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Data Cloud Reviews

Vendor: Salesforce
4.0 out of 5
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What is Data Cloud?

Data Cloud provides businesses with a comprehensive platform for managing and analyzing vast data sets, empowering users to drive data-driven decisions effectively.

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Data Cloud is the #18 ranked solution in top CRM solutions. PeerSpot users give Data Cloud an average rating of 8.0 out of 10. Data Cloud is most commonly compared to Keap: Data Cloud vs Keap.
Buyer's Guide
Data Cloud
January 2026
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Data Cloud mindshare

As of February 2026, the mindshare of Data Cloud in the CRM category stands at 0.5%, up from 0.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.
CRM Market Share Distribution
ProductMarket Share (%)
Data Cloud0.5%
Microsoft Dynamics CRM2.5%
SAP CRM2.1%
Other94.9%
CRM

PeerResearch reports based on Data Cloud reviews

TypeTitleDate
CategoryCRMFeb 7, 2026Download
ProductReviews, tips, and advice from real usersFeb 7, 2026Download
ComparisonData Cloud vs Microsoft Dynamics CRMFeb 7, 2026Download
ComparisonData Cloud vs Salesforce Sales CloudFeb 7, 2026Download
ComparisonData Cloud vs SAP CRMFeb 7, 2026Download
Suggested products
TitleRatingMindshareRecommending
Keap3.50.3%50%3 interviewsAdd to research
 
 
Key learnings from peers
Last updated Jan 18, 2026

Valuable Features

Data Cloud's customizability, unification, and real-time analytics are key highlights. Teams benefit from insights into pipeline synergies, reducing data silos, and forecasting needs using machine learning. Its intuitive user interface aids non-technical staff, ensuring data quality, compliance, and seamless Salesforce integration. Zero-copy data feature and consolidation from multiple sources offer unified customer views. Calculated Insight enables marketing budget efficiency by preventing redundant communications and fostering revenue growth.
  • "If a client uses Data Cloud, they can save time and most importantly, they can save budget because I generate the target audience for marketing campaigns using unification."
  • "Overall, Data Cloud is a powerful product for unifying real-time customer data and enabling personalized activation."
  • "In my opinion, some of the most valuable features of Salesforce are the integrations it has with our internal systems, with sales planning probably being second, and then third is contact information."

Room for Improvement

Data Cloud's complexities pose challenges due to its high customizability. Users frequently experience lengthy implementation and configuration processes, often taking months for seemingly simple adjustments. The interface's speed and reporting capabilities require enhancement. Limited flexibility and suboptimal documentation hinder user experience and decision-making. Real-time analytics and SQL functions often present issues. Overall, extensive time and resources are needed to tailor Data Cloud to specific business requirements, resulting in frustrations over customization and technical demands.
  • "Most of the time, I believe that not all SQL functions are working in Calculated Insights or in Query Builder."
  • "Data Cloud is an overall average product."
  • "In my opinion, areas that can still improve Data Cloud include the speed of the user interface, which is somewhat a problem, and reporting, as creating reports could be a bit easier."

ROI

Implementation took considerable time, but after completion, there was improved business visibility. Decisions became quicker with CRM, achieving ROI within a year. Efficiency increased though maintaining consistency was challenging. Single, real-time customer profiles are possible with adequate budget and governance, despite high costs. Team highly recommends Data Cloud for outstanding data unification capabilities; no other ETL tool matches its level.

Pricing

Data Cloud users report that while costs are perceived as high, the extensive features and functionalities justify the investment for enterprise needs. On average, seats are priced at approximately $1,500 per month. Many users appreciate the high-end nature tailored for extensive capabilities, though some are not directly involved in purchasing decisions or pricing insights. Overall, Data Cloud's pricing aligns with the advanced services provided to enterprises.

Popular Use Cases

Data Cloud is primarily used to unify data across different product lines, integrating marketing and sales data for higher-level insights. It supports account information, opportunity management, and harmonization of Marketing Cloud personalization data. Businesses leverage it for tailored segments, identity resolution, and connecting to CRMs like Sales Cloud and Service Cloud. It facilitates enhanced synergy KPIs, creates a targeted audience for campaigns, and aids in managing extensive data systems across global sales and marketing operations.

