Its integration with AI and Agentforce also makes it easier to use trusted, real-time data to automate processes and provide more relevant insights and recommendations. ### 19. Strong Customer Data Platform for Cross-Functional Projects **Rating:** 4.0/5.0 stars **Reviewed by:** Zainab K. | Project Manager, Consulting, 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like that Data 360 brings customer data from different sources into a more unified view. From a project delivery perspective, this helps teams work from more consistent information, improves cross-functional alignment, and supports better customer experiences. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The implementation can be complex, especially when multiple data sources, integrations, and stakeholder teams are involved. Upfront planning and clear data requirements are important, and the learning curve can be significant for teams that are new to the platform. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps bring customer data from multiple sources into a more unified view. From a project delivery perspective, this reduces data silos, improves alignment across teams, and gives stakeholders more consistent information to support decisions and customer experiences. ### 20. Cleaner Live Metrics, but Reliability Bugs Can Block Multiple Teams **Rating:** 3.5/5.0 stars **Reviewed by:** Emily G. | 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 (formerly Data Cloud) is the direct connection it gives us to live account metrics. Replacing the Boomi pipeline with a direct Databricks to Data Cloud connection means the data feeding my dashboards and account metrics isn't sitting in a batch pipeline with lag and translation risk between systems. It's a more direct path from source data to something I can actually build on. For my work specifically, that matters because I'm the one accountable for whether the numbers in things like account metrics and pipeline reporting are right. A cleaner, more direct pipeline means fewer hours spent chasing down why a number looks off, and more confidence handing that data off to stakeholders across Lyft Ads, churn alerts, and Tableau Next. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** My biggest frustration with Data 360 (formerly Data Cloud) is that migrating off our old integration pipeline has surfaced real reliability issues rather than solving cleanliness outright. The Calculated Insights timezone bug, where UTC gets read as EDT and skews time-bounded metrics, is a good example: it's exactly the kind of subtle data integrity problem I'm accountable for catching before it hits a dashboard or a stakeholder. With this many stakeholders depending on the same pipeline (Lyft Ads, churn alerts, bidirectional sync, Tableau Next), a bug like that doesn't stay contained. It becomes a blocker across multiple workstreams at once, and I end up debugging platform-level data issues instead of doing the account/pricing work that's actually my job. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 (formerly Data Cloud) solves the problem of getting live account metrics into Salesforce without relying on a slower, older integration pipeline sitting between our data warehouse and Salesforce. By connecting more directly to the underlying data, it cuts out a layer of lag and translation risk. The benefit for me is fewer hours spent chasing down why a number looks off, since the path from source data to what shows up in account metrics and dashboards is shorter and more direct. That matters because I'm accountable for the accuracy of that data across multiple stakeholders, including Lyft Ads, churn alerts, and Tableau Next, so a cleaner pipeline means I can hand off numbers with more confidence instead of re-validating them constantly. ### 21. Unifies Customer Data with Real-Time Customer 360 and Zero-Copy Power **Rating:** 4.0/5.0 stars **Reviewed by:** Stephanie H. | Salesforce Cloud Coach Consultant, 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 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like most is its ability to unify disparate customer data sources into a single, real-time Customer 360 profile. The Zero-Copy feature with data warehouses like Snowflake and BigQuery is a game-changer because it allows querying data without complex ETL pipelines. Additionally, it serves as a strong data foundation to power AI agents across the Salesforce ecosystem. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The platform has a steep learning curve and requires significant architecture planning for identity resolution and data modeling. The consumption-based credit system (Flex Credits) can make costs unpredictable, and debugging failed data ingestion flows or deleting old datasets can be challenging for administrators. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 solves the issue of siloed customer information across disconnected systems by establishing a single source of truth in real time. It enables precise identity resolution, eliminating duplicate records and allowing us to create highly targeted segments. This benefits us by improving campaign personalization, streamlining analytics, and giving our team accurate data to fuel AI automation. ### 22. Powerful platform - plan your implementation carefully **Rating:** 5.0/5.0 stars **Reviewed by:** Kate A. | 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:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It unifies customer data from multiple sources into a single profile, giving cross functional teams the information they need to be successful. Connects natively with other Salesforce products, offering seamless data flows. Reduces the need to source 3rd party solutions to do this heavy lifting, and allowing the system to function as a suite. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It’s understandably complex - but the hidden cost is ensuring you have the right resourcing during implementation to get it right from the start. As your business scales - so does the volume of data, which increases pricing models. Meticulous data management is critical - if it’s not strictly governed, there is a “garbage in, garbage out” vibe that will eliminate any ROI in the investment in it. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Our business has struggled with siloed data collecting in different systems with limited sharing between cross functional teams. Having a 360 view has allowed us to see the full picture across all teams without having to pull from 100 different places. ### 23. Data 360 Transformed Our Customer Data with Identity Resolution and Unified Profiles **Rating:** 4.5/5.0 stars **Reviewed by:** Amritpal S. | Campaign Manager, Computer Software, 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:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** We recently implemented Data 360, and it has completely transformed how we bring our customer data together. The standout features for us so far are the identity resolution and unified customer profiles. Being able to connect fragmented touchpoints across our CRM and web activity into a single, cohesive view without massive manual data wrangling has been incredible. The real-time ingestion and direct integration back into our broader Salesforce ecosystem make activating segments for marketing campaigns faster and far more targeted than anything we could do previously. