--- 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 316 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: 316 scale: '5' date_modified: '2026-08-05' 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:** 316 ## About Salesforce Data 360 (formerly Data Cloud) Data 360 is the system of context for the Agentic Enterprise. Natively built on the Salesforce platform, it connects every source of data you have—from data lakes to warehouses—creating a unified view of your business that your teams and AI agents can act on. And with Zero Copy capabilities, you get all of this without the cost or complexity of moving a single byte of data. Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed. This allows you to immediately personalize every customer experience, unlock connected journeys, and power smarter AI agents grounded in trusted business context. Data 360 activates your trusted context across every surface and every agent in your enterprise—wherever the work happens. ## Salesforce Data 360 (formerly Data Cloud) Pros & Cons **What users like:** - Users value the **real-time platform integration** of Salesforce Data 360, enhancing data connectivity and decision-making across ecosystems. (79 reviews) - Users value the **ease of use** in Salesforce Data 360, enhancing user experience and simplifying data management. (56 reviews) - Users appreciate the **easy integration** of Salesforce Data 360, streamlining workflows and enhancing data accessibility across teams. (53 reviews) - Users value the **effective data aggregation** of Salesforce Data 360, unifying diverse sources into a real-time customer profile. (39 reviews) - Users value the **seamless integrations** with various platforms, enabling unified customer profiles and enhanced audience targeting. (38 reviews) - Data Integration (36 reviews) - Data Centralization (35 reviews) - Integration Capabilities (34 reviews) - Users appreciate the **easy integrations** of Salesforce Data Cloud, enabling seamless data access and streamlined workflows. (33 reviews) - Data Quality (31 reviews) **What users dislike:** - Users find the **steep learning curve** of Salesforce Data 360 challenging, hindering quick understanding and effective use. (53 reviews) - Users find the **cost burdens** of Salesforce Data 360 to be high due to extensive data integration and usage demands. (44 reviews) - Users experience a **difficult learning** curve with Salesforce Data 360, making setup and usability quite challenging. (37 reviews) - Users find the **implementation complexity** challenging, particularly for novices, affecting overall user experience and adoption. (36 reviews) - Users struggle with the **complex setup** of Salesforce Data 360, facing steep learning curves and extensive training needs. (34 reviews) - Data Management Issues (25 reviews) - Difficult Setup (25 reviews) - Users note a **steep learning curve** with Salesforce Data Cloud, making it challenging for beginners to navigate effectively. (25 reviews) - Complex Implementation (24 reviews) - Setup Difficulty (24 reviews) ## Salesforce Data 360 (formerly Data Cloud) Reviews ### 1. 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. ### 2. 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. ### 3. Powerful Segmentation and Identity Resolution, but Data Cloud Connector Setup Needs Clarity **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Segmentation Identity resolution Connectors **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Data cloud connectors setup steps , especially for beta less documenttation/ video/ Recive auto reply from saleforce support **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** duplicate records tracking records keep in touch with customer email automation based on segmentations ### 4. Data Cloud: The Best Data Tool for CRM **Rating:** 4.0/5.0 stars **Reviewed by:** Júlio Cezar d. | Especialista em Arquitetura de Solução, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** In my opinion, Data Cloud is the best data tool to use for CRM. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It could be more headless, and the deployment process from sandbox to production feels strange. Also, it doesn’t pick up data stream connections properly. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Identity resolution feels slow and somewhat limited, especially when I’m trying to use it for purposes outside of CRM. ### 5. Excellent at Correlating Data from Multiple Sources in One Place **Rating:** 4.0/5.0 stars **Reviewed by:** Billy S. | Groundworker, Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It does a great job of correlating all of our data from various sources and bringing it together in one place. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The setup can be a bit tedious, and it can feel complicated to navigate through everything. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Having all of our data in one place has been very helpful. ### 6. Valuable Single Source of Truth, But Training Is Essential **Rating:** 3.5/5.0 stars **Reviewed by:** Adam D. | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** We find there is tremendous value in a single source of truth for all of our data. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I find that with lots of training we have been able to move data 360 in the direction we need it to go but the training was essential. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It gives our team the ability to follow the customer journey ### 7. Flexibility and Good Integration, But Connections Could Be Improved **Rating:** 5.0/5.0 stars **Reviewed by:** Leydy Yohana V. | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the flexibility of Salesforce Data 360. I also appreciate its integration with other platforms like Marketing Intelligence and Tableau, which significantly enhances the experience. