--- 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 305 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: 305 scale: '5' date_modified: '2026-07-12' 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:** 305 ## 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 appreciate the **seamless platform integration** of Salesforce Data 360, enabling effortless data connectivity for all operations. (79 reviews) - Users appreciate the **ease of use** of Salesforce Data 360, allowing for efficient access to customer data in one place. (56 reviews) - Users value the **easy integration** of Salesforce Data 360, seamlessly connecting data across Salesforce platforms for improved workflows. (53 reviews) - Users value the **comprehensive data integration** of Salesforce Data 360, enabling a unified view for informed decision-making. (39 reviews) - Users value the **seamless integration** capabilities of Salesforce Data 360, enhancing their ability to unify customer data effectively. (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, impacting their initial setup and knowledge retention. (53 reviews) - Users find the **expenses quite high** , especially for large datasets and frequent real-time queries, impacting overall value. (44 reviews) - Users face a **difficult learning curve** with Salesforce Data 360, finding the setup and new terminology quite challenging. (37 reviews) - Users face **implementation complexity** , especially new users who struggle with understanding features and initial setup. (36 reviews) - Users face a **complex setup** with Salesforce Data 360, requiring extensive training and a steep learning curve. (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. Unifies Customer Data into Actionable Insights Across Salesforce **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Pablo C. | Agentforce Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** June 26, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 is how it helps unify customer data from different sources and turn it into actionable insights across Salesforce. I especially like that it can support more personalized experiences, better segmentation, and smarter automation by making data more connected, trusted, and usable for business teams. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** What I dislike about Salesforce Data 360 is that it can feel complex to set up and understand at first, especially when working with data ingestion, identity resolution, permissions, and activation. The platform is very powerful, but the learning curve can be steep, and sometimes the documentation or setup steps could be clearer for new users. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 is helping us solve the challenge of having customer and business data spread across different systems. One of the biggest benefits for me is identity resolution, because it allows us to unify records and create a more complete and trusted customer profile even when the data comes from multiple sources. It is also very useful for creating Calculated Insights that can drive actions both inside Salesforce and outside Salesforce, helping teams automate processes and make better decisions based on unified data. Finally, Data 360 is helping us a lot with data retrieval and vector databases, especially for Agentforce use cases, because it allows agents to have better context and provide more accurate and useful responses. ### 2. Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio Alexandre S. | Salesforce Architect, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Salesforce Data 360 has become one of the most valuable parts of the Salesforce platform because it helps connect fragmented customer data and turn it into something usable across sales, service, marketing, commerce, analytics, and AI experiences. The biggest value for me is not only that it centralizes data, but that it makes data actionable inside the Salesforce ecosystem. Instead of having customer information spread across CRM records, external databases, data lakes, marketing platforms, service interactions, and legacy systems, Data 360 gives teams a more complete and trusted customer view. From a UI and UX perspective, Data 360 is strong because it follows the Salesforce configuration-oriented experience. The interface for mapping, harmonizing, and activating data is easier to understand than many traditional enterprise data platforms. For business and architecture teams, the value is that we can visualize data streams, identity resolution, calculated insights, segments, and activations without depending only on deeply technical data engineering work. It still requires strong data governance and architecture discipline, but the user experience reduces friction between technical teams and business stakeholders. The integration capabilities are one of the main reasons Data 360 stands out. The ability to connect Salesforce clouds, external systems, data lakes, warehouses, web data, and other enterprise sources creates a practical foundation for Customer 360. I especially value the zero-copy approach because it helps reduce unnecessary data replication and supports more scalable architecture patterns. In real-world projects, this is important because many companies do not want to duplicate large volumes of sensitive or regulated data into Salesforce. Data 360 allows teams to access, harmonize, and activate data while keeping the broader enterprise data strategy intact. Performance is another important benefit. When designed correctly, Data 360 supports near real-time use cases where teams need timely context, such as service agents viewing recent interactions, marketing teams creating smarter audiences, or AI agents using trusted customer data to generate more relevant responses. The performance depends heavily on data model quality, ingestion strategy, identity rules, and activation design, but the platform provides the foundation needed for enterprise-scale personalization and decisioning. From a pricing and ROI perspective, Data 360 needs to be managed carefully because consumption-based pricing can become expensive if teams do not govern ingestion, segmentation, activation, and data usage. However, the ROI can be strong when the platform replaces duplicated integrations, reduces manual data preparation, improves campaign targeting, increases service efficiency, and enables trusted AI. The best value comes when Data 360 is treated as an enterprise data activation layer, not just another Salesforce add-on. Support and onboarding are solid when teams use Salesforce Trailhead, documentation, implementation accelerators, and partner expertise. That said, onboarding should not be underestimated. A successful implementation requires business alignment, data governance, security design, identity strategy, consent management, and a clear activation roadmap. The tool is powerful, but companies need experienced architects and data owners to define the right foundation. The AI and intelligence capabilities are where Data 360 becomes even more strategic. As Agentforce and Salesforce AI capabilities continue to evolve, trusted data becomes essential. AI is only as good as the data it can access, interpret, and act on. Data 360 helps provide that trusted layer by unifying customer context, creating calculated insights, and making enterprise data available for intelligent automation. Overall, Data 360 provides the most value when organizations want to move from disconnected CRM data to a real customer intelligence platform. Its strongest benefits are data unification, enterprise integration, zero-copy architecture, actionable insights, and AI readiness. It is not a simple plug-and-play tool, but when implemented with the right architecture and governance, it can significantly improve workflow efficiency, personalization, analytics, and the quality of AI-driven customer engagement. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Still the calculator is the thing to get more updates to provide better information about credits consumption, otherwise the system is very good **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 solves one of the biggest enterprise problems: fragmented customer data. In many organizations, customer information is spread across CRM, marketing platforms, service systems, websites, data warehouses, external databases, and legacy applications. Data 360 helps bring those sources together into a unified customer profile, making the data easier to understand, govern, segment, and activate across the Salesforce ecosystem. The biggest benefit is that teams can make decisions based on a more complete and trusted view of the customer. For example, service agents can see recent interactions, marketing teams can build more accurate audiences, and sales teams can understand customer behavior beyond standard CRM fields. This reduces manual work, duplicated integrations, and the need to switch between multiple systems. It also supports better personalization and AI readiness. With Data 360, customer data becomes more actionable for automation, analytics, segmentation, and Agentforce use cases. Instead of AI working from incomplete or disconnected information, it can use a more reliable data foundation. Overall, Data 360 benefits me by improving architecture consistency, reducing data silos, supporting real-time customer insights, and helping business teams turn enterprise data into practical actions inside Salesforce. ### 3. 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. ### 4. 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. ### 5. Efficient Data Unification with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Jo T. | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I use Salesforce Data 360 as the foundation for our Marketing Cloud campaigns. It makes it easier to unify duplicate records, ensuring we communicate with the right details in a contact's preferred way. Once configurations are set up, it's straightforward to see all the different channels a contact comes from, have their data in one place, and easily act on insights. We can consolidate duplicated contacts to avoid over-sending or conflicting communications. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It would be great to have an easier way to understand credit consumption when performing a specific action, like maybe a callout when about to run something or after the run of a query to know how many credits were consumed. It was complicated, especially the concepts of data dictionary, data transforms and DLOs to DMOs, but we got through it. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Salesforce Data 360 helps us unify duplicate records and manage communications efficiently, ensuring we send relevant messages. It consolidates contact information, providing insights from all channels. However, understanding credit consumption could be more user-friendly. ### 6. 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. ### 7. Game-Changing Real-Time Customer Data Unification for Personalized Journeys **Rating:** 4.5/5.0 stars **Reviewed by:** Carlos M. | Encargado de IT, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability to unify customer data from multiple sources in real time is a game changer. The native integration with Marketing Cloud and the Salesforce ecosystem makes it very powerful for building personalized customer journeys at scale. The Identity Resolution and calculated insights features are particularly valuable for our use cases **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The learning curve is steep, especially for teams transitioning from traditional CDP tools. Documentation can be inconsistent, and some advanced configurations require deep Salesforce expertise. Licensing costs can also be a barrier for mid-size organizations looking to adopt it. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It helps solve the challenge of fragmented customer data across multiple systems. By unifying data from CRM, marketing, and external sources into a single customer profile, we can activate more targeted and personalized campaigns. This has improved our team’s ability to deliver relevant experiences and make data-driven decisions faster. ### 8. .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. ### 9. 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. ### 10. Exciting Proactive Insights from Unified Data Sets **Rating:** 4.0/5.0 stars **Reviewed by:** Alex J. | Enterprise (> 1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The solution to having all data sets amalgamated into one is good but the ability to use this data in not only a reactive way but a proactive one is very exciting **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The additional licence cost for a company of our size feels very restrictive to getting the most out of all systems, plus there’s still a reliance on fixing the data in the long term which will delay the execution of the system **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Collecting all data sets together in order to have a clear view of pros and cons of the company issues we face with network problems and potential dig works etc. will make the end user’s job quicker and safer leading to a better customer experience ## 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/salesforce-data-360-formerly-data-cloud-review-5263251?section=pricing&secure%5Bexpires_at%5D=2026-07-12+16%3A08%3A58+-0500&secure%5Bsession_id%5D=82e829a8-a719-460c-ab15-5c381a697a84&secure%5Btoken%5D=7b4620dc677e9009c02cf69cd3293b1bb1aec18611b6c682eb3a88c4bb223081&format=llm_user) ## Salesforce Data 360 (formerly Data Cloud) Integrations - [Agentforce Financial Services (formerly Salesforce Financial Services Cloud)](https://www.g2.com/products/agentforce-financial-services-formerly-salesforce-financial-services-cloud/reviews) - 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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 (555 reviews) - [Tealium Customer Data Hub](https://www.g2.com/products/tealium-customer-data-hub/reviews) - 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