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** There is a noticeable learning curve when first getting started. Mapping data models and understanding the credits/consumption model can feel overwhelming without dedicated onboarding or guidance. It takes careful upfront architecture to ensure data streams are aligned properly, and the administrative documentation could be slightly more beginner-friendly for teams new to enterprise CDPs. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** We previously dealt with siloed customer information spread across disparate platforms, making it difficult to maintain a reliable single source of truth. Data 360 helps us solve this by unifying disconnected data streams into consolidated customer profiles using automated identity resolution. The primary benefit has been eliminating hours of manual data preparation and drastically speeding up our ability to activate targeted audiences directly into our outreach campaigns. ### 24. Powerful Platform, but Complexity Can Get in the Way of Value **Rating:** 4.5/5.0 stars **Reviewed by:** Gayathri K. | CEO, 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 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best is the ability to bring data from across the organization together and make it actionable inside Salesforce. For nonprofits and associations especially, that creates a huge opportunity to better understand members, donors, and constituents and use that data to drive more personalized engagement, better decisions, and ultimately greater impact. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The value proposition can still feel more complicated than it needs to be. Between consumption-based pricing, implementation complexity, and understanding which use cases truly require Data 360, it can be difficult for organizations to predict cost and clearly articulate ROI. I’d like to see simpler packaging, more predictable pricing, and clearer paths to value, particularly for nonprofits and associations. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps us solve the challenge of fragmented data across multiple systems. It gives us the ability to bring that data together, create a more complete view of our customers, and make it actionable within Salesforce. The biggest benefit is having better data available where people are already working, which improves decision-making, personalization, and creates a stronger foundation for AI. ### 25. Data 360 Delivers a Unified Real-Time View Across Sources and Clouds **Rating:** 5.0/5.0 stars **Reviewed by:** Arockia P. | Technical Business Analyst, 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 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to bring data from multiple sources together and create a unified, real-time view of the customer and business data. It makes it easier to connect Salesforce with external systems, activate data across different clouds, and use trusted data for analytics, automation, and AI. This reduces data silos and helps teams make faster, more informed decisions. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** One challenge with Data 360 is the overall complexity of setup, data modeling, and integration, especially when working with multiple external data sources. Understanding data ingestion, identity resolution, mappings, and usage-based consumption can take time. I would like to see simpler configuration, clearer monitoring and troubleshooting tools, and more transparent cost and usage visibility. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 is helping us combine Salesforce data with data from AWS into a unified platform. This reduces data silos and gives us a more complete view of business and operational information without relying on separate systems. It improves reporting and analytics, makes data easier to access across teams, and helps us use combined Salesforce and AWS data for better automation, insights, and decision-making. ### 26. Data 360 Unifies Customer Data Seamlessly Across Salesforce for Actionable Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Preet B. | Sr Business Analyst, 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 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to unify customer data from multiple systems into a single, trusted customer view. As a Salesforce Business Analyst, having a centralized source of customer, sales, service, and operational data helps eliminate silos and provides greater visibility for both business users and leadership. I also appreciate how closely it integrates with the Salesforce ecosystem. Data can be activated directly within Salesforce applications to support reporting, segmentation, automation, and AI-driven insights, making it easier to turn data into action. Recent enhancements have made the platform even more valuable, including improved data connectivity, simplified CRM data onboarding, stronger identity resolution capabilities, expanded Zero Copy integrations, and AI-powered features that help organizations gain insights faster and create more personalized customer experiences. These ongoing innovations continue to strengthen Data 360 as a core foundation for customer intelligence and AI initiatives. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** While Data 360 is a powerful platform, the biggest challenge is its complexity and learning curve. Concepts such as data modeling, identity resolution, calculated insights, and data governance can be difficult for new administrators and business users to fully understand, especially during initial implementation. The platform also requires significant planning and data quality management to deliver maximum value. Organizations with multiple source systems may need additional effort to standardize data and establish governance processes before they can fully leverage advanced capabilities. Another area for improvement is pricing and scalability. While the platform offers extensive functionality, licensing and data consumption considerations can make it difficult for some organizations to quickly expand usage across the enterprise. That said, Salesforce has made meaningful improvements through recent releases by simplifying CRM data onboarding, expanding integration options, enhancing identity resolution capabilities, and introducing more user-friendly AI and analytics features. These updates have helped reduce some of the complexity, but there is still room to make implementation and administration more accessible for business teams without specialized expertise. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 addresses one of the most common business challenges: customer data scattered across multiple systems. Before implementing a centralized customer data platform, organizations often deal with duplicate records, inconsistent information, and limited visibility into customer interactions across sales, service, marketing, and other functions. By consolidating data into a unified customer view, Data 360 improves data quality, increases reporting accuracy, and supports stronger cross-functional collaboration. As a Salesforce Business Analyst, this gives me more confidence in the data used for decision-making and helps ensure teams are working from a single source of truth instead of multiple disconnected systems. The platform also enables more advanced analytics and AI use cases. With customer data centralized and harmonized, organizations can generate richer insights, build more accurate segmentation, and support more personalized customer engagement strategies. Recent enhancements related to AI, identity resolution, and simplified data integration have further strengthened these capabilities. For me, the biggest benefit is better visibility and more data-driven decision-making. Having trusted, connected data leads to better reporting, more efficient business processes, and a stronger foundation for future AI initiatives, while reducing the time spent reconciling information across systems. ### 27. Data 360 Makes Identity Resolution, Consent, and Activation into Marketing Cloud Engagement Easy **Rating:** 5.0/5.0 stars **Reviewed by:** Tommy S. | Co-Founder | Salesforce Marketing Cloud Architect, 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:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I implement Data 360 for clients as a consultant, mostly in setups where Marketing Cloud Engagement is the activation layer. The biggest win for me is identity resolution. Getting a single unified profile across Contacts, Leads and Individuals is something we used to solve with fragile custom middleware, and now it is configuration. Once the match and reconciliation rules are dialed in, the Unified Individual becomes a genuinely reliable source of truth. The second thing is consent. Being able to model ContactPointEmail and Contact Point Consent properly, and then use that as a base filter in segmentation, means GDPR compliance is built into the data layer instead of being patched together per campaign. That has saved a lot of nervous conversations with clients. Native activation into Marketing Cloud Engagement is also a big plus. No custom sync jobs, no middleware to maintain. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The learning curve is steep, and not only for the usual reasons. The data model has several abstraction layers (data streams, DLOs, DMOs, data graphs) and teams coming from core Salesforce often underestimate how different the thinking is. Budget real ramp-up time. Identity resolution is powerful but unforgiving. A single misconfigured source in a reconciliation rule can quietly break email on the unified profile, and debugging why a profile looks wrong is harder than it should be. Better tooling for tracing how a unified record was assembled would help a lot. Smaller friction points add up too: the 40-character field name limit forces awkward renaming, and some segment filters require exact text matches with little feedback when you get it wrong. Finally, the naming. Data Cloud to Data 360 is the latest in a long line of renames, and documentation and community content lag behind every time. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Most of my clients have the same underlying problem: customer data is scattered across Salesforce core, Marketing Cloud Engagement, web and various operational systems, and nobody can say with confidence which email address or consent status is the correct one. That makes personalization risky and compliance work manual. Data 360 solves that by giving us one harmonized profile and one place where consent actually lives. Concretely, it means marketing can build segments on trustworthy data instead of exporting lists and reconciling them by hand, and it means a customer who opts out is excluded everywhere rather than in whichever system happened to be updated. For me as a consultant the benefit is that projects that used to require custom integration work are now mostly configuration and modeling. That shortens delivery time significantly and leaves the client with something they can maintain themselves instead of a black box only we understand. ### 28. Best Way to Unify Customer Records Without Losing Data **Rating:** 4.0/5.0 stars **Reviewed by:** Rodrigo Daniel G. | Solution Architect, Consulting, Mid-Market (51-1000 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:** September 13, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** It’s the best way I’ve found to unify customer records without losing data. It handles whatever sources you connect to it, can work with zero copy, and it’s been improving month after month. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It’s not very user-friendly. The first few times you use it, it’s easy to do things wrong, and mistakes on this platform can cost you a lot. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data Cloud helps us with the heavy lifting of connecting multiple sources that each have entirely different data sets or data models, and then delivering a single, unified view of our customers. Once that unification process is in place, segmentation becomes much easier. From there, we can use it alongside other Salesforce platforms to enable better WhatsApp integrations by building UCP. We can also use Data Cloud audiences to do what Marketing Cloud engagement and advertising audiences could do before, and more broadly to support the same kinds of audience use cases it’s capable of. It can bring information into Data Cloud and also send information out to other places. That makes it not only a data management platform, but also an activator. ### 29. Data 360 Delivers a Secure, Unified Data Layer for Knowledge RAG **Rating:** 4.5/5.0 stars **Reviewed by:** I. Lorena V. | Scientific Writer & Scientific Editor (Independent Contractor), 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:** September 13, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** As a strategist who recently built an award-winning autonomous AI agent for healthcare compliance (the MediComm Regulatory Auditor), what I value most about Data 360 is its foundational capability to harmonize structured and unstructured data. It provides the secure, unified data layer required to implement Knowledge RAG effectively, ensuring our AI models have access to grounded, accurate regulatory guidelines without the risk of hallucinations **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Because it is the foundational data engine for enterprise AI, the complexity of initial data ingestion and mapping can be a significant hurdle. Connecting disparate legacy systems and defining the rules for data harmonization requires dedicated data architects and a deep understanding of your organization's data governance. It is a powerful engine, but it is not a lightweight integration **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 solves the critical challenge of data fragmentation when building autonomous AI agents for healthcare compliance. By providing a unified and secure data foundation, it enabled the successful integration of Knowledge RAG for the 'MediComm Regulatory Auditor' project. This effectively prevented AI hallucinations and ensured strict adherence to COFEPRIS guidelines. The primary benefit is the ability to confidently execute logic flows for data persistence within the CRM, while safely managing escalation protocols to human specialists. ### 30. Powerful Unified Customer Data in Salesforce, but Setup Has a Learning Curve **Rating:** 3.5/5.0 stars **Reviewed by:** Matthew L. | 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like most about Data 360 is the ability to bring customer data from multiple sources together into a more unified view. It makes it easier to understand customer behavior, create meaningful audience segments, and activate that data across Salesforce. The integration with the broader Salesforce ecosystem is especially valuable. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The biggest challenge is the learning curve and complexity of the initial setup. Connecting data sources, defining data models, and understanding how everything works together can take time and often requires technical expertise. Once configured properly, though, the platform becomes much easier to use. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps us bring customer information from multiple sources into a more unified view. This reduces data silos and makes it easier to understand customer activity, segment audiences, and use consistent data across sales and marketing. The biggest benefit is having more reliable, connected data available for better targeting, personalization, reporting, and decision-making. ### 31. Unifies Customer Data Across Salesforce for Easier Activation **Rating:** 5.0/5.0 stars **Reviewed by:** 一希 . | 課長, 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 12, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to unify customer data from multiple sources and make that data directly usable across Salesforce. It helps create a more complete customer view without requiring every source system to be redesigned, and the integration with CRM, analytics, automation, and Agentforce makes activation much easier. I especially like that data can move beyond reporting and be used directly in business processes and customer engagement. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike most is the complexity of designing and operating Data 360 effectively. Data ingestion, identity resolution, data modeling, and activation all require careful architecture, and it can be difficult for teams to understand the overall design at first. Cost and consumption management can also be challenging, especially as data volumes and use cases grow. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the problem of customer data being fragmented across multiple systems and data sources. By unifying and harmonizing that data, it provides a more complete customer view that can be used across CRM, analytics, automation, and Agentforce. This reduces the effort required to move and prepare data for each use case, enables more timely and personalized engagement, and helps teams make better decisions based on consistent customer information. ### 32. Unifies Customer Data into Actionable Insights Across Salesforce **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Pablo C. | Agentforce Specialist, Small-Business (50 or fewer emp.) **Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user. **Validated Reviewer:** Validated through LinkedIn **Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate. **Reviewed Date:** June 26, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Salesforce Data 360 is how it helps unify customer data from different sources and turn it into actionable insights across Salesforce. I especially like that it can support more personalized experiences, better segmentation, and smarter automation by making data more connected, trusted, and usable for business teams. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike about Salesforce Data 360 is that it can feel complex to set up and understand at first, especially when working with data ingestion, identity resolution, permissions, and activation. The platform is very powerful, but the learning curve can be steep, and sometimes the documentation or setup steps could be clearer for new users. **What problems is Data 360 (formerly Salesforce 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. ### 33. Data 360: Powerful Enterprise Intelligence Layer for a True Customer 360 **Rating:** 5.0/5.0 stars **Reviewed by:** Maham H. | Salesforce Solutions Architect, 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: 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)?** What I like most about Data 360 is that it addresses one of the most persistent problems I’ve encountered in Salesforce architecture: everyone wants a 360-degree view of the customer, but the data rarely lives in one place. I’ve worked with environments where different Salesforce orgs and external systems each hold a piece of the customer journey. What I find particularly powerful about Data 360 is the ability to connect those pieces without forcing the entire enterprise to consolidate onto a single system. As an architect, I also like that it goes beyond data consolidation. Once data is unified, I can think about how to activate it—feeding it into Sales, Service, Agentforce, Marketing, analytics, or downstream processes. That makes Data 360 feel less like another data platform and more like an intelligence layer connecting the enterprise to the Salesforce ecosystem. That shift—from simply integrating data to making it contextual, actionable, and available at the point of decision—is what makes Data 360 particularly interesting to me. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I find most challenging about Data 360 is that the promise of a unified customer view can be much easier than achieving it in a real enterprise environment. In the multi-org and integration architectures I’ve worked with, the complexity often sits upstream—data quality, identity resolution, conflicting customer identifiers, inconsistent data models, and real-time vs. batch requirements. Data 360 can bring the data together, but it doesn’t eliminate those underlying architecture problems; in some cases, it makes them more visible. I also find the platform can have a steep learning curve. Understanding ingestion, data modeling, identity resolution, calculated insights, activation, governance, and consumption patterns requires a fairly broad skill set. I’d like to see more simplicity around end-to-end lineage, troubleshooting, cost/consumption visibility, and managing complex multi-org implementations. For me, the biggest opportunity is making Data 360 easier to operate at enterprise scale without requiring architects and data teams to understand so many underlying platform concepts. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** For me, Data 360 is solving a problem I’ve encountered repeatedly in enterprise Salesforce architecture: customer data is fragmented across Salesforce orgs, legacy systems, data warehouses, and external applications, while the business still expects a single, trusted view of the customer. The value is that I can connect and harmonize those different data sources without requiring the entire enterprise to move onto Salesforce. Identity resolution and a common data model help turn fragmented records into a more meaningful customer profile, while real-time data and activation make that information usable by Sales, Service, Marketing, Agentforce, and other channels. The biggest benefit for me as an architect is that it changes the conversation from “How do we integrate these systems?” to “What can we do with the unified data?”