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It wasn't so simple to make the connections. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I use Salesforce Data 360 to create a complete view of customer behavior and solutions for creating segmented and targeted audiences. ### 8. Unified Profile Linkage Delivers a True 360° Customer View **Rating:** 4.0/5.0 stars **Reviewed by:** Angus M. | Marketing Technologist, Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The unified profile linkage helps preserve all source data across your systems while still giving 360 view of your customer **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Definitely a complex system, needs heavy technical skills to support and maintain **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Unifying our data across all systems; helps make sure we are saying the same things cross functionally and optimizing the customer experience ### 9. Data Cloud Unified Our Siloed Data for Better Marketing and Reporting **Rating:** 5.0/5.0 stars **Reviewed by:** Suraj dutt C. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** We have lot of data in silos, like in Snowflake CRM and on website. Data cloud helped integrate all the data at one place and unify them. Then we use this data for downstream Marketing cloud and reporting **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Sometimes, there are glitches and snags, like when activating subscriberkey to Marketing cloud. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Unification and downstreaming. ### 10. Powerful User Segmentation and Insight Dashboards for Smarter Marketing **Rating:** 4.0/5.0 stars **Reviewed by:** Jim T. | Associate Director - Digital Engagement and Customer Experience, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the ability to create segmented list of users so we can target our marketing better. Also like the calculated insight dashboard. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The time to implementation has taken us much longer than we anticipated **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It is allowing us to unify all of our customer information from multiple disparate systems into one section ### 11. 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. ### 12. Exploring the Potential of Data 360 **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 looks very promising and can really help us unify and activate customer data across systems. All the sessions I attended at Salesforce Connections were very informative and provided great insights into its capabilities and future potential. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** While Data 360 is very promising, some of the concepts and capabilities can feel complex for new users. I would have appreciated more hands-on demonstrations and deeper technical examples to better understand implementation and day-to-day usage. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data 360 eliminates data silos and provides a single source of truth for customer data. ### 13. 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. ### 14. 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. ### 15. 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. ### 16. Zero-Code Data Visibility and Easy Marketing Segmentation **Rating:** 5.0/5.0 stars **Reviewed by:** Elizabeth S. | Owner, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Zero code copy ability to see data the ability to create segments for marketing purposes easily. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The biggest drawback is the conception based pricing. If you are a company with a lot of data it can be very costly. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data visibility, easy segmenting, eliminates the need for IT support. ### 17. 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. ### 18. Insightful Data 360 for Connecting Enterprise Data Across Sources **Rating:** 4.0/5.0 stars **Reviewed by:** Vinay A. | Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 24, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Data 360 is very insightful, and it lets us connect enterprise data from different sources. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I didn’t find anything where I dislike this feature **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** This can benefit enterprises with their organized and unorganised data in different source systems ### 19. Salesforce Data 360: Easy to Use from Day One **Rating:** 4.5/5.0 stars **Reviewed by:** Brandi B. | Enterprise (> 1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** What I like best about Salesforce Data 360 is the ease of use. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I have not used Salesforce Data 360 long enough to find anything I dislike. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** We are moving from a (very old) CRM that had multiple data sources to Salesforce, so the possibilities seem endless. ### 20. 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. ### 21. User-Friendly Setup, Robust Data Handling **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User | Enterprise (> 1000 emp.) **Reviewed Date:** June 22, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like that Salesforce Data 360 is mostly clicks, not code when setting up, making it very user-friendly. I also appreciate how it offers zero-copy from other systems when dealing with large volumes of data. The initial setup is very straightforward by using out-of-the-box setups and guides. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The consumption model can be difficult to understand. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It allows us to store unstructured data for our Agentforce chatbot to read and offer automated answers to our customers. ### 22. Simple Data Integration, Mapping, and Activation Made Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Thomas S. | Digital Marketing Leader - Marketing Technology, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The simplicity of being able to integrate and map data, and how easily you can segment and activate it. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The cost model can be unwieldy and escalate quickly if not properly monitored. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Being able to unify various data silos around a single view of the customer. ### 23. 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. ### 24. Powerful for Large Data Sets, Insights, and Batch Transformations **Rating:** 4.5/5.0 stars **Reviewed by:** Mark B. | Salesforce Solution Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Managing large data sets with calculated insights and batch transformationa **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Doesn’t always live up to the hype of zero-copy; for large transactional volumes that require good amount of filtering it falls flat **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Marketing segmentation with consent though due to internal complexities hasn’t been fully implemented. ### 25. Seamless System Integration for Better Lead Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Lyly F. | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love that we can integrate all the system to get information about lead **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Mmm, maybe some segmentation features require technical knowledge. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** I like having all my data in one place, and I’d also like the option to integrate it with WhatsApp. ### 26. 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 ### 27. Full Salesforce Data Access for Account Engagement Customers **Rating:** 5.0/5.0 stars **Reviewed by:** Yvette M. | CEO, Management Consulting, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability for Account Engagment customers to access and use all SF data **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The UI is a bit too technical for the average marketer to build segments anf data graphs. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Data silo -- better data access Plus usable data with unification ### 28. 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. ### 29. Effortless Multi-Source Data Unification for Cleaner Contact Consolidation **Rating:** 5.0/5.0 stars **Reviewed by:** Carrie F. | Marketing Automation Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The ability to unify data from multiple sources, takes the gas work out of consolidating contact information **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** At this point there's nothing to not like! **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** It's giving us the ability to bring all of our data together ### 30. Seamless Data Unification for Powerful Reporting and Insights **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It seamlessly brings multiple structured and unstructured data sources into a single system, unifying them for reporting and insights that can later be activated or ingested by other systems. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** I don’t like the level of complexity involved with the different activations, even though they’re very convenient and practical for more complex segmentations and personalization. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** The main benefit—and the core problem it solves—is the ability to unify individuals across siloed systems and all kinds of sources. ### 31. Great Out-of-the-Box Data Model, but Workflows Take Too Many Clicks **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The way its out of the box data model captures many common customer attributes and touchpoints across industries. This enables quick wins out of the box instead of custom configurations. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Way too many click required in a workflow. I am constantly going back to a main tab and clicking through many screens to get to where I need to go. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Giving a click not code solution to building customer segments for a marketing team. ### 32. 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. ### 33. 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. ### 34. 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. ### 35. Flexible Salesforce Integrations That Just Work **Rating:** 5.0/5.0 stars **Reviewed by:** Evelyn G. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I appreciate the flexibility of integrations, both internal and external, within the Salesforce environment. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** It can feel a bit complex when I’m trying to set up something custom. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** The agentic functionality creates creative segments and campaigns. ### 36. 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. ### 37. 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 ### 38. 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. ### 39. Centralized Core Platform, but External Connector Setup Is Complex **Rating:** 3.5/5.0 stars **Reviewed by:** Karishma S. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Everything is centralized and on core which makes it extremely easy to govern **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The external credentials, connector set up is far more complex **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Bring data from different sources like marketing, sales etc in one place ### 40. Real-Time Data Governance with Zero Cloud Capacity **Rating:** 5.0/5.0 stars **Reviewed by:** David R. | Prime Account Executive Commercial (Digital, Professional Services), Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The zero cloud capacity to foster data governance while utilizing data in real time. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Pricing and implementation concerns. Pricing is fine if ROI is shown. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Legacy data unification without removing our current tech stack. ### 41. 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. ### 42. Greater knowledge and control of my clients' data **Rating:** 5.0/5.0 stars **Reviewed by:** Diana Paola R. | Consultor SAP Técnico, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** It allows me to have greater knowledge and control over my clients' data and their movements. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Simpler integration with Google connectors. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** 360 knowledge of my clients and their consumption ### 43. Great benefits from this tools to a really large company such as Claro ecuador **Rating:** 4.0/5.0 stars **Reviewed by:** Pedro I. | Jefe de comunicación y medios digitales, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** The way we can connect all tha company arquitecture data and use it to make decisions. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The complexity and the partnership needed to fulfill correct integration. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Knowing the journey from my customers ### 44. New excellent environment and seamlessly connected integrations **Rating:** 5.0/5.0 stars **Reviewed by:** Luz V. | Coordinadora CRM , Enterprise (> 1000 emp.) **Reviewed Date:** May 25, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I like the whole new environment and how you can connect all the integrations. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Actually, nothing. Everything is easy and simple; I haven't had any problems. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** There is a lack of a direct connection to the GEE API. ### 45. Powerful Multi-Platform Corporate Data Consolidation **Rating:** 5.0/5.0 stars **Reviewed by:** Hyman T. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Ability to consolidate corporate data across multiple platforms **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The training to be able to use it is massive **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Access via i primary entry point while view data across platforms ### 46. Great Integration and Clean Room Sharing, but Too Many Fields **Rating:** 3.5/5.0 stars **Reviewed by:** April D. | Membership and Environmental Programming Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** I love the integration and clean room data sharing. This is based on the demo. **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** The quantity of info and fields. I feel like im constantly scrolling. **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** N/A ### 47. 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. ### 48. 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. ### 49. 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. ### 50. Customization and easy integrations that make the difference **Rating:** 4.5/5.0 stars **Reviewed by:** João E. | Analista de Testes, Enterprise (> 1000 emp.) **Reviewed Date:** June 03, 2026 **What do you like best about Salesforce Data 360 (formerly Data Cloud)?** Customization and ease in integrations **What do you dislike about Salesforce Data 360 (formerly Data Cloud)?** Pricing format for the areas to achieve complete adherence **What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you?** Integrations and customization, consent management, and data management ## 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?page=2&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-05+23%3A19%3A39+-0500&secure%5Bsession_id%5D=a7fd9041-95fb-4d48-bf1a-206b525ce717&secure%5Btoken%5D=28815f35ed1ecdbaaca27800ca251c46349ce8139a4f58452a857202092bf975&format=llm_user) ## Salesforce Data 360 (formerly Data Cloud) Integrations - [Act!](https://www.g2.com/products/act/reviews) - [ActiveCampaign](https://www.g2.com/products/activecampaign/reviews) - [Act-On](https://www.g2.com/products/act-on/reviews) - [Acumatica](https://www.g2.com/products/acumatica/reviews) - [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) - [Adobe Commerce (formerly Magento Commerce)](https://www.g2.com/products/adobe-commerce-formerly-magento-commerce/reviews) - [Adobe Experience Manager](https://www.g2.com/products/adobe-experience-manager/reviews) - [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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[Microsoft 365](https://www.g2.com/products/microsoft365/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [NetSuite](https://www.g2.com/products/oracle-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 Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Salesforce Marketing Cloud Personalization (formerly Interaction Studio)](https://www.g2.com/products/salesforce-marketing-cloud-personalization-formerly-interaction-studio/reviews) - [SAP ECC](https://www.g2.com/products/sap-ecc/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) - [WebsiteBox](https://www.g2.com/products/websitebox/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 Cleansing - Data Extraction - Third-Party Integrations - Data Verification - Information Governance - Data Capture and Transfer - AI Copilot - Customizable Reports - Data Migration - Behavior Analytics - Real-Time Reporting - Interactive queries - Audit Trail - Multiple Data Sources - Document Storage - Access Controls/Permissions - User Management - AI/Machine Learning - Master Data