Service and Support

Data Cloud support exhibits variability. Partners offering support like BlueVant are praised for efficiency, while direct Salesforce interactions often lack speed. Though some find the service very responsive within an hour, others rate it a seven out of ten for inconsistency. There are instances where support struggles with identifying or resolving issues. Users remain satisfied with Data Cloud's functionality, considering it excellent.

Scalability

Users indicate that Data Cloud offers good scalability. Initial implementations can start small and grow easily. While flexibility may be moderate, most find scalability to be impressive. Cost considerations arise as workloads increase. It's noted that businesses should recognize their capabilities in scaling. Many express satisfaction with scalability, suggesting it meets varying business needs effectively, though costs might escalate with real-time demands.

Stability

Users generally find Data Cloud quite stable. Some rate its stability at eighty-five percent, calling it a good standard, while others assess it as eighty percent stable and note areas for improvement. There are instances of flawless stability, with some giving it a perfect 10 out of 10. No significant stability issues have been reported, showcasing a reliable performance according to different experiences.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Data Cloud Buyer's Guide for additional reliable information.

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Learn more about Data Cloud

This platform offers robust capabilities enabling users to harness data for strategic insights. Key use cases include data warehousing, real-time analytics, and machine learning model deployment. Data Cloud stands out for its scalability, ease of integration with existing systems, and advanced security features. Users point out room for improvement regarding cost management and interface flexibility, which could enhance experience and efficiency.

What are the key features of Data Cloud?
  • Scalability: Handles vast data volumes, ensuring seamless performance expansion.
  • Integration: Easily integrates with current systems, facilitating smooth data flow.
  • Security: Offers robust features to safeguard sensitive information.
  • Analytics: Provides real-time data processing and advanced analytical tools.
  • Machine Learning: Supports deploying models to drive data-driven initiatives.
What benefits and ROI should users look for?
  • Enhanced Decision-Making: Access to actionable insights from accurate data.
  • Cost Efficiency: Optimizes data storage and processing costs.
  • Improved Performance: Boosts operational speed and productivity.
  • Data Accessibility: Ensures valuable information is readily available.
  • Increased Security: Protects data from potential threats.

Data Cloud is implemented in industries such as finance, healthcare, and retail to streamline data management and analytics. Financial institutions utilize it for risk assessment and fraud detection, whereas healthcare providers deploy it for patient data analysis. Retailers leverage its capabilities for inventory management and customer behavior insights, demonstrating versatility across sectors.

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Data Cloud Reviews Summary
Author infoRatingReview Summary
Salesforce Data Cloud Developer at a tech vendor with 10,001+ employees4.5I've used Data Cloud with Marketing Cloud for two years, finding it easy to set up, stable, and effective for data unification and campaign targeting, though SQL limitations in Calculated Insights need improvement for better debugging.
Senior Consultant at a tech vendor with 10,001+ employees3.0I've found Data Cloud useful for unifying customer data across Salesforce products, though it's somewhat average, costly, and has poor documentation; integration is easy, but stability, support, and scalability costs can be concerns.
Head of International Sales at a comms service provider with 51-200 employees4.0I manage the sales area, collaborating with contact centers using Session Border Controller. While it's a powerful tool, implementation and changes in Data Cloud are time-consuming. Despite complexities, post-go-live offers better business visibility and quicker decisions.
Account Executive - Cloud & AI at a tech vendor with 10,001+ employees4.0I've used Salesforce Data Cloud for forecasting and opportunity management, valuing its real-time analytics and integrations, though report creation and UI speed need improvement; I’d rate it 8 overall and find support generally satisfactory.
Director at a manufacturing company with 11-50 employees4.0I used Data Cloud CRM for a decade; while it offered strong analytics, scalability, and support, it was difficult to customize, costly, and complex to deploy, which led us to seek a more suitable and affordable alternative.
Regional Business Director at a tech services company with 51-200 employees4.5Data Cloud effectively unifies data across various product lines, enhancing synergy and providing insightful management data. However, its extensive customizability, while advantageous, also introduces challenging complexity akin to solving a massive puzzle.