--- title: Salesforce Data 360 (formerly Data Cloud) Reviews meta\_title: 'Salesforce Data 360 (formerly Data Cloud) Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 319 reviews by the users' company size, role or industry to find out how Salesforce Data 360 (formerly Data Cloud) works for a business like yours. aggregate\_rating: rating\_value: 4.3 review\_count: 319 scale: '5' date\_modified: '2026-08-10' parent\_category: name: Marketing url: https://www.g2.com/categories/marketing --- # Salesforce Data 360 (formerly Data Cloud) Reviews & Product Details Visit Website 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 Instead of relying on outdated information, your employees and AI agents operate from a complete, real-time understanding of your business exactly when it’s needed.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. * * * Product Website Salesforce Data 360 (formerly Data Cloud) Seller [Salesforce](https://www.g2.com/sellers/salesforce) Discussions [Salesforce Data 360 (formerly Data Cloud) Community](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/discuss) Solution Type All-in-One Overview by Oleg Kulda Show More ## Pricing Pricing provided by Salesforce Data 360.... ### Consumption Credits $500.00 100000 Credits [ View More Pricing Information ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/pricing) ## Salesforce Data 360 (formerly Data Cloud) Integrations (50) What do users say about integrations? 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NM Nitin M. Tech Arch Assoc Manager Small-Business (50 or fewer emp.) 7/19/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Easy Setup for Connecting Systems and Activating Unified Data" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? Easy to set up connections with multiple external systems, unify data in one place, and quickly segment and activate it across multiple systems. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? Too many product issues. First, once fields are created in a datastream, we cannot delete them. Second, the error descriptions are not clear. For example, when trying to remove a field on the DLO, it lists a bunch of things to check (e.g., IR, Segments, Datagraph, etc.), but instead it should show the specific places where the field is actually being used. Third, many times it throws a system error without a proper message, such as: "Unexpected error, contact system administrator." Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Our client is an NGO, and they were struggling to figure out how to send acknowledgements to donors who had donated through various channels, partners, and other sources. Now, with the Data Cloud, we are ingesting data from multiple sources, unifying donor profiles, and sending acknowledgements for each donation. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerSource: Seller invite ![Vishal S.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vishal S.") VS Vishal S. Directo of Data and AI Information Technology and Services Small-Business (50 or fewer emp.) 8/2/2026 "Data Cloud Makes External Data Actionable with Unified Customer Profiles" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? What stands out most is how Data Cloud lets you unify data from outside the core Salesforce ecosystem and immediately make it actionable. On one engagement, we built an ingestion pipeline bringing Campaign Monitor engagement data into Data Cloud, then extended a Calculated Insight to incorporate that engagement data using email-based identity resolution — so email opens and clicks from a separate marketing platform become part of the same unified customer view as CRM and other source data, without needing custom integration code to reconcile identities across systems. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The credit consumption model, while powerful once you understand it, isn't always transparent upfront — mapping a given API call, segmentation run, or activation to its actual credit cost isn't obvious from the documentation alone, and the rate card is usage-type-level rather than granular enough to predict cost for a specific integration pattern before you're already running it in production. Getting a clear, contract-specific answer sometimes means going through an account executive rather than being able to self-serve the answer. Support responsiveness on complex, non-standard issues can also be slow — we had a multi-week case around an account-enrichment agent's behavior that required sustained back-and-forth to resolve, rather than a quick turnaround. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? The core problem with recent implmentation was fragmented customer data across systems — engagement data living in a separate marketing platform, transactional data in a CRM, and no reliable way to tie them to the same person without brittle, hand-built reconciliation logic. Data Cloud's identity resolution solves that by matching records across sources (in our case, using email as the resolution key) into a single unified profile, and calculated insights let you layer intelligence on top of that unified data — turning raw engagement history into a scored or ranked signal you can actually segment and act on, rather than a pile of disconnected events. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Seller invite HP Hemanth Kumar P. Mid-Market (51-1000 emp.) 7/13/2026 "Powerful Segmentation, Steep Learning Curve" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I really like the segmentation feature in Salesforce Data 360. Once the Data Model Objects (DMOs) are mapped cleanly, building and refreshing our six customer segments is fast and reliable. The identity resolution feature is another highlight as it helped us create a unified customer view from scattered CRM data, which was our main goal. I appreciate the Calculated Insights too, even with its quirks. It allows me to derive insights like preferred product categories directly in the platform, saving me from a lot of back-and-forth. The ability for segments like VIPs, sleeping customers, and category-specific buyers to stay live without manual list-pulling for every campaign saves significant time and improves targeting. We can act on actual purchase behavior rather than guesswork, making re-engagement easier. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The calculated insights SQL engine has some limitations - no subqueries, window functions, or DATEDIFF, and the workarounds like chaining three CIs together aren't documented anywhere. The initial setup isn't easy; there's a real learning curve, especially with mapping DLOs to DMOs and configuring identity resolution rules. It took a fair bit of trial and error, and these SQL engine restrictions are only discovered by hitting errors. This phase requires patience and hands-on debugging. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 solves our scattered customer data problem, consolidating into unified profiles. Segmentation lets us efficiently target based on actual behavior, saving time. Identity resolution and Calculated Insights streamline data processes, though quirks exist. Overall, it enhances our customer data management significantly. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Seller invite ![Jo T.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jo T.") JT Jo T. Enterprise (\> 1000 emp.) 6/3/2026 "Efficient Data Unification with Room for Improvement" 4/5 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. 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. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite on behalf of seller ![Verified User in Furniture](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Furniture") CF Verified User in Furniture Small-Business (50 or fewer emp.) 7/14/2026 "Great for Unified Customer Service Insights" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? What I like most about Salesforce Data 360 is its ability to unify customer data from multiple sources into a single, trusted profile. It integrates seamlessly with the Salesforce ecosystem, making AI, automation, and personalization much more effective. I also like how features like Identity Resolution and audience segmentation simplify complex data management while delivering real-time insights. Although there's a slight learning curve, the platform provides excellent value for organizations looking to build data-driven customer experiences. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The biggest drawback is the learning curve, especially for users who are new to data modeling and identity resolution concepts. Initial setup and configuration can also be time-consuming, and the licensing cost may be a challenge for smaller organizations. However, once implemented, the platform delivers significant value. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 helps unify customer data from multiple systems, giving service agents a complete view of each customer in one place. This reduces the time spent searching across different applications, enables more personalized support, and helps resolve cases faster. It also improves automation and AI-driven recommendations, leading to a better customer experience and increased agent productivity. Review collected by and hosted on G2.com. Show More Validated ReviewerSource: Seller invite AJ Alex J. Enterprise (\> 1000 emp.) 6/18/2026 "Exciting Proactive Insights from Unified Data Sets" 4/5 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 Review collected by and hosted on G2.com. 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 Review collected by and hosted on G2.com. 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 Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![anudeep d.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "anudeep d.") AD anudeep d. Small-Business (50 or fewer emp.) 4/15/2026 Business partner of the seller or seller's competitor, not included in G2 scores. "Easy Setup, Needs Better Segmentation" 3.5/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I find Salesforce Data 360 really helpful for segmentation and building data extensions for marketing cloud journeys. It greatly simplifies the segmentation of data from multiple streams, including Snowflake. I also appreciate how it leverages calculated insights for building reports. The data ingress process is very easy; it’s incredibly simple to set up, and I can have it up and running, with data coming in, in less than an hour. Overall, all the features are great. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? Data ingress should be free and the segmentation selection should be made easy. Segmentation and calculated insights can be more streamlined. Calculated insights reports should be grouped for dates. Segments selection of related attributes should be more streamlined and easy instead of an endless list of dropdown. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? Salesforce Data 360 helps us in segmentation of data from multiple streams, even Snowflake, and uses calculated insights for building reports. The process of ingress is easy, and it's very easy to set up, getting data coming in less than an hour. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![Murilo P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Murilo P.") MP Murilo P. Head of Development Mid-Market (51-1000 emp.) 4/16/2026 "Effective Integration, Confusing Initial Setup" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I like the way Salesforce Data 360 integrates data. I work with system development and integration, so I really appreciate how it allows for various modes of data ingestion, activation, and system integration, and the use of connectors that facilitate projects. The ease of bringing specific marketing data from where the business needs it, greatly speeding up the process and avoiding data duplication, is something that highlights this product. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? The settings are not very clear. We had some errors in the first projects. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? I use Salesforce Data 360 to structure data for marketing campaigns and conversational flows, integrating systems easily through connectors, speeding up the process and avoiding data duplication. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller inviteAI Translated ![Luis C.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Luis C.") LC Luis C. Enterprise (\> 1000 emp.) 6/18/2026 "Eases Integration, Needs Better Error Handling" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I find the user interface of Salesforce Data 360 makes it much easier to deal with integrations. It's much easier to use than our old integration tools. Also, the initial setup was very easy. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? I would say the error handling. Sometimes the data streams fail, and we don't get a notification. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? I use Salesforce Data 360 to clear and organize information before it's passed to our data lake and made available for Tableau. The interfaces are easier to use than older integration tools. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ![Srinivas Y.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Srinivas Y.") SY Srinivas Y. Technical Architect Small-Business (50 or fewer emp.) 4/16/2026 "Boosted Lead Management with Seamless Integration" 4/5 What do you like best about Salesforce Data 360 (formerly Data Cloud)? I like the segmentation and integration with other clouds in Salesforce Data 360. We have a lot of lead data, and Salesforce Data 360 helps us automate, classify, and use these leads in Marketing Cloud, which is helping us grow our business. Review collected by and hosted on G2.com. What do you dislike about Salesforce Data 360 (formerly Data Cloud)? I wish there were more features for data profiling and that segmentation came with more features. Also, it would be great if the pricing were less. Review collected by and hosted on G2.com. What problems is Salesforce Data 360 (formerly Data Cloud) solving and how is that benefiting you? I use Salesforce Data 360 to refine lead data and automate lead handling, which helps grow our business by pushing clean leads to Marketing Cloud. It solves handling huge data and creates data sets through segmentation, aiding in data classification and integration with other clouds. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: Seller invite ## Pricing Options Pricing provided by Salesforce Data 360.... ### Consumption Credits $500.00 100000 Credits [ View More Pricing Information ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/pricing) Salesforce Data 360 (formerly Data Cloud) Comparisons ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_205c43a22cc9f5d110bca0feac5ef444/twilio-segment.png "Product Avatar Image") Twilio Segment 4.5/5(567) [ Compare Now ](https://www.g2.com/compare/salesforce-data-360-formerly-data-cloud-vs-twilio-segment) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_c5eaa3c924d805ec84037adc0b148f56/insider-one.png "Product Avatar Image") Insider One 4.8/5(1,415) [ Compare Now ](https://www.g2.com/compare/insider-one-vs-salesforce-data-360-formerly-data-cloud) ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/small_square/small_square_d2f0a0ea98763ba63746cc59f2377be9/dynamics-365-customer-insights.png "Product Avatar Image") Microsoft Dynamics 365 Customer Insights 4/5(19) [ Compare Now ](https://www.g2.com/compare/dynamics-365-customer-insights-vs-salesforce-data-360-formerly-data-cloud) ##### ##### Salesforce Data 360 (formerly Data Cloud) Features Administration Marketing Integrations Data Quality Data Unification Data Sourcing Data Enrichment Expandability Content Marketing Intelligence Marketing Metrics Predictive Modeling Recommendation Engine [ View More Features ](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/features) ## 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