Management - Task Scheduling - Data Import/Export - Monitoring - Customer Database - Audit Management - Reporting/Analytics - Data Visualization - Collaboration Tools - Workflow Management - Full Text Search - Compliance Management - Generative AI - Data Quality Control - Data Connectors - Automatic Backup - Activity Tracking - Activity Dashboard - Data Security - Data Analysis Tools - Data Synchronization - Metadata Management - Dashboard Creation - Visual Analytics - Secure Data Storage - Data Integration - Database Support **Data Integration** - 1st-Party Data Integration - 2nd-Party Data Integration - 3rd-Party Data Integration - Offline Data Integration - Mobile Data Integration - Data Export Tools - Collaboration Tools - Real-Time Data - Ad Network Integration **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Data Sourcing** - Data Enrichment - Expandability - Content Marketing - Multiple Devices - Email Marketing - Multi-Channel Marketing - Real-Time Data **Audiences** - Audience Insights - Influencer Identification - Buyer Personas - Segmentation **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Management** - Hierarchy Management - Reference Data Management - Data Lineage - Metadata Management - Real-Time Data - Workflow Management - Process Management - Catalog Management - Compliance Management - Multi-Channel Management **Agentic AI - Firewall Software** - Autonomous Task Execution - Adaptive Learning - AI/Machine Learning **Agentic AI - Data Management Platform (DMP)** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Proactive Assistance - Decision Making - Campaign Planning **Data Analysis & Optimization** - Audience Segmentation - Recommendations - Standard Dashboards - Custom Reports - Campaign Segmentation **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring - Real-Time Monitoring **Intelligence** - Marketing Metrics - Predictive Modeling - Recommendation Engine **Data Analysis** - Network Analysis - Dashboards - Visualizations - Advanced Filtering **Security** - Access Control - Roles Management - Compliance Management **Functionality ** - Multi-Domain - Match & Merge - Relationship Mapping - User Interface - Data Mapping **Security** - Data Governance - Data Masking **** - Engagement Tracking - Contact Management - Customer Journey Mapping - Generative AI - API - A/B Testing - Lead Generation - Data Integration - Customer Activity Tracking - Activity Dashboard - Activity Tracking - Campaign Segmentation - Lead Capture - Contact Database - Campaign Management - Behavior Tracking - Real-Time Analytics - Email Management - Lead Qualification - Reporting & Statistics - Template Management - Alerts/Notifications - Predictive Analytics - Surveys & Feedback - Personalization - Campaign Planning - Third-Party Integrations - Behavioral Analytics - Email Tracking - Campaign Analytics - Customer Segmentation - Multi-Channel Communication - Lead Management - Channel Management - AI Copilot - Audience Targeting - GDPR Compliance - Customer Profiles - Customer Database - Multiple Data Sources - Event Triggered Actions - Tagging - Customizable Templates **Platform** - Data Permissions - User, Role, and Access Management - Performance and Reliability - Enterprise Scalability - Internationalization - Advertising Management - Performance Management - Campaign Management - Data Storage Management - Customer Experience Management **Data Quality** - Data Preparation - Data Distribution - Data Unification **Administration** - Marketing Integrations - Ad Integrations - Data Exporting **Maintainence** - Data Quality Management - Policy Management - Data Storage Management **** - Contact Database - AI Copilot - Data Migration - Engagement Tracking - Data Visualization - Audience Targeting - Data Capture and Transfer - Competitive Analysis - Generative AI - Reporting/Analytics - Data Synchronization - CRM - Content Library - Data Mapping - Customer Journey Mapping - API - SMS Marketing - Data Recovery - Drip Campaigns - Customer Database - Email Marketing - Data Profiling - Multi-Channel Marketing - Real-Time Analytics - Click Tracking - Behavior Tracking - Real-Time Reporting - Data Transformation - Multi-Campaign - A/B Testing - Campaign Analytics - Data Verification - Data Extraction - Behavioral Analytics - Multiple Data Sources - Reporting & Statistics - ROI Tracking - Predictive Analytics **** - Reporting/Analytics - Alerts/Notifications - Multiple Data Sources - Data Migration - Third-Party Integrations - Access Controls/Permissions - Monitoring - Data Quality Control - Data Profiling - Collaboration Tools - AI Copilot - Performance Metrics - Role-Based Permissions - Drag & Drop - Data Connectors - Audit Trail - Data Verification - Data Extraction - Deduplication - Visualization - Data Capture and Transfer - Data Import/Export - API - Generative AI - Activity Tracking - Data Visualization - Activity Dashboard - Version Control **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Agentic AI - Audience Intelligence Platforms** - Autonomous Task Execution - Cross-system Integration - Adaptive Learning - Proactive Assistance **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making - Third-Party Integrations - Active Directory Integration **** - AI Copilot - Reporting & Statistics - Data Migration - Archiving & Retention - Data Capture and Transfer - Audit Trail - Data Synchronization - Single Sign On - Customizable Reports - Data Profiling - Authentication - Role-Based Permissions - Tagging - Secure Data Storage - Data Security - HIPAA Compliant - SSL Security - Risk Assessment - Data Mapping - Search/Filter - Self Service Portal - Multiple Data Sources - Document Storage - API - Activity Tracking - Automatic Backup - Visual Analytics ## Top Salesforce Data 360 (formerly Data Cloud) Alternatives - 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