. It gives me a foundation for building more contextual experiences, better segmentation and insights, and AI-driven use cases while reducing the need to replicate customer data across multiple systems. ### 34. Unified Real-Time Customer Profiles with Zero-Copy Access—Powerful, Yet Similar Pros and Cons **Rating:** 3.5/5.0 stars **Reviewed by:** Elana Z. | Senior Customer Experience SFDC Admin, 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 10, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is how it unifies customer data from sales, service, marketing, commerce, and external sources into a single, real-time profile that’s natively accessible across the Salesforce ecosystem. This gives me reliable identity resolution, zero-copy access to data warehouses (like Snowflake/Databricks), and drag-and-drop segmentation so I can activate personalized, AI-driven experiences without building complex ETL pipelines **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is how it unifies customer data from sales, service, marketing, commerce, and external sources into a single, real-time profile that’s natively accessible across the Salesforce ecosystem. This gives me reliable identity resolution, zero-copy access to data warehouses (like Snowflake/Databricks), and drag-and-drop segmentation so I can activate personalized, AI-driven experiences without building complex ETL pipelines **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 solves the problem of fragmented customer data by unifying records from Sales, Service, Marketing, Commerce, and external systems (like data warehouses) into a single, real-time customer profile with reliable identity resolution. This benefits me by enabling real-time segmentation and activation across Salesforce clouds, powering personalized campaigns and AI-driven experiences, and giving every team a trusted, 360-degree view of the customer so decisions are faster and interactions are consistent. ### 35. Good for bringing customer data together, but setup takes time **Rating:** 4.0/5.0 stars **Reviewed by:** Sadahiro S. | Principal Evangelist, 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 09, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** The most helpful point is that we can see customer data from different systems in one place. Before, each team looked at a different source, so the same customer sometimes looked different depending on the system. Data 360 helps us connect those sources and use a more consistent view inside Salesforce. For our team, this is useful when we need to check history, contact information, or recent activity without opening many tools. After the basic connection started working, daily checking became easier than before. 日本語対訳 **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** To be honest, the first setup is not simple. We need to think carefully about data sources, matching rules, and how the unified profile should look. If this part is not clear, the result can be confusing. There are many settings, and people who only used standard Salesforce objects need extra time. Documents exist, but some parts are still hard to follow when we try a real use case. It is not a blocker after the design is decided, but implementation and internal explanation take more effort than we first expected. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** The main problem was that customer data lived in different systems. Sales, service, and other teams did not always see the same information, so we needed extra time to check which record was correct. It was also easy to miss recent activity because the history was not in one place. Data 360 helps us bring those sources together and look at a more consistent customer view in Salesforce. We can check contact details and past activity without opening many tools. For our team, this reduced repeated confirmation work and made daily conversations about the customer clearer. Setup still takes time, but after the data connection started working, we spend less time asking “which system is right?” ### 36. Data 360 Unifies Our Tech Stack with Zero Copy Customer 360 in Salesforce **Rating:** 5.0/5.0 stars **Reviewed by:** Brooke D. | Salesforce Administrator & BI 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:** September 08, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 seamlessly brings together disparate data from across our entire tech stack into a single, standardized Customer 360 profile, helping break down legacy silos without requiring complex, manual ETL work. Its Zero Copy architecture allows us to access and analyze our external data warehouse, Snowflake, directly within Salesforce. As a result, we avoid data duplication, reduce storage costs, and keep our data pipelines lightweight and easier to manage. With both structured and unstructured data fully integrated inside Data 360, we get immediate contextual grounding for Agentforce and automated workflows, which supports more precise and reliable AI-driven customer interactions. Overall, it strengthens the data feeding into our Agentforce Service and Coworker processes. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Configuring Data Spaces, identity resolution rules, and data model objects (DMOs) often requires significant specialized expertise. Administering and maintaining these mapping structures can also be more time-consuming than working with traditional core Salesforce objects. The consumption-based credit model may make quarterly and annual forecasting less predictable, since heavy data ingestion, frequent identity resolution runs, or complex calculated insights can burn through credits much faster than initially expected. Troubleshooting issues across data ingestion pipelines, identity resolution, or flow integrations can be difficult as well. Error messages and audit logs are sometimes opaque, so pinpointing the root cause of sync failures can become a labor-intensive process. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Siloed Data Across Systems Problem: Customer data was fragmented across separate platforms, which led to incomplete customer records and duplicated effort across teams. Benefit: Unifies cross-platform data into a single source of truth within Salesforce, giving teams immediate visibility into complete, up-to-date customer profiles. Slow, Resource-Heavy Integrations Problem: Moving data between warehouses and the CRM required custom ETL pipelines that were slow to build, brittle to change, and time-consuming to maintain. Benefit: Zero Copy architecture and direct data connectors reduce heavy data replication, saving engineering hours and lowering ongoing storage overhead. Inaccurate or Un-grounded AI Responses Problem: AI agents and subagents can hallucinate or miss key context when they can’t securely access real-time enterprise data. Benefit: Grounds Agentforce and automated flows in unified, real-time context, enabling more reliable service automation and more personalized customer interactions. ### 37. Data 360 Unifies Customer Data Across Sources for Better Analytics **Rating:** 3.5/5.0 stars **Reviewed by:** Shreya u. | Salesforce Developer, 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to bring data from multiple sources together and create a more unified view of customers. It helps connect and harmonize data across systems, making it easier to access consistent information and use it for analytics, segmentation, and personalization. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to bring data from multiple sources together and create a more unified view of customers. It helps connect and harmonize data across systems, making it easier to access consistent information and use it for analytics, segmentation, and personalization. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** What I like best about Data 360 is its ability to bring data from multiple sources together and create a more unified view of customers. It helps connect and harmonize data across systems, making it easier to access consistent information and use it for analytics, segmentation, and personalization. ### 38. Powerful Data Unification, But Implementation and Pricing Need Careful Planning **Rating:** 3.5/5.0 stars **Reviewed by:** Nakamoto K. | システムエンジニア, 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:** September 12, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 enables us to unify customer data from multiple systems and channels into a single customer profile. Its seamless integration with Salesforce products such as Service Cloud and Agentforce allows us to leverage customer insights in real time, improving personalization, operational efficiency, and customer engagement. The ability to activate unified data across different business processes is particularly valuable. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** While Data 360 provides powerful data unification capabilities, implementation and data modeling can be complex, especially when integrating multiple data sources. Organizations need to invest time in data governance, data quality management, and architecture design to maximize value. In addition, licensing and consumption-based pricing should be carefully evaluated to ensure a positive return on investment. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps us consolidate customer data from multiple channels, giving agents a unified view of the customer. This improves service quality, reduces handling time, and enables more personalized customer interactions. ### 39. Familiar Interface, but Complicated Deployment **Rating:** 3.0/5.0 stars **Reviewed by:** Lilas L. | Technical Lead, 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. **AI Translated:** This review has been translated from French using AI. **Reviewed Date:** September 14, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I love the Data 360 interface because it resembles Salesforce, which makes it familiar to me. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Deploying the data kits is a real headache; I've tried and nothing works properly. Each error forces you to delete everything and start over, which is really not normal. The documentation also needs improvement, as it doesn't clearly describe what the data cloud is. And the initial setup was horrible; having to perform actions manually because metadata never updates even when trying all possible deployment systems was frustrating. I think it's absolutely necessary to work on the documentation related to DevOps or otherwise to ensure that even manual tasks are not necessary. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** I use Data 360 to unify the view of competitors, ensuring a standardized view when clients and systems allow. ### 40. Unifies Customer Data into Actionable Profiles with Seamless Salesforce Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Alexander R. | Operations, 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 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to unify customer data from multiple systems into a single, actionable profile. Its native Salesforce integration makes that data immediately useful for segmentation, personalization, analytics, and automated customer journeys without requiring extensive manual data preparation. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike most is the complexity of implementation and ongoing data management. Configuring integrations, identity resolution, data models, and governance requires specialized expertise, and consumption-based pricing can be difficult to predict. Troubleshooting data quality and activation issues can also be time-consuming. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve fragmented customer data across multiple systems by creating unified, actionable customer profiles. This gives us a more complete view of each customer, improves audience segmentation and personalization, and makes trusted data available across sales, service, and marketing. The result is faster decision-making, more relevant customer experiences, and less manual data preparation. ### 41. Enterprise Data Lakehouse Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Obidjon K. | Salesforce Engineer - Einstein Product Research & Development, 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 09, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Data 360 supports a huge number of external systems through standard connectors or a powerful Ingestion API. It has built-in low-code data processing capabilities that help process data within the platform without coding knowledge. Enables a single view of customers or users by linking any data through identity logic, which is standard or custom. Provides great connection with BI and Marketing Tools. Supports creating vector databases for RAG requirements from structured or unstructured data. Also has a zero-copy protocol, which enables data processing without ingestion. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** It lacks pro-code capabilities, which would make it easier to support more complex data and AI use cases. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** We primarily use Data 360 to get all data that is stored outside of the Salesforce Platform. We also created a couple of RAGs which linked to an AI Agent within Slack, which powers our Company Brain and Enterprise Knowledge Agents. ### 42. Versatile Integration Tool, Slightly Pricey **Rating:** 5.0/5.0 stars **Reviewed by:** Ankita D. | 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 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I love how Data 360 allows us to gather more information easily, helping our agents provide the best answers. I enjoy the 'plug and play' feature, which doesn't require much development experience. Everything being in one place is really useful for getting information from different sources. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The main issue with Data 360 is its price; it seems a bit costly, which makes some customers hesitant to adopt it. Besides the cost, there's nothing much feature-wise to point out. Also, setting it up can be tricky when dealing with different systems like AWS, especially due to firewall issues. It can be really hard to collaborate with the team to figure out which region works best, making the process challenging. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps us pull information from multiple systems without extensive integration work, saving time and easing collaboration. ### 43. Unified Customer View with Strong Data Governance and Secure Personalization **Rating:** 4.0/5.0 stars **Reviewed by:** Gabriel F. | 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 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** The unified customer view across all data sources—enabling better segmentation and personalization. The ability to consolidate data from multiple systems without duplicating information in Salesforce. Strong data governance and compliance features for managing sensitive customer data securely. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Complex implementation and data modeling requires specialized skills and significant upfront investment. High licensing costs limit adoption in many organizations. Data integration from disparate sources can be time-consuming and error-prone. The platform has a steep learning curve, and ongoing data quality maintenance demands considerable effort. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Breaks down data silos by unifying customer data from multiple sources into a single, trusted view. Enables better data governance and compliance across the organization. Provides the foundation for advanced analytics and AI-driven personalization. For administration, it centralizes data management, reduces redundancy, improves data quality control, and ensures consistent customer information across all platforms. ### 44. Data 360 Unifies Customer Data in Salesforce for Better Reporting and Decisions **Rating:** 5.0/5.0 stars **Reviewed by:** BRITTANY N. | Information Technology System Analyst, 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** I like that Data 360 brings data from multiple sources together in Salesforce, giving users a more complete and consistent view of customer information. It reduces the need to look across multiple systems and makes the data more useful for reporting, segmentation, and day-to-day decision making. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The initial setup and configuration can be complex, especially when working with multiple data sources and mapping requirements. There is also a learning curve for administrators, and troubleshooting data ingestion or identity resolution issues can sometimes be time-consuming. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the challenge of having customer data spread across multiple systems by bringing it together into a unified view. This improves data consistency and gives our teams easier access to reliable customer information, which supports better reporting, segmentation, and decision-making while reducing manual data work. ### 45. Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Information Technology and Services, Mid-Market (51-1000 emp.) **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 **Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** May 19, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** Salesforce Data 360 has become one of the most valuable parts of the Salesforce platform because it helps connect fragmented customer data and turn it into something usable across sales, service, marketing, commerce, analytics, and AI experiences. The biggest value for me is not only that it centralizes data, but that it makes data actionable inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, external databases, data lakes, marketing platforms, service interactions, and legacy systems, Data 360 gives teams a more complete and trusted customer view. From a UI and UX perspective, Data 360 is strong because it follows the Salesforce configuration-oriented experience. The interface for mapping, harmonizing, and activating data is easier to understand than many traditional enterprise data platforms. For business and architecture teams, the value is that we can visualize data streams, identity resolution, calculated insights, segments, and activations without depending only on deeply technical data engineering work. It still requires strong data governance and architecture discipline, but the user experience reduces friction between technical teams and business stakeholders. The integration capabilities are one of the main reasons Data 360 stands out. The ability to connect Salesforce clouds, external systems, data lakes, warehouses, web data, and other enterprise sources creates a practical foundation for Customer 360. I especially value the zero-copy approach because it helps reduce unnecessary data replication and supports more scalable architecture patterns. In real-world projects, this is important because many companies do not want to duplicate large volumes of sensitive or regulated data into Salesforce. Data 360 allows teams to access, harmonize, and activate data while keeping the broader enterprise data strategy intact. Performance is another important benefit. When designed correctly, Data 360 supports near real-time use cases where teams need timely context, such as service agents viewing recent interactions, marketing teams creating smarter audiences, or AI agents using trusted customer data to generate more relevant responses. The performance depends heavily on data model quality, ingestion strategy, identity rules, and activation design, but the platform provides the foundation needed for enterprise-scale personalization and decisioning. From a pricing and ROI perspective, Data 360 needs to be managed carefully because consumption-based pricing can become expensive if teams do not govern ingestion, segmentation, activation, and data usage. However, the ROI can be strong when the platform replaces duplicated integrations, reduces manual data preparation, improves campaign targeting, increases service efficiency, and enables trusted AI. The best value comes when Data 360 is treated as an enterprise data activation layer, not just another Salesforce add-on. Support and onboarding are solid when teams use Salesforce Trailhead, documentation, implementation accelerators, and partner expertise. That said, onboarding should not be underestimated. A successful implementation requires business alignment, data governance, security design, identity strategy, consent management, and a clear activation roadmap. The tool is powerful, but companies need experienced architects and data owners to define the right foundation. The AI and intelligence capabilities are where Data 360 becomes even more strategic. As Agentforce and Salesforce AI capabilities continue to evolve, trusted data becomes essential. AI is only as good as the data it can access, interpret, and act on. Data 360 helps provide that trusted layer by unifying customer context, creating calculated insights, and making enterprise data available for intelligent automation. Overall, Data 360 provides the most value when organizations want to move from disconnected CRM data to a real customer intelligence platform. Its strongest benefits are data unification, enterprise integration, zero-copy architecture, actionable insights, and AI readiness. It is not a simple plug-and-play tool, but when implemented with the right architecture and governance, it can significantly improve workflow efficiency, personalization, analytics, and the quality of AI-driven customer engagement. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Still the calculator is the thing to get more updates to provide better information about credits consumption, otherwise the system is very good **What problems is Data 360 (formerly Salesforce 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. ### 46. Data Cloud Makes External Data Actionable with Unified Customer Profiles **Rating:** 4.0/5.0 stars **Reviewed by:** Vishal S. | Directo of Data and AI, Information Technology and Services, Small-Business (50 or fewer emp.) **Validated Reviewer:** Validated through Google One Tap using a business email account **Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review. **Reviewed Date:** August 02, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What stands out most is how Data Cloud lets you unify data from outside the core Salesforce ecosystem and immediately make it actionable. On one engagement, we built an ingestion pipeline bringing Campaign Monitor engagement data into Data Cloud, then extended a Calculated Insight to incorporate that engagement data using email-based identity resolution — so email opens and clicks from a separate marketing platform become part of the same unified customer view as CRM and other source data, without needing custom integration code to reconcile identities across systems. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** The credit consumption model, while powerful once you understand it, isn't always transparent upfront — mapping a given API call, segmentation run, or activation to its actual credit cost isn't obvious from the documentation alone, and the rate card is usage-type-level rather than granular enough to predict cost for a specific integration pattern before you're already running it in production. Getting a clear, contract-specific answer sometimes means going through an account executive rather than being able to self-serve the answer. Support responsiveness on complex, non-standard issues can also be slow — we had a multi-week case around an account-enrichment agent's behavior that required sustained back-and-forth to resolve, rather than a quick turnaround. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** The core problem with recent implmentation was fragmented customer data across systems — engagement data living in a separate marketing platform, transactional data in a CRM, and no reliable way to tie them to the same person without brittle, hand-built reconciliation logic. Data Cloud's identity resolution solves that by matching records across sources (in our case, using email as the resolution key) into a single unified profile, and calculated insights let you layer intelligence on top of that unified data — turning raw engagement history into a scored or ranked signal you can actually segment and act on, rather than a pile of disconnected events. ### 47. Approachable, Visual Audience Building with Unified Data in Data 360 **Rating:** 5.0/5.0 stars **Reviewed by:** Thomas B. | Revenue Operations 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** As a newer Salesforce admin still getting hands-on with Data 360, the segmentation and audience-building tools have been the most approachable part so far. Building audiences feels more visual and flexible than trying to replicate the same logic in standard Salesforce reports, and it's been easy to see how unified data across sources could open up more targeted outreach as we use it more. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Since I've only had limited exposure so far, the biggest challenge has been the learning curve around initial setup and data mapping. Documentation helps, but getting a clear picture of how data ingestion and unification rules connect to the segmentation tools took more trial and error than I expected for someone newer to the platform. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Better data integrity to make more informed decisions ### 48. Unifies Data Sources into One Clear Customer View **Rating:** 4.0/5.0 stars **Reviewed by:** Thitiya T. | 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Data 360 is its ability to unify data from different sources into a single view. It helps organizations connect and understand customer data more effectively, enabling better insights, personalization, and more informed business decisions. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** One thing I dislike about Data 360 is that it can be complex to set up and manage, especially when integrating data from multiple sources. It may also require additional technical expertise and resources to ensure data quality, governance, and accurate data mapping. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps solve the challenge of fragmented customer data across different systems and sources. By bringing data together into a unified view, it helps improve data visibility and quality, enables more accurate customer insights, and supports better decision-making and more personalized customer experiences. ### 49. Data 360 Unifies Customer Data for Clearer Insights and Personalization **Rating:** 4.5/5.0 stars **Reviewed by:** Suzen C. | Business Systems 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:** September 15, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like most about Data 360 is its ability to bring data from different sources together and provide a more complete view of the customer. Having data available in one place makes it easier for teams to understand customer interactions, identify useful insights, and build more personalized experiences. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** Data integration and configuration can take some time, especially when working with multiple data sources and complex data structures. There is an initial learning curve when setting everything up and making sure the data is mapped correctly. **What problems is Data 360 (formerly Salesforce Data Cloud) solving and how is that benefiting you?** Data 360 helps break down data silos by bringing information from different systems together. This makes customer data easier to access and use across teams, while also providing a stronger foundation for analytics, automation, and AI use cases. ### 50. Unified, Actionable Customer Profiles Across the Salesforce Ecosystem **Rating:** 5.0/5.0 stars **Reviewed by:** Pablo C. | CRM Solution Designer, Mid-Market (51-1000 emp.) **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 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:** May 05, 2026 **What do you like best about Data 360 (formerly Salesforce Data Cloud)?** What I like best about Salesforce Data 360 is that it helps bring customer data from different systems into a more unified and actionable view inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, marketing tools, service interactions, commerce data, and external sources, Data 360 makes it easier to connect those signals and use them in a more structured way. I especially like the idea of creating a more complete customer profile that can be used across sales, service, marketing, and analytics. This is valuable because many organizations already have the data they need, but it is fragmented across different platforms and teams. Another strong point is that Data 360 is designed to make customer data more usable for segmentation, personalization, reporting, and automation. When implemented well, it can help teams move from isolated data points to more context-aware customer engagement. **What do you dislike about Data 360 (formerly Salesforce Data Cloud)?** What I dislike about Salesforce Data 360 is that it can be complex to understand, implement, and maintain if the organization does not already have a clear data strategy. The platform is powerful, but getting real value from it requires clean source data, well-defined identity resolution rules, thoughtful data mapping, and alignment between business and technical teams. Another challenge is that the terminology and architecture can feel difficult at first, especially for teams that are used to working only with standard Salesforce CRM objects. Concepts like data streams, data model objects, identity resolution, calculated insights, and activation require time to learn and configure correctly. I also think the success of Data 360 depends heavily on governance. If the connected data sources are inconsistent, duplicated, or poorly documented, the platform can expose those issues rather than solve them automatically. It is not a quick plug-and-play solution; it needs careful planning, ownership, and ongoing data quality management. **What problems is Data 360 (formerly Salesforce 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. ## 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?section=pricing&secure%5Bexpires_at%5D=2026-09-21+02%3A44%3A24+-0500&secure%5Bsession_id%5D=0567fd4f-0956-41ca-97cd-49ef3fe9b584&secure%5Btoken%5D=8dab554549c80acaa2bed6bb9a0f67408efe35af2aaaad858dbd8823cc77361e&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) - 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