# 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:** 247 ## About Salesforce Data 360 (formerly Data Cloud) Salesforce Data Cloud unlocks the full value of your enterprise data by powering Customer 360 apps, Agentforce, and enhancing your existing data lake and warehouse investments with real-time insights and intelligent action. Natively built on the Salesforce Platform, Data Cloud is designed to complement—not replace—your current systems. It acts as a smart data bridge, unifying structured and unstructured data from lakes, warehouses, and business applications using low-code tools. With Zero Copy architecture and deep partnerships with Amazon, Snowflake, Databricks, and Google, you can maximize existing data investments and activate data seamlessly across the Salesforce ecosystem. ## Salesforce Data 360 (formerly Data Cloud) Pros & Cons **What users like:** - Users value the **seamless platform integration** of Salesforce Data 360, enhancing data connectivity and accessibility across the ecosystem. (79 reviews) - Users value the **ease of use** of Salesforce Data 360, highlighting its smooth setup and time-saving benefits. (56 reviews) - Users appreciate the **easy integration** of Salesforce Data 360, enhancing data unification and streamlining workflows effortlessly. (53 reviews) - Users appreciate the **real-time data unification** of Salesforce Data Cloud, enhancing personalized decision-making and campaign targeting. (39 reviews) - Users appreciate the **seamless integrations** of Salesforce Data 360, enhancing data accessibility and driving intelligent decision-making. (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, necessitating additional support and technical expertise. (53 reviews) - Users find the **expensive pricing structure** challenging, complicating cost management and leading to unexpected expenses. (44 reviews) - Users find the **difficult learning** curve challenging, especially for those new to data lakehouse concepts and setup complexities. (37 reviews) - Users report a **complex initial setup** requiring technical expertise, which can hinder timely utilization of Salesforce Data 360. (36 reviews) - Users find the **complex setup** of Salesforce Data 360 challenging, often requiring significant time and additional support. (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. Unified, Actionable Customer Profiles Across the Salesforce Ecosystem **Rating:** 5.0/5.0 stars **Reviewed by:** Pablo C. | CRM Solution Designer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 is that it helps bring customer data from different systems into a more unified and actionable view inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, marketing tools, service interactions, commerce data, and external sources, Data 360 makes it easier to connect those signals and use them in a more structured way. I especially like the idea of creating a more complete customer profile that can be used across sales, service, marketing, and analytics. This is valuable because many organizations already have the data they need, but it is fragmented across different platforms and teams. Another strong point is that Data 360 is designed to make customer data more usable for segmentation, personalization, reporting, and automation. When implemented well, it can help teams move from isolated data points to more context-aware customer engagement. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I dislike about Salesforce Data 360 is that it can be complex to understand, implement, and maintain if the organization does not already have a clear data strategy. The platform is powerful, but getting real value from it requires clean source data, well-defined identity resolution rules, thoughtful data mapping, and alignment between business and technical teams. Another challenge is that the terminology and architecture can feel difficult at first, especially for teams that are used to working only with standard Salesforce CRM objects. Concepts like data streams, data model objects, identity resolution, calculated insights, and activation require time to learn and configure correctly. I also think the success of Data 360 depends heavily on governance. If the connected data sources are inconsistent, duplicated, or poorly documented, the platform can expose those issues rather than solve them automatically. It is not a quick plug-and-play solution; it needs careful planning, ownership, and ongoing data quality management. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 helps solve the problem of fragmented customer data across different systems and teams. Many organizations have useful customer information in CRM, marketing platforms, service tools, commerce systems, analytics tools, and external databases, but that information is often disconnected. Data 360 helps bring those signals together so teams can work from a more complete customer view. The main benefit is that customer data becomes more actionable. Instead of looking at isolated records or manually combining information from different tools, teams can use unified profiles, segments, calculated insights, and activations to support better sales, service, marketing, and reporting decisions. It also helps improve personalization and prioritization. For example, teams can better understand customer behavior, engagement history, product usage, service interactions, and potential opportunities or risks. That makes it easier to target the right customers, personalize communication, and make decisions based on broader context. Overall, Salesforce Data 360 benefits me by reducing data silos, improving visibility, and making customer data more useful for business processes, analytics, and customer engagement. ### 2. Strong Customer Data Platform with Real-Time Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Eder S. | Soluções Salesforce, Mid-Market (51-1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like most about Data Cloud is its ability to unify customer data from multiple sources into a single, reliable profile. In practice, this makes a big difference when building audience segments, since I no longer have to deal with fragmented or inconsistent data. The pre-built connectors are another highlight. They significantly reduce the effort required to integrate new data sources — what used to take days can now be done much faster, which helps me focus more on campaign strategy instead of technical setup. Real-time data is also a game changer. It allows us to react almost instantly to customer behavior, enabling more relevant and timely communications, especially in automated journeys. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Overall, I find Data Cloud to be a very complete platform that meets most of my needs. However, the initial implementation can be quite complex, especially when dealing with data modeling and identity resolution across multiple sources. This complexity can slow down the onboarding process and require more technical involvement than expected at the beginning. Over time, it becomes easier to manage, but the learning curve is definitely something to consider. Improving the onboarding experience with more guided setups, clearer documentation, or predefined templates for common use cases would help reduce this initial barrier and accelerate time to value. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Before using Data Cloud, we struggled with fragmented customer data spread across multiple systems, which led to duplication, inconsistencies, and a lack of a clear customer view. This made it difficult to build reliable audience segments and impacted the effectiveness of our campaigns. With Data Cloud, we were able to centralize and unify this data into a single, more reliable customer profile. Identity resolution was a key factor, allowing us to connect interactions across multiple channels and significantly improve data consistency. As a result, we gained much more agility in building segments and activating campaigns. What previously required heavy support from technical teams can now be done more independently by marketing, reducing turnaround time. Overall, this has improved our decision-making confidence and led to better engagement and conversion rates. ### 3. 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. ### 4. .Powerful Real-Time Customer Profiles with Seamless Salesforce Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Drashti P. | Summer Internship Program, Small-Business (50 or fewer emp.) **Reviewed Date:** May 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify customer data from multiple systems into a single real-time customer profile. It helps organizations make smarter decisions by connecting sales, service, marketing, and analytics data in one place. I also appreciate the real-time insights, identity resolution, and seamless integration with the Salesforce ecosystem, which enables personalized customer experiences and better automation across teams. The platform’s scalability and AI-driven capabilities make it very powerful for modern customer engagement and data-driven strategies. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One challenge with Salesforce Data 360 (formerly Data Cloud) is that the initial setup and implementation can be complex, especially when integrating multiple data sources and defining identity resolution rules. It also has a learning curve for new users who are not familiar with data modeling and segmentation concepts. Additionally, licensing and storage costs can become expensive for organizations managing large volumes of data, and some advanced features require significant technical expertise to fully utilize. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 (formerly Data Cloud) helps solve the problem of fragmented customer data that exists across multiple systems and platforms. By bringing data together into a unified customer profile, it provides a complete and real-time view of customers, which improves decision-making and customer engagement. This benefits me by enabling better personalization, faster access to insights, improved reporting accuracy, and more efficient collaboration between sales, service, and marketing teams. It also helps streamline data management processes and supports scalable, data-driven business strategies. ### 5. Salesforce Data Cloud Makes Customer Unification and Segmentation Effortless **Rating:** 5.0/5.0 stars **Reviewed by:** Sheik Abdullah J. | Salesforce Developer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 18, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I have been working with Salesforce Data Cloud for the last six months. So far, I’ve really liked how it makes customer unification easy and straightforward. Before Data Cloud, it was very hard to get a complete view of the customer. Now, having a unified customer view and better segmentation has made targeted marketing much easier for us. Data Cloud feels like a game changer if you’re dealing with multiple data sources and interacting with customers across different channels. Einstein Studio’s custom predictive models are also a very good add-on. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** So far, everything works as expected and mostly covers our needs. The pricing feels like too much if you’re not going to use all the features. Great tool overall. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** The main challenge for us has been maintaining so many different data sources - Sales Cloud, Service Cloud, Snowflake, Pipe Drive, CSV files, etc. With Data Cloud, everything is in one place, which makes it a great choice for targeted and personalised marketing, along with strong segmentation options. ### 6. Easy Setup, Needs Better Segmentation **Rating:** 3.5/5.0 stars **Reviewed by:** anudeep d. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I find Salesforce Data 360 really helpful for segmentation and building data extensions for marketing cloud journeys. It greatly simplifies the segmentation of data from multiple streams, including Snowflake. I also appreciate how it leverages calculated insights for building reports. The data ingress process is very easy; it’s incredibly simple to set up, and I can have it up and running, with data coming in, in less than an hour. Overall, all the features are great. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Data ingress should be free and the segmentation selection should be made easy. Segmentation and calculated insights can be more streamlined. Calculated insights reports should be grouped for dates. Segments selection of related attributes should be more streamlined and easy instead of an endless list of dropdown. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 helps us in segmentation of data from multiple streams, even Snowflake, and uses calculated insights for building reports. The process of ingress is easy, and it's very easy to set up, getting data coming in less than an hour. ### 7. Transforms Data into Customer Insights Effortlessly **Rating:** 5.0/5.0 stars **Reviewed by:** David M. | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love the control possible from Salesforce Data 360 to capture data and then enhance or combine that data with Salesforce objects. Salesforce Data 360 has several features that support expansion. As we continue to learn more about what Salesforce can do for us, Salesforce Data 360 will be right there adding to our possibilities. The initial setup was very easy. The documentation was clear, and learning how to capture a data stream from our website was easy to configure. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One issue right now is Zero-copy support. There are MANY connectors in beta that have little to no updates in several months. We all know this takes time, but more communication around upcoming Zero-Copy support would be really appreciated. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to capture website data for our agent, consolidate customer data, and achieve a 360-degree customer view. ### 8. A Game-Changer for Data Management **Rating:** 4.5/5.0 stars **Reviewed by:** Sri R. | Director Solution Architecture, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I really appreciate Salesforce Data 360's architecture; it represents a new way of thinking and designing. The canonical layer that Salesforce introduced is fantastic, as it helps reduce duplication and consolidates multi-record data into a 'golden record.' This was a game changer for me. I find it incredibly magical how Salesforce holds everything within native apps, which has simplified data storage by eliminating the need for third-party applications. The setup was surprisingly easy, requiring just a few clicks, which made transitioning very smooth. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One thing is I'm not very certain about the licensing cost. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I find Salesforce Data 360 a game changer for storage, reducing dependency on third-party apps and centralizing data. Its canonical layer reduces duplication, turning messy data from multiple sources into a golden record, which is fantastic. ### 9. Effective Integration, Confusing Initial Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Murilo P. | Head of Development, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the way Salesforce Data 360 integrates data. I work with system development and integration, so I really appreciate how it allows for various modes of data ingestion, activation, and system integration, and the use of connectors that facilitate projects. The ease of bringing specific marketing data from where the business needs it, greatly speeding up the process and avoiding data duplication, is something that highlights this product. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The settings are not very clear. We had some errors in the first projects. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to structure data for marketing campaigns and conversational flows, integrating systems easily through connectors, speeding up the process and avoiding data duplication. ### 10. Boosted Lead Management with Seamless Integration **Rating:** 4.0/5.0 stars **Reviewed by:** Srinivas Y. | Technical Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the segmentation and integration with other clouds in Salesforce Data 360. We have a lot of lead data, and Salesforce Data 360 helps us automate, classify, and use these leads in Marketing Cloud, which is helping us grow our business. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I wish there were more features for data profiling and that segmentation came with more features. Also, it would be great if the pricing were less. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to refine lead data and automate lead handling, which helps grow our business by pushing clean leads to Marketing Cloud. It solves handling huge data and creates data sets through segmentation, aiding in data classification and integration with other clouds. ### 11. Powerful Real-Time Customer 360, but Implementation and Cost Need Careful Planning **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 (formerly Data Cloud) is its ability to unify and activate customer data in real time across the entire Salesforce ecosystem. It brings together data from multiple sources—CRM, external platforms, and transactional systems—into a single, harmonized customer profile. This eliminates data silos and provides a true 360-degree view of the customer, which is incredibly powerful for both decision-making and personalization. What stands out is how quickly this data becomes actionable. Instead of just storing information, Data 360 enables real-time segmentation, automation, and AI-driven insights that can be used instantly across marketing, sales, and service. For me, this means more accurate targeting, better customer experiences, and faster time to value. It also reduces the dependency on complex data pipelines, making it easier to scale data-driven strategies efficiently and confidently. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I dislike about Salesforce Data 360 (formerly Data Cloud) is that, despite its powerful capabilities, it can be complex to implement and manage. Setting up data streams, identity resolution, and data models often requires a strong understanding of both Salesforce architecture and data engineering concepts, which can create a steep learning curve. For teams without dedicated expertise, this can slow adoption and delay value realization. Another challenge is cost. Data Cloud can become expensive as data volume grows, especially when ingesting large datasets or enabling multiple use cases across teams. This makes it important to carefully plan usage and governance. Additionally, while it promises real-time capabilities, achieving true real-time performance can sometimes depend on how well the data pipelines are configured. Overall, while it is a powerful platform, it requires thoughtful planning, expertise, and investment to fully leverage its potential. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 (formerly Data Cloud) solves one of the biggest problems in banking: fragmented customer data spread across multiple systems like core banking, credit cards, loans, and digital channels. This fragmentation makes it difficult to understand customers holistically, leading to inconsistent experiences, missed cross-sell opportunities, and slower decision-making. Data 360 unifies these data sources into a single, real-time customer profile with identity resolution, giving banks a true 360-degree view of each customer. It also enables real-time data activation, meaning insights can immediately trigger personalized actions across channels like mobile apps, email, and contact centers. For a banking client, this translates into more relevant product recommendations (e.g., loans, credit cards), improved fraud detection through better data visibility, and enhanced customer service with faster, context-aware interactions. It also supports regulatory compliance by providing cleaner, more governed data. Overall, it helps banks deliver personalized, secure, and efficient experiences while driving revenue growth and operational efficiency. ### 12. Easy to Use with a Smooth Flow from Ingestion to Unification **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** April 06, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Easy to use, and I like how smoothly the flow runs from ingestion through unification. The way we can connect with other systems is easy and the zero-copy allow us to get more thing without think about the storage capacity. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The calculator still needs some improvements so it can provide a more accurate forecast over time for credit consumption. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** The connections are easy to establish and sync. The way we can control the rules and apply them at scale is great. All the necessary steps to take and follow, from ingestion and transformation to unification, are easy to understand. It’s also straightforward to control the results and check that the information matches what I expect. ### 13. Salesforce Data Cloud: Powerful Customer Data Unification with Room for Simplified Adoption **Rating:** 5.0/5.0 stars **Reviewed by:** jasjit s. | Technical Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** October 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What stands out most about Salesforce Data Cloud is its ability to unify diverse customer data sources into a single, real-time customer profile. This comprehensive 360-degree view enables personalized marketing, sales, and service experiences driven by AI and analytics. Key strengths include: Seamless integration of data from multiple systems, including CRM, marketing, commerce, and more. Powerful real-time segmentation and audience activation for targeted campaigns. Built-in Einstein AI capabilities for predictive insights and next-best actions. Scalability and flexibility to tailor data models and workflows to unique business needs. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** One potential downside of Salesforce Data Cloud is its complexity and learning curve, especially for organizations new to data unification and customer data platforms. Setting up integrations, configuring data models, and leveraging AI-driven insights may require significant initial investment in time and skilled resources **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud addresses the challenge of fragmented customer data by unifying multiple data sources into a single, real-time customer profile. This integration enables organizations to deliver highly personalized and timely interactions across marketing, sales, and service channels. Benefits include: Enhanced Customer Insights: A comprehensive view helps in understanding customer behavior and preferences more accurately. Improved Personalization: Leveraging real-time data ensures tailored communications and offers, increasing engagement and loyalty. Increased Efficiency: Automating data consolidation reduces manual effort and minimizes errors, streamlining decision-making processes. Faster Responsiveness: Real-time insights support quicker response to customer needs, boosting satisfaction and retention. ### 14. Powerful Data Integration with Room for AI Enhancement **Rating:** 4.0/5.0 stars **Reviewed by:** Sunil T. | Director, Small-Business (50 or fewer emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the ability to add multiple streams of data using Salesforce Data 360 (formerly Data Cloud). This helps me get a better understanding of the customers by pulling in insights from various sources. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Sometimes the automating feature does not work, so it takes time to manually tag the data. It would be nice to have the data mapping improved using AI. Also, the initial setup was slightly complicated as it had a learning curve for data mapping. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to access and analyze data from multiple sources, giving us a better understanding of customers. ### 15. Comprehensive Data Management, but Needs Enhanced Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Rocky N. | Senior Sales Executive, Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the zero copy feature. It helps me reduce historical data costs. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I'd say the one to one, I guess, limitation. So one connecting only one data cloud to one Salesforce. Instance is a huge limitation. Ideally, being able to connect one data cloud to multiple Salesforce instances would be a major selling point. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 helps by ingesting data from multiple sources, establishing data streams, unifying customer data for real-time insights, and enabling personalization at scale. It assists in connecting, matching, and resolving data with reconciliation rules, empowering us to analyze customers on a unified level. ### 16. Evolving Tool with Potential, Pricing Needs Clarity **Rating:** 3.5/5.0 stars **Reviewed by:** Chetan A. | Associate Project Manager| Salesforce Consultant, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like that Salesforce Data 360 is operating at a very good speed. It's improved a lot over the last two years. I think this is the next big thing with the Salesforce platform. Without using Salesforce Data 360, staying relevant in the ecosystem would be challenging, as it's very important. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I think it's pricing model. It's a little confusing. It has a lot of variability in that. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 solves our need for a reference system without full master data management, providing insights on profile engagements and ecosystems for a holistic view. ### 17. Aggregate Data for Informed Decisions **Rating:** 4.5/5.0 stars **Reviewed by:** Hrushi M. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I think it's great that Salesforce Data 360 puts all the data together for me, allowing me to make some creative decisions. I also use reports and dashboards mostly from Salesforce Data 360, which I find valuable. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I think it would be more helpful if I could get more insights from other external systems that are related to the same account. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to view account details and metrics, and it helps me put all the data together, allowing for creative decisions. ### 18. 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. ### 19. 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. ### 20. Easy Access and Setup, But Duplication Needs Work **Rating:** 5.0/5.0 stars **Reviewed by:** Tanuj M. | Manager, National Collections, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the ease of access that Salesforce Data 360 offers, it makes using the platform straightforward. I find the validation feature valuable, which supports my work effectively. The initial setup was easy for my team, which made the transition smooth. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find dealing with duplication a bit frustrating. There could be improvements in how duplicates are managed, specifically making it easier to merge them. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 gives me an overview of a customer journey, helping with everything related to customers. ### 21. No-Code Segmentation and Einstein-Powered Insights for Faster Data Work **Rating:** 4.0/5.0 stars **Reviewed by:** Ashfhaq S. | Senior Consultant, Consulting, Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 offers no‑code segment builders, streaming insights, and Einstein‑powered capabilities—such as Einstein Segment Creation and vector search—that enable business users and analysts to work with data effectively, without relying heavily on data‑engineering support. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Pricing is high.Also configuration is bit complex. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data cloud mainly solving the problem of fragmented, “siloed” customer data by creating a single, real‑time Customer 360 that can be used across Sales, Service, Marketing, and AI workflows—without you having to build and maintain complex custom pipelines. ### 22. Unified View of In-App Chat, GenAI, and Crawled Content Data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The data consumption is a bit tricky to navigate in terms of costs associations and detailed breakdowns between Prod and Sandboxes to triage usage. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We use it to surface our messaging and support in-app web chats, as well as GenAI data, and we’re also looking to use it for storing content from crawling. It lets us view and report on data coming from these different sources in one place. ### 23. Efficient Data Insights, Challenging Setup **Rating:** 4.0/5.0 stars **Reviewed by:** rishi d. | Manager - CRM IT, Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the ease of use of Salesforce Data 360 (formerly Data Cloud) and how quickly we can achieve what we need. I appreciate having no data silos and being able to take real-time action. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Setup is not plug and play. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 for single customer view, real-time data insights, and advanced segmentation. I like the ease of use and how quickly we get the results, with no data silos and real-time action. ### 24. Our Single Source of Truth For Customer Data **Rating:** 3.5/5.0 stars **Reviewed by:** Tarun K. | IT Consultant, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What i like best about Salesforce Data Cloud is how it brings all of my company's data together in one place. In my day-to-day work, i use it to create unified customer profiles that give me a clear understanding of each customer, which makes it easier to make informed decisions and plan next steps. It gives me confidence that the data I'm working with is accurate and up-to-date. It helps me break down data silos, harmonize information from different systems and automate workflows without needing to manually pull data from multiple sources. The platform is straightforward to set up and get running and i rely on it daily to access real-time insights and manage my tasks efficiently. Integration with other salesforce apps is seamless and customer support is always responsive and helpful whenever i needed guidance. Using it has made my work faster, more organised and more impactful, allowing me to focus on delivering better outcomes for our customers. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** There's really nothing i dislike about Salesforce Data Cloud. The platform is constantly evolving with new features and improvements being released which keeps it exiting to learn and use. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud solves the challenge of fragmented and siloed data across multiple systems. In my work, it helps me unify customer data into a single source of truth, giving me a clear understanding of each customer. This allows me to make faster, data-driven decision, automate workflows and deliver more personalized engagement. By breaking down data silos and harmonizing information from all sources, it has improved my efficiency, productivity and confidence in the insights i use every day. ### 25. 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. ### 26. Salesforce Data Cloud Excels at Unifying Customer Data for Personalized Engagements **Rating:** 5.0/5.0 stars **Reviewed by:** Anubhav C. | Enterprise Data & AI Specialist, Information Technology and Services, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** (1) Unified Customer Profiles: Data Cloud’s ability to harmonize data from different sources into a single, actionable Customer view is a standout feature, enabling personalized interactions across sales, service, and marketing. (2) AI powered insights: Integration with Salesforce AI provides predictive analytics and real time insights, helping businesses forecast, understand customer behavior, and reduce churn. (3) Scalability and Integration: The platform’s zero-ETL architecture and out-of-the-box connectors allow seamless data flow from external systems, making it adaptable for diverse business needs. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** (1) High Cost for Smaller Organizations: The platform’s pricing can be prohibitive for smaller businesses, with premium features often requiring higher tier subscriptions. (2) Complex Configuration Process: Setting up integrations and custom workflows can be time-consuming and may require expert assistance, increasing implementation costs. (3) Limited Offline Capabilities: The platform's reliance on real-time data processing can be a drawback for organizations needing robust offline management. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce data cloud offers a robust platform for unifying customer data across channels, enabling real-time insights and personalized experiences. It excels in consolidating disparate data sources into a 360° customer view, which is critical for businesses aiming to leverage AI and automation. However, its complex navigation and occasional integration delays can hinder the user experience, particularly for new users. The platform’s strengths lie in its capabilities and AI integration, but it might require some initial training and regular reviewing of resources to maximize its potential. ### 27. Audi Connect Manager **Rating:** 4.5/5.0 stars **Reviewed by:** Devi N. | Audi Connect Manager , Mid-Market (51-1000 emp.) **Reviewed Date:** April 17, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It helps us consolidate dealer concerns in one place. At VW Canada, we use Salesforce for both dealer support and customer support, which makes it easier to manage everything in a single system. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It takes quite a bit of training to be able to use the platform to its full potential. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It helps consolidate customer and dealer concerns, which makes it easier to identify trends in what’s working and what isn’t. ### 28. Efficient Data Integration with a Hidden Cost **Rating:** 4.0/5.0 stars **Reviewed by:** Harpreet K. | Sr. Salesforce System Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like Salesforce Data 360 (formerly Data Cloud) for its ability to group and transform data, which is a powerful feature for us. Our legacy data is unstructured and not formatted consistently, so this capability to transform and map with Salesforce is really beneficial. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Hidden cost **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to integrate legacy platforms, solve data mapping and structuring issues, and transform unstructured data to be consistent with Salesforce. ### 29. 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 ### 30. Unified Data Hub with High Transaction Costs **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how unified the data is in Salesforce Data 360, because it makes it easier for us to query and process that data in other systems. I also appreciate how straightforward the initial setup was, especially with the connectors. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The cost is my main issue. It feels expensive per transaction, especially once the multipliers are applied. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to retain user information and make sure all my data stays in the right place. Having everything unified also makes it easy for me to query the data and process it in other systems when I need to. ### 31. 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. ### 32. 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. ### 33. Powerful Customer Insights with Salesforce Data Cloud, but Setup and Costs Can Be Challenging **Rating:** 5.0/5.0 stars **Reviewed by:** Aswini G. | Senior Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** October 16, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I appreciate most about Salesforce Data Cloud is how it brings together data from various sources to form a unified, real-time customer profile, offering a comprehensive 360° view of each person. Its AI-powered segmentation and activation features make it possible to deliver highly personalized marketing and engagement. I also value the way it integrates smoothly with the wider Salesforce ecosystem, which supports more intelligent automation and improved decision-making across sales, service, and marketing. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I dislike about Salesforce Data Cloud is that initial setup and data mapping can be complex, especially when dealing with legacy or siloed systems. It also requires strong data governance and technical expertise to maintain accuracy and prevent duplication. Additionally, licensing and storage costs can become significant as data volume and use cases expand. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data Cloud solves the problem of disconnected and fragmented customer data by bringing information from multiple systems into a single, unified profile. It enables real-time insights, smarter segmentation, and personalized engagement across every touchpoint. This benefits me by providing a deeper understanding of customers, more effective targeting, and improved business decisions driven by accurate, up-to-date data. ### 34. 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. ### 35. Unified 18 Legacy Systems into Salesforce with Data 360 **Rating:** 4.0/5.0 stars **Reviewed by:** Alisha S. | Senior Director, Salesforce Applications, Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 prompted me to get a data warehouse that helped me bring data form over 18 legacy systems in one screen in Salesforce **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Downside is basically the cost point of it It makes it hard for no. Profit organizations to use data 360 **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Solving the biggest use case of customer data platform in Salesforce for our customer support reps ### 36. Facilitate Audience Segmentation with Ease **Rating:** 5.0/5.0 stars **Reviewed by:** Jaderson J. | Head of Presales & Solutions Architecture, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the ease of implementation and also the ease of use for the business area to segment through the data. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I see that the training issue could be improved. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 for profile unification and identity resolution, centralizing all my data on a single platform, which makes audience segmentation easier. ### 37. Effortless Setup, Powerful Data Management **Rating:** 4.5/5.0 stars **Reviewed by:** Mateo U. | Math Center Tutoring Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like how easy Salesforce Data 360 (formerly Data Cloud) is to use. I find the zero copy of data feature very important as data needs to be updated regularly. The initial setup was also very easy. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Nothing I can think of **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 solves data management issues with zero copy of data, making data updates seamless. ### 38. A Unified Data View That Unlocks New Insights and Business Value **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Non-Profit Organization Management | Enterprise (> 1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the way of unifying all my data, in place, to give me a full picture of my data and bring in new insights, opportunities and business value. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The biggest drawback for me is the cost of Data 360. It makes it hard to justify the ROI my organization pays for, especially when I compare it with other cloud providers like Snowflake. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It combines all the data we need to give my org a full picture, and it helps us uncover new insights and spot trends. ### 39. Very Helpful for Data Abstraction and Bit Masking **Rating:** 5.0/5.0 stars **Reviewed by:** Rajni P. | Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It’s been very helpful for data abstraction and bit masking, and it makes those tasks easier to manage. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I don’t think anything i dislike anything about it. Everything is best. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** As I said the data abstraction and bit masking are very helpful in solving the problems like hiding sensitive information. ### 40. Unifies and Organizes All Our Data in One Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Pavan S. | Salesforce Integration Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It helps unify and organize data by bringing everything together on a single platform, making it easier to structure information in one place. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** We have to map the data structure from all sources manually, since there’s no auto-mapping. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Unifying data from all sources into a single platform. ### 41. 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. ### 42. Data Cloud: New Cloud of AI Era **Rating:** 5.0/5.0 stars **Reviewed by:** Mukesh R. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 15, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce Data cloud can do best to ingest and harmony your data from multiple sources. It's easy to connect with multiple data sources. Salesforce provides good support in-case you face any issue. Data cloud is now my daily go to tool for viewing performance of my agentforce agents. Data cloud is very easy to implement and it provides out of the box connecters for ease of integration. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Sometimes while making vector embeddings for data library or files, it comes up with empty chunks, anyway you can always rebuild from search index tab. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce data cloud is solving problem of manging duplicate data for customers, It brings and unify multiple data into unique. ### 43. Salesforce data cloud helps to unify the data across multiple platform **Rating:** 4.5/5.0 stars **Reviewed by:** mamatha h. | Senior Quality Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** September 11, 2025 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** 1. I have liked how effortlessly we can ingest the data from different sources and how the data is being unified and also segmenting the data based on requirement. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Data mismatch when we inject the data from snowflake and also we don't have option to download the data from data explorer or profile explorer **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** 1.I work for a company called Ecolab which basically provide services in the cleaning, purification and water treatment industry hence we have lot of customers maintained in different systems . With the help of data cloud we are creating a single view of contact and activating to marketing cloud to provide personalized experience for each customer . ### 44. Salesforce Data 360 Handles Massive Data Efficiently **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Simply put, Salesforce Data 360 is great at handling intimidatingly large amounts of data efficiently and effectively. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The pricing model is somewhat volatile if managed incorrectly, and it’s a bit difficult to implement- the training required to use it was a lot for new hires. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Again, Salesforce Data 360 is great for large amounts of data- for example, I had to use it in the past to manage and store tens of thousands of student records. ### 45. D360 Is Simple to Use and Easy to Implement **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I think its much simpler to use, understand and even implement as compared to sfmc. I have been. Marketing cloud user and it has been a bit of challenge initially but D360 is easy **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Nothing much so far but we are currently comparing data segments from old system to mew D360 and it felt a bit time consuming **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Its solving my Loyalty cloud project implementation by pulling right data from for Marketing Cloud and SfLM customers ### 46. Great 360° User View, but Too Costly and Click-Heavy with a Buggy UI **Rating:** 2.5/5.0 stars **Reviewed by:** Vijay R. | Salesforce Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Ability to connect data from multiple systems and create a 360 view of the users **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Cost. So much credits and quite not easy to analyze Too many clicks. Buggy UI **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It provides a 360-degree view of customer data. ### 47. Seamless 3rd-Party Data Imports for Building Individual Profiles **Rating:** 5.0/5.0 stars **Reviewed by:** Parth S. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 16, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Ability to bring data from 3rd party systems, and build individual profile **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** We need more connectors support and agentic layer to help figure out stuff **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I have single source of the truth of our end user ### 48. 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. ### 49. Real-Time Data in One Place, But Setup and Licensing Costs Add Up **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** real time data from other sources. one place to view instead of having to go login to multiple systems. saves time and money **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Setup took some time. also required tweaking the different parts to get everything we wanted. Also expensive so we have limited licenses. more users at my company can use this but not in budget. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Bringing in all customer data into one system. ### 50. Data Consolidation Is Great, But the Overall Experience Needs Work **Rating:** 2.5/5.0 stars **Reviewed by:** Shailesh T. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Ability to consolidate data and create profiles **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Limited documentation for features and product capabilities. There are also many bugs in the software **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It helps me create unique profiles for customers. ## 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?section=pricing&secure%5Bexpires_at%5D=2026-05-17+01%3A52%3A07+-0500&secure%5Bsession_id%5D=57d41ea8-2f90-4f3f-a77d-e98165346cbf&secure%5Btoken%5D=c3491f4271411e54fd53342ccc14c21ecfe465a268b2aeadf0d821e1f23527ea&format=llm_user) ## Salesforce Data 360 (formerly Data Cloud) Integrations - [Agentforce 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Agentforce Marketing (formerly Salesforce Marketing Cloud)](https://www.g2.com/products/agentforce-marketing-formerly-salesforce-marketing-cloud/reviews) - [Agentforce Sales (formerly Salesforce Sales Cloud)](https://www.g2.com/products/agentforce-sales-formerly-salesforce-sales-cloud/reviews) - [Agentforce Service (formerly Salesforce Service Cloud)](https://www.g2.com/products/agentforce-service-formerly-salesforce-service-cloud/reviews) - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Amazon Simple Storage Service (S3)](https://www.g2.com/products/amazon-simple-storage-service-s3/reviews) - [AWS Cloud](https://www.g2.com/products/aws-cloud/reviews) - [AWS Cloud Development Kit (AWS CDK)](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Google Analytics](https://www.g2.com/products/google-analytics/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Google Cloud Storage](https://www.g2.com/products/google-cloud-storage/reviews) - [Microsoft 365](https://www.g2.com/products/microsoft365/reviews) - [NetSuite](https://www.g2.com/products/netsuite/reviews) - [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Pipedrive](https://www.g2.com/products/pipedrive/reviews) - [Salesforce Agentforce](https://www.g2.com/products/salesforce-agentforce/reviews) - [Salesforce B2C Commerce](https://www.g2.com/products/salesforce-b2c-commerce/reviews) - [Salesforce Marketing Cloud Personalization (formerly Interaction Studio)](https://www.g2.com/products/salesforce-marketing-cloud-personalization-formerly-interaction-studio/reviews) - [ServiceNow IT Service Management](https://www.g2.com/products/servicenow-it-service-management/reviews) - [Shopify](https://www.g2.com/products/shopify/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Twilio](https://www.g2.com/products/twilio/reviews) - [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 **Data Integration** - 1st-Party Data Integration - 2nd-Party Data Integration - 3rd-Party Data Integration - Offline Data Integration - Mobile Data Integration - Data Export Tools **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Data Sourcing** - Data Enrichment - Expandability - Content Marketing - Multiple Devices **Audiences** - Audience Insights - Influencer Identification - Buyer Personas - Segmentation **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Management** - Hierarchy Management - Reference Data Management - Data Lineage - Metadata Management **Agentic AI - Firewall Software** - Autonomous Task Execution - Adaptive Learning **Agentic AI - Data Management Platform (DMP)** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making **Data Analysis & Optimization** - Audience Segmentation - Recommendations - Standard Dashboards - Custom Reports **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Intelligence** - Marketing Metrics - Predictive Modeling - Recommendation Engine **Data Analysis** - Network Analysis - Dashboards - Visualizations - Advanced Filtering **Security** - Access Control - Roles Management - Compliance Management **Functionality ** - Multi-Domain - Match & Merge - Relationship Mapping - User Interface **Security** - Data Governance - Data Masking **Platform** - Data Permissions - User, Role, and Access Management - Performance and Reliability - Enterprise Scalability - Internationalization **Data Quality** - Data Preparation - Data Distribution - Data Unification **Administration** - Marketing Integrations - Ad Integrations - Data Exporting **Maintainence** - Data Quality Management - Policy Management **Generative AI** - AI Text Generation - AI Text Summarization **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 ## Top Salesforce Data 360 (formerly Data Cloud) Alternatives - [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews) - 4.5/5.0 (554 reviews) - [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) - 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