--- title: Salesforce Data 360 (formerly Data Cloud) Reviews meta_title: 'Salesforce Data 360 (formerly Data Cloud) Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 319 reviews by the users' company size, role or industry to find out how Salesforce Data 360 (formerly Data Cloud) works for a business like yours. aggregate_rating: rating_value: 4.3 review_count: 319 scale: '5' date_modified: '2026-08-14' parent_category: name: Marketing url: https://www.g2.com/categories/marketing --- # Salesforce Data 360 (formerly Data Cloud) Reviews **Vendor:** Salesforce **Category:** [Customer Data Platforms (CDP)](https://www.g2.com/categories/customer-data-platform-cdp) **Average Rating:** 4.3/5.0 **Total Reviews:** 319 ## About Salesforce Data 360 (formerly Data Cloud) Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed. This allows you to immediately personalize every customer experience, unlock connected journeys, and power smarter AI agents grounded in trusted business context. Data 360 activates your trusted context across every surface and every agent in your enterprise—wherever the work happens. ## Salesforce Data 360 (formerly Data Cloud) Pros & Cons **What users like:** - Users value the **real-time platform integration** of Salesforce Data 360, enhancing data connectivity and decision-making across ecosystems. (79 reviews) - Users value the **ease of use** in Salesforce Data 360, enhancing user experience and simplifying data management. (56 reviews) - Users appreciate the **easy integration** of Salesforce Data 360, streamlining workflows and enhancing data accessibility across teams. (53 reviews) - Users value the **effective data aggregation** of Salesforce Data 360, unifying diverse sources into a real-time customer profile. (39 reviews) - Users value the **seamless integrations** with various platforms, enabling unified customer profiles and enhanced audience targeting. (38 reviews) - Data Integration (36 reviews) - Data Centralization (35 reviews) - Integration Capabilities (34 reviews) - Users appreciate the **easy integrations** of Salesforce Data Cloud, enabling seamless data access and streamlined workflows. (33 reviews) - Data Quality (31 reviews) **What users dislike:** - Users find the **steep learning curve** of Salesforce Data 360 challenging, hindering quick understanding and effective use. (53 reviews) - Users find the **cost burdens** of Salesforce Data 360 to be high due to extensive data integration and usage demands. (44 reviews) - Users experience a **difficult learning** curve with Salesforce Data 360, making setup and usability quite challenging. (37 reviews) - Users find the **implementation complexity** challenging, particularly for novices, affecting overall user experience and adoption. (36 reviews) - Users struggle with the **complex setup** of Salesforce Data 360, facing steep learning curves and extensive training needs. (34 reviews) - Data Management Issues (25 reviews) - Difficult Setup (25 reviews) - Users note a **steep learning curve** with Salesforce Data Cloud, making it challenging for beginners to navigate effectively. (25 reviews) - Complex Implementation (24 reviews) - Setup Difficulty (24 reviews) ## Salesforce Data 360 (formerly Data Cloud) Reviews ### 1. The Ultimate Architecture for Zero-Copy Data Harmonization and AI Grounding **Rating:** 4.5/5.0 stars **Reviewed by:** jasjit s. | Technical Lead, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The absolute best feature of Salesforce Data Cloud (Data 360) is the Zero-Copy Data Architecture. Being able to federate data directly from external enterprise data warehouses like Snowflake, Databricks, or BigQuery without physically moving, replicating, or running heavy custom ETL pipelines is an architectural game-changer. It drastically lowers data storage overhead and integration latency. Combined with the Identity Resolution engine, it allows us to reconcile messy, disparate source data into a single, highly reliable 'golden record' profile that updates dynamically **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** While the native integration features within the Salesforce core stack (Sales, Service, Marketing Cloud, Agentforce) are seamless, handling edge-case data integration pipelines with complex, non-Salesforce third-party legacy systems still requires substantial custom configuration. The 'Zero-Copy' data virtualization architecture is amazing for primary data warehouses like Snowflake or BigQuery, but for out-of-the-box native connectors to smaller external business tools, the selection is still somewhat limited compared to long-standing standalone CDPs. This often forces teams back into standard ingestion pathways **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 effectively eliminates the persistent challenge of enterprise data fragmentation by harmonizing siloed structured and unstructured data across disparate systems into a single, unified "golden record" customer profile. By leveraging an advanced Zero-Copy architecture, it eliminates the need for costly, high-maintenance ETL pipelines by virtualizing and querying data in place directly from external warehouses like Snowflake or Databricks. This real-time data ingestion provides immediate, actionable insights across Sales, Service, and Marketing Clouds, enabling hyper-personalized automation and serving as a secure, accurate metadata foundation to ground autonomous AI tools like Agentforce. Ultimately, these capabilities benefit organizations by lowering data engineering overhead, significantly reducing cloud storage costs, improving cross-departmental collaboration, and accelerating time-to-value for enterprise analytics and AI initiatives. ### 2. Unified, Real-Time Customer Profiles with Powerful Identity Resolution **Rating:** 4.5/5.0 stars **Reviewed by:** Ameer A. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 25, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 (formerly Data Cloud) is how it brings all of our customer data together in one unified view. Before adopting it, our customer information was scattered across sales, service, marketing, and external sources — which made personalization and segmentation really difficult. With Data 360, we finally have a centralized and real-time profile for each customer that’s accessible across the entire Salesforce platform. The data modeling and identity resolution capabilities are particularly strong. They make it easy to merge duplicate records and maintain clean, accurate profiles without extensive manual work. This has improved the quality of our analytics and given our teams confidence in the metrics they use to make decisions. Another major benefit is the real-time data updates. Campaigns and journeys now react instantly to customer behavior, which has helped us deliver more timely and relevant experiences. It’s also straightforward to connect Data 360 with other Salesforce clouds (like Marketing Cloud and Service Cloud), which has streamlined our workflows and reduced integration complexity. Overall, Data 360 has significantly improved how we understand and engage with our customers, making data more usable and actionable across teams. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One of the main challenges with Salesforce Data 360 is the initial setup and learning curve. The platform is powerful, but configuring data streams, identity resolution rules, and data models requires a solid understanding of both Salesforce architecture and data management concepts. For teams without strong technical resources, onboarding can feel complex. Another drawback is cost. Data 360 is a premium product, and pricing can scale quickly depending on data volume and usage. For mid-sized organizations, this can become a significant investment. Performance can also depend heavily on how well the data model is designed. If not structured properly from the beginning, you may face delays in processing or difficulty in creating segments. Additionally, troubleshooting data ingestion or identity resolution issues sometimes requires deeper platform knowledge than expected. Overall, while it’s a very capable solution, it does require proper planning, skilled resources, and budget to fully realize its value. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 is solving one of our biggest challenges — fragmented customer data across multiple systems. Previously, our sales, service, and marketing teams were working with different versions of customer information, which led to inconsistent communication and limited personalization. Data 360 consolidates all that data into a unified customer profile, giving us a single source of truth. It also helps solve identity resolution issues. We used to struggle with duplicate records and incomplete customer views. With Data 360’s matching and reconciliation capabilities, we can merge records intelligently and maintain cleaner data, which improves reporting accuracy and decision-making. Another major problem it addresses is real-time engagement. Before, we relied on batch updates, which delayed campaign triggers and personalization efforts. Now, customer behavior is reflected almost immediately, allowing us to trigger journeys, segmentation, and communications in near real time. The benefit for us has been better segmentation, more targeted campaigns, and improved customer experience. Our teams collaborate more effectively because everyone is looking at the same data foundation. Ultimately, it has helped us move from reactive communication to proactive, data-driven engagement. ### 3. The easiest way to ingest data I have seen in some time **Rating:** 5.0/5.0 stars **Reviewed by:** Jack S. | Managing Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The zero-copy functionality has proved its value time and time again. Allowing a seamless, cheap and easy way to bring data into your Salesforce instance for segmentation, analytics, AI, or any other purpose. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The party identifcation DMO proves rather difficult to break down and understand, and a good technical understanding of this and the 360 model is needed in order to properly drive unification. At the time we implementated, the documentation was somewhat poor however since then, it has significantly improved, and the online communities such as Data Blazer proved a fruitful source of infomration. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** - Integrations, particuarly using a connector or zero copy, are far easier, quicker, and require less resources to setup. -Being able to show data from Data Cloud using the Copy Field/Related List has meant that adding new fields and allowing access for advisors has streamlined business processes. - The future of the platform is being built on Data Cloud, and preparing it using connectors and Data Kits has been relatively seamless since the beginning and does not require a mass of resources to get in place. ### 4. A Strategic Enabler for Unified Customer Intelligence and Activation **Rating:** 4.5/5.0 stars **Reviewed by:** Tejas P. | Salesforce Developer, Enterprise (> 1000 emp.) **Reviewed Date:** September 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What stands out most is how seamlessly Data Cloud integrates with both Salesforce-native and external data sources like Amazon S3. The platform’s ability to harmonize disparate datasets into a unified customer profile has been a game-changer. Its real-time segmentation and activation capabilities allow us to respond to customer behavior with agility, while the intuitive UI and strong governance features make it scalable across teams. The identity resolution engine is particularly impressive—it’s helped us reduce duplication and improve personalization across channels. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** While the platform is robust, the initial onboarding and data modeling phases require a steep learning curve, especially for teams new to CDPs. Some UI components can lag when handling large datasets, and a few connectors for niche third-party tools require custom development. Additionally, documentation around advanced orchestration flows could be more detailed to support complex use cases. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud is helping us solve the challenge of fragmented customer data across systems. By centralizing and harmonizing data, we’ve built a reliable Customer 360 view that powers real-time segmentation and activation. This has improved campaign performance, reduced operational silos, and enhanced customer experience. It’s also helping us stay compliant with data privacy regulations through strong governance features. ### 5. Powerful Data Activation Platform with Strategic Planning Required for Success **Rating:** 5.0/5.0 stars **Reviewed by:** Pramod P. | Sr Salesforce Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 04, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Zero copy data migration is incredibly efficient and seamless. It eliminates the need for manual data movement, saving time and reducing errors during integration **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Initial Learning Curve: The platform has a steep learning curve, especially for teams unfamiliar with data lakehouse concepts or Salesforce-native data architecture. Cost Management: Usage-based pricing can be difficult to predict, especially when data volumes scale rapidly. Organizations need to monitor usage closely to avoid unexpected costs. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud is solving the challenge of fragmented customer data across multiple systems. By unifying data from various sources into a real-time customer graph, it enables a 360-degree view of the customer. This helps us deliver personalized experiences, improve targeting, and automate workflows more effectively. The zero-copy architecture ensures data stays where it is, reducing duplication and improving performance. Overall, it’s helping us make smarter decisions faster and drive better engagement across channels. ### 6. Powerful Insights with Data Cloud **Rating:** 5.0/5.0 stars **Reviewed by:** shayan k. | Salesforce Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** September 17, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how Salesforce Data Cloud brings data from different sources into a single real-time view of the customer. It makes it easier to build personalized experiences, drive smarter automation, and even helps agents by providing relevant knowledge articles to support customers better. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Sometimes Salesforce Data Cloud can feel a bit complex to set up and manage, especially when dealing with large data models and identity resolution. It takes time to configure properly and can be overwhelming for new users **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** alesforce Data Cloud solves the challenge of scattered customer data across different systems. It unifies all that data into one real-time profile, which helps me build more accurate automations and deliver personalized experiences. It also saves time for agents by giving them quick access to complete customer information and relevant knowledge articles ### 7. Powerful Customer Insights and I love this cloud! **Rating:** 5.0/5.0 stars **Reviewed by:** Kalyan P. | Salesforce Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate how this platform brings together customer data from various sources into a single, unified profile, providing a clear and consolidated overview. The real-time insights and segmentation features allow me to better understand customer behavior and respond quickly. The AI-powered recommendations and analytics support more data-driven and efficient decision-making. I also value how well it integrates with other Salesforce tools, which makes the overall workflow more connected and seamless. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The setup and configuration can feel complex at times, especially when dealing with data mapping and permissions — it requires a learning curve and technical precision. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 addresses the challenge of fragmented and isolated customer data spread across different systems. Rather than having to switch between various platforms, I now have a single, real-time view of all customer interactions. This unified perspective allows for better personalization, supports more informed decision-making, and results in campaigns that are both more targeted and effective. Personally, this means I spend less time on manual data management and can dedicate more energy to strategic initiatives, all supported by reliable insights. ### 8. Steep Learning Curve But Integrates Well for Segmentation **Rating:** 2.5/5.0 stars **Reviewed by:** Rahimeh B. **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate how Salesforce Data Cloud simplifies the creation of segmentations using various criteria and data points which isn't possible in native Salesforce reports. The integration with Marketing Cloud is extremely useful, allowing us to act on insights about prospects and enhance account engagement. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find setting up Salesforce Data Cloud to be quite difficult due to the extensive training required and the new terminology introduced. It feels almost like learning a new product from scratch, especially with functionalities like data mapping, unification, and segmentation that we hadn't handled before. Additionally, the product's complexity is heightened by areas where writing code is necessary, such as with calculated insights and query editors, which differ significantly from standard Salesforce administration tasks. This steep learning curve is not just challenging but makes the overall user experience less intuitive, especially for experienced Salesforce administrators. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It solves complex marketing segmentation by using criteria and attributes from different data points, enhancing our segmentation capabilities beyond native Salesforce reports. The integration with Marketing Cloud enables us to act on insights, improving prospect engagement. ### 9. Powerful Segmentation, Complex Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Sushree R M. **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love how Salesforce Data Cloud has significantly simplified segmentation for my marketing team. They can now create the segments they desire without writing SQL or code, using just natural language and a user-friendly drag-and-drop interface. The identity resolution feature is impressive, and the prebuilt connectors are highly convenient, allowing for out-of-the-box use alongside segmentation capabilities. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** {"Setting up Salesforce Data Cloud was difficult, especially the harmonization process where I had to map it to the canonical models. It was a painful process, though it was a one-time effort.","I would like to have more ingrained data governance that can mirror my Salesforce score, permissions, and governance.","The pricing model is very complicated. If it were simpler, it would make it easier to use more of the data cloud."} **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I find Salesforce Data Cloud solves segmentation issues, enabling my marketing team to create segments with ease using natural language and drag-and-drop UI without coding. ### 10. Powerful and Scalable Customer Data Platform That Drives Unified Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Jose Carlos P. | Solutions Architect Lead, Enterprise (> 1000 emp.) **Reviewed Date:** October 09, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate the platform’s ability to aggregate and harmonize diverse data sources quickly, creating a single source of truth. The real-time data updates and native AI capabilities provide actionable insights that drive smarter decision-making. Additionally, the tight integration with Salesforce Marketing Cloud and other Salesforce products streamlines campaigns and personalization efforts. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The initial setup and data modeling can be complex and require a steep learning curve, especially for teams new to customer data platforms or Salesforce’s ecosystem. Documentation and support could be more comprehensive to help accelerate onboarding and troubleshooting. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** appreciate the platform’s ability to aggregate and harmonize diverse data sources quickly, creating a single source of truth. The real-time data updates and native AI capabilities provide actionable insights that drive smarter decision-making. Additionally, the tight integration with Salesforce Marketing Cloud and other Salesforce products streamlines campaigns and personalization efforts. ### 11. Highly Recommend **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** August 24, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data Cloud is great for companies that have a lot of data in a lot of different places and systems and that want to bring it into a single location for a single view of what's happening. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** For me, there was a bit of a learning curve since I hadn't worked with a similar product before, but Trailhead was an incredible resource that allowed me to get up to speed quickly and excel on the platform. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data Cloud is a great way to bring all your company's data into a single place. It also forces you to really look at the data you have an determine if it's any good. It may spur a realization that better data hygiene need to be put in place and encourage teams to work to clean it up so that the data Data Cloud is presenting, and then being pushing into Agentforce, is accurate and actionable for end users. ### 12. Unified and Reliable Customer Data Across All Systems **Rating:** 5.0/5.0 stars **Reviewed by:** VIKRAM N. | Associate Architect (Salesforce), Small-Business (50 or fewer emp.) **Reviewed Date:** January 08, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I appreciate most about Data 360 is how it provides unified and reliable customer data across different systems. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I find challenging about Data 360 is its complex setup process and the steep learning curve required to get started. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 brings together scattered customer data in real time, allowing for the creation of reliable profiles, quicker insights, improved personalization, and more informed decision-making for sales, service, and marketing teams. ### 13. Powerful Customer Insights with Salesforce Data Cloud, but Complex and Costly Implementation **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce Data Cloud provides a unified data foundation that enables real-time customer insights and personalized engagement at scale. Its native integration across the Salesforce ecosystem enhances data consistency, segmentation, and activation. The platform’s automation and AI capabilities streamline decision-making, drive operational efficiency, and unlock measurable business outcomes through data-driven intelligence. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Implementation complexity and high data processing costs can pose challenges for organizations without mature data infrastructure. The learning curve for managing data models and connectors is steep, and system performance may vary depending on data volume and integration depth. Additionally, advanced analytics features often require supplemental Salesforce licenses, impacting total cost of ownership. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud unifies fragmented customer data from multiple systems into a single source of truth, enabling real-time audience segmentation and personalized engagement. It eliminates data silos, improves targeting accuracy, and enhances marketing automation workflows. By delivering unified customer profiles and actionable insights, it empowers teams to drive higher conversion rates, stronger customer retention, and improved ROI across digital channels. ### 14. Great Data Harmonization Concept, but Steep Learning Curve for Admins **Rating:** 3.0/5.0 stars **Reviewed by:** Elena B. | Salesforce Technical Project Manager , Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The idea of harmonizing data is great. The mapping tool is very transparent **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I am still learning, not the easy learn for Admins, I don't get a clear picture from there the data from in the end of the process. Most of the time we have one contact present in 2 or 3 orgs. Business want to see all the resources info **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Merging 3 orgs in one ogr ### 15. Powerful Data Unification, But Pricey and Complex for Small Teams **Rating:** 4.5/5.0 stars **Reviewed by:** Lavi G. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 17, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Tried Salesforce Data Cloud in a trial love how it connects multiple data sources into unified customer profiles. Real-time insights, AI-driven segmentation, and strong integration with Salesforce apps make it a powerful tool for future adoption. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Pricing is steep for smaller teams. Setup is complex and demands strong data hygiene. Performance lags at scale. The UI, data mapping, and segmentation tools can feel clunky, and documentation is sometimes lacking in depth. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud solves fragmented, siloed customer data by unifying profiles across systems in real time. You gain clearer insights, smarter segmentation, real-time activation, and stronger personalization — bridging data gaps and improving engagement. ### 16. Promising Capabilities but Pricing Concerns **Rating:** 3.5/5.0 stars **Reviewed by:** chaitanya p. | Manager, IT Business Applications, Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I believe Salesforce Data Cloud is promising, especially with its integration capabilities with tools like Jira and Snowflake. The DMO, ingestion, and other features appear really useful. Despite the learning curve, I feel that I am making good progress with it. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The pricing of Salesforce Data Cloud is very expensive, which is a significant concern. Additionally, the initial setup process involves a steep learning curve, requiring a lot of learning before effectively using it. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I find the product promising as it will streamline integrations, especially between Jira and Snowflake, and has useful capabilities like DMO and ingestion. ### 17. Unified Data Management with Excellent Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Jean-Paul C. | Salesforce Consultant **Reviewed Date:** August 26, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate the good documentation and available resources that eased the learning curve of Salesforce Data Cloud. I also value the unified profiles that combine customer data from different platforms, simplifying information access and updates. The prebuilt connectors for systems like CRM, Google, and telephony are incredibly useful, making data integration seamless. I love having all the data in one place, which greatly enhances my workflow efficiency. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find the initial setup and learning phase of Salesforce Data Cloud to be challenging. There is a steep learning curve with many steps involved, which made it difficult to grasp at first. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data Cloud to combine data from various sources, unifying customer profiles, which simplifies accessing and updating information. ### 18. Unified Data Profiles Save Time, But Setup Can Be Complex **Rating:** 4.0/5.0 stars **Reviewed by:** Jackie W. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It finally unifies all your data — prospects, applicants, students, and marketing interactions — into a single, real-time profile so you don’t have to manually pull or merge reports from multiple systems. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It takes time and technical setup to connect and map all your data sources correctly, so the initial build can feel complex before the time savings kick in. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It eliminates hours spent reconciling spreadsheets or exporting lists by giving you one clean, always-updated data view for reporting, segmentation, and automation in real time. ### 19. A Game-Changer for a Unified Customer View **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The best thing is its ability to create a truly unified customer profile. It's a game-changer for stitching together customer data from different sources into one single, accurate view. I also love the seamless, native integration with Marketing Cloud. It lets us activate our unified audiences and create real-time segments for targeted campaigns very quickly. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The initial setup can be complex and has a steep learning curve, especially for data ingestion and transformation. The UI for data mapping could be more intuitive. We had to spend a lot of time on the initial configuration, so having a solid data strategy in place before you start is essential. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud is primarily solving the problem of data fragmentation. It helps to unify disparate customer data from various sources (websites, apps, legacy systems) into a single, cohesive customer profile. This benefits us by enabling highly targeted and personalized campaigns. We can now create real-time audience segments based on a customer’s actual behavior, rather than static, outdated data. This not only improves the effectiveness of our marketing efforts but also ensures a more consistent and relevant experience for our customers across all touchpoints. ### 20. Great for unifying customer data with strong insights **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 23, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce Data Cloud makes it easy to unify customer data from many sources, giving a complete view that helps with analytics, personalization, and better decision-making. Its strong integration with other Salesforce tools is also very helpful. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The initial setup can feel complex, and new users often face a learning curve before they can fully take advantage of all the features. Pricing can also be on the higher side, which makes it harder for smaller teams to adopt quickly. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud helps solve the challenge of disconnected data across different systems. By unifying customer data into a single profile, it eliminates silos and gives teams a 360-degree view of the customer. This makes segmentation and personalization much more effective, improves decision-making, and ultimately helps deliver better customer experiences. ### 21. Easy Integration with Connectors, but Steep Initial Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate how simple it is to use connectors to link with services like Redshift and other storage solutions. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The learning curve can be somewhat challenging at first. When dealing with large amounts of data, the mapping process and related tasks become a bit more complicated. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Accessing our data that is stored outside of Salesforce has become much easier. Now, information kept in our data lake is more readily available. ### 22. Great Customer Insights, but Steep Learning Curve and High Setup Costs **Rating:** 4.0/5.0 stars **Reviewed by:** Sweta N. | Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Unified Customer Profile View, Customer Segmentation view, integration with Salesforce ecosystem **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Challenging setup, learning is steep, resourcig costs are higher **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Creates a unified 360 view, personalisation view, improves marketing effectiveness, ### 23. Great Data Security and Scalability, but Steep Learning Curve and High Cost **Rating:** 4.5/5.0 stars **Reviewed by:** Swati A. | Manager Enterprise Application Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data security and scalability, future ready **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Steep learning curve and expense. Limited out if the box **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Create 360 customer view. Enables real time personalization ### 24. Great for Data Segmentation, but Pricey and Complex to Learn **Rating:** 4.5/5.0 stars **Reviewed by:** Lalitha T. | Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Helps segmentation unification of data solves complex data issue **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** High cost complexity learning curve and consistency **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Segmentation unification is complex data ### 25. Versatile Data Handling, but Steep Learning Curve **Rating:** 5.0/5.0 stars **Reviewed by:** Richa A. | Business Technology Solutions Manager, Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** How it can handle versatile data sources **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Training required to fill start utilizing this **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Utilizing healthcare data to generate analytics ### 26. Great for Integrating Data, but Steep Learning Curve **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how it enables us to pull in data from different sources for use in products like Marketing Cloud. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** There is definitely complexity to how it works, and setting it up and running it is a steep learning curve **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It allows us to pull in data from many sources for our use. ### 27. Great Data Integration for Salesforce, but UI Takes Time to Learn **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It's a great solution to get data from other platform visualized by users in Salesforce. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It's a bit complicated at the beginning to understand the user interface but after few hours... It's not so complicated **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Visualizing AWS S3 data for all our users directly in Salesforce ### 28. Great Integrations, but Setup and Credit Costs Need Clarity **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I really appreciate the wide range of integration options available. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** In my opinion, the setup process is not very straightforward, and it's also unclear how credit usage affects both impact and cost. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I am currently using it to support advanced use cases within Marketing Cloud. ### 29. Great Product for management at scale, but with a higher barrier to entry **Rating:** 4.5/5.0 stars **Reviewed by:** Ben G. | Salesforce Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability to automatically monitor and track massive data from many sources in a scalable and visual way **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Initial setup and understanding the structure isn't very easy. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Monitoring data streams at scale. ### 30. Great Data Integration, but Setup Needs Improvement **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like that it combines my data from multiple sources **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It is not very intuitive and use friendly to set up **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It is solving issues if reporting on kpis that require data from multiple sources ### 31. Salesforce Data Cloud: Real-Time Intelligence That Transforms Customer Engagement **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** September 07, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Real-Time Data, Smarter Customer Engagement **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Setup complexity and steep learning curve **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud solves the challenge of fragmented customer data by unifying it into real-time, actionable profiles. This eliminates silos across CRM, web, mobile, and external systems, allowing teams to personalize experiences, automate workflows, and make smarter decisions instantly. ### 32. Agentforce Offers Great Potential, but Setup Can Be Confusing **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Human Resources | Small-Business (50 or fewer emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** So much possibility especially with agenrforce **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Setting up is little confusing and take time **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** So much data in many systems ### 33. Great Real-Time Features and Governance, but Steep Learning Curve **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Real time, built in governance, integration **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Complexity of implementation, learning curve **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Customer data residing in multiple systems ### 34. Solution to Comprehensive But Complicated Marketing **Rating:** 4.5/5.0 stars **Reviewed by:** Muhammad S. | Technical Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2024 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The Salesforce Marketing Cloud Suite is an extremely potent arsenal of tools that empowers us to seamlessly build hyper personalized, cross-channel marketing campaigns. Being able to segment audiences, build automated workflows and track our messaging in real-time has transformed the way we approach marketing. Syncs with other Salesforce products and provides easy to work data share options which further enrich our understanding of customer behavior. The amount of customization you can do with those services is insane and that is what helps tailor your campaigns to very specific customer needs. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Onboarding new users to Salesforce Marketing Cloud Suite is challenging due to the intense learning curve. In addition, the user interface is powerful at getting specific data back into your hands but it feels clunky and to use features correctly its assumed you've gone through a boot camp of some sort. Finally, the complexity of the suite sometimes adds problems: degraded system performances and everyday bugs interrupting workflows. In addition, the platform can be quite expensive for smaller businesses or those with restrained marketing budgets. Continuous monitoring and management through a dedicated team also adds to the total expense **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Marketing Cloud Suite has solves multiple problems in our marketing operations. One, it allows us to consolidate all our customer data; across different platforms for a complete 360 view of each buyer. This has greatly increased our capacity to segment the audience and run targeted marketing campaigns which have resulted in a high level of engagement with higher conversion rates. The suite's automation arms have also let us automate our marketing operations to save time and avoid doing things manually. It helps us do more interesting things and spend less time on the mundane. The elaborate analytics and reporting tools yield rich information about campaign performances, enabling us to arrive at data-driven decisions making process thus increasing the scope of bettering our marketing endeavors cumulatively. In our organisation, we found Salesforce Marketing Cloud Suite to be really beneficial in terms of improving the efficiency of marketing operations and leading towards better customer engagement which ultimately results into a business success. ### 35. Salesforce Marketing Cloud Review **Rating:** 4.5/5.0 stars **Reviewed by:** Shubham M. | Senior Business Development Executive, Market Research, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2023 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce marketing cloud is the best marketing tool i have used so far, it's fully automated, we can run multiple marketing and bulk emailing campaigns at a given time. It also so suggestive markeitng as per the target audience. It's the best tool to worked with. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** nothing to dislike but user needs some specific training and it's expensive too. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** marketing campaigns, user outreach, automated leads capturing ## Salesforce Data 360 (formerly Data Cloud) Discussions - [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager) - [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager) - [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses) - [View Salesforce Data 360 (formerly Data Cloud) pricing details and edition comparison](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews?filters%5Bsentiment_snippet%5D=2078895&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-14+13%3A29%3A52+-0500&secure%5Bsession_id%5D=525fe23c-3703-442f-b270-0279c1311f94&secure%5Btoken%5D=fe238011330ee3fb25b736e744ba90c6b1007d3e972ea0a26dbba0b43e859993&format=llm_user) ## Salesforce Data 360 (formerly Data Cloud) Integrations - 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[Workday](https://www.g2.com/products/workday-workday/reviews) - [Zendesk for Customer Service](https://www.g2.com/products/zendesk-for-customer-service/reviews) ## Salesforce Data 360 (formerly Data Cloud) Features **Additional Functionality** - Data Cleansing - Data Extraction - Third-Party Integrations - Data Verification - Information Governance - Data Capture and Transfer - AI Copilot - Customizable Reports - Data Migration - Behavior Analytics - Real-Time Reporting - Interactive queries - Audit Trail - Multiple Data Sources - Document Storage - Access Controls/Permissions - User Management - AI/Machine Learning - Master Data Management - Task Scheduling - Data Import/Export - Monitoring - Customer Database - Audit Management - Reporting/Analytics - Data Visualization - Collaboration Tools - Workflow Management - Full Text Search - Compliance Management - Generative AI - Data Quality Control - Data Connectors - Automatic Backup - Activity Tracking - Activity Dashboard - Data Security - Data Analysis Tools - Data Synchronization - Metadata Management - Dashboard Creation - Visual Analytics - Secure Data Storage - Data Integration - Database Support **Data Integration** - 1st-Party Data Integration - 2nd-Party Data Integration - 3rd-Party Data Integration - Offline Data Integration - Mobile Data Integration - Data 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 Salesforce Data 360 (formerly Data Cloud) Alternatives - 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