Sold by: Salesforce, Inc.
Deployed on AWS
Make all your enterprise data ready for action, without moving it. Data 360 activates trusted context across your Agentic Enterprise, unifying your data, business logic, and governance into one complete source so every team and every agent is always working from a current, trusted picture of your business.
4.3
Overview
Data 360 is the engine that activates trusted context across your entire enterprise. Every data source you have - your warehouse, data lake, third-party signals, product data - gets connected to the business context that already lives in Salesforce: the business logic, shared language, guardrails, and automation. All possible without moving data, thanks to Zero Copy.
It works with the tools and teams you already have, including AWS. Data 360 connects directly to data where it lives, breaking down silos and harmonizing information using low-code tools so every department can power Agentforce, automate workflows, and make smarter decisions faster.
The result: every person on your team, and every AI agent working on your behalf, is always operating from a complete, current, and trusted picture of your customer and business, right now, in the moment it is needed.
Highlights
- Make all your enterprise data ready for action, without moving it.
- Power workflows, decisions, and analytics with one complete data source.
- Bring context and insight to your data so Agentforce can put it to work.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. Request a private offer to receive a custom quote. Sign in to view any offers that have been extended to you.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Unify your customer data across Salesforce and AWS. This free one-day workshop helps you identify opportunities to build a Customer 360 solution and unlock real-time, AI-powered insights for customer engagement.
Adzviser Search Ads 360 Data Connector for Amazon S3 helps advertisers, agencies, and data teams export enterprise paid-search performance data directly to Amazon S3. Automate campaign reporting for dashboards, analysis, and AI workflows.
Adzviser Display & Video 360 Data Connector for Amazon S3 helps advertisers, agencies, and data teams export programmatic advertising performance data directly to Amazon S3. Automate media reporting for dashboards, analysis, and AI workflows.
Improve your business's responsiveness with our AI-powered, data unification and management platform.
Over 10,000 organizations rely on Informatica for their mission-critical processes. Informatica Multidomain MDM is designed to drive your customer experience, digital commerce, supplier optimization, and finance data management needs.
Customer reviews
Chirag C.
Unified, Real-Time Customer Profiles with Powerful Salesforce Integration
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
What I like most about Salesforce Data 360 (formerly Data Cloud) is how it brings customer data from multiple sources together into a single, real-time customer profile. It also integrates smoothly with Salesforce products like Sales Cloud, Service Cloud, Marketing Cloud, and Agentforce, which helps enable more personalized customer experiences and supports better decision-making. Features such as identity resolution, segmentation, calculated insights, and AI-powered capabilities make it easier to create targeted audiences and automate actions. Overall, the platform feels scalable and secure, and it has significantly improved customer engagement while reducing the amount of manual data processing needed.
What do you dislike about the product?
The platform is feature-rich, but it can be complex to implement and learn. The initial setup, data modeling, and identity resolution often require experienced resources to get right. Pricing may be high for smaller businesses, and some integrations still need additional configuration before they work smoothly. More guided onboarding, a simpler setup process, and stronger low-code capabilities would improve the overall experience.
What problems is the product solving and how is that benefiting you?
Salesforce Data 360 helps eliminate data silos by creating a unified customer view across multiple systems. This has improved our customer segmentation, enabled more personalized engagement, increased reporting accuracy, and strengthened cross-team collaboration. With real-time insights and AI-powered capabilities, we can make faster, data-driven decisions while reducing manual effort and improving overall operational efficiency.
Chirag C.
Unifies Customer Data Across Clouds with Powerful Identity Resolution
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
What stands out most about Salesforce Data 360 is its ability to ingest, harmonize, and unify massive amounts of customer data from disparate sources into a single, real-time source of truth. The identity resolution capabilities make it effortless to consolidate customer interactions across Core CRM, Commerce, and Marketing Cloud. This unified data model drastically simplifies cross-cloud segmentation and powers highly personalized, real-time customer journeys.
What do you dislike about the product?
The initial setup and data modeling require a steep learning curve. Mapping ingestion schemas to the Customer 360 Data Model and setting up identity resolution rules properly requires dedicated architecture expertise. Additionally, debugging data streams or mapping issues during setup can feel complex and time-consuming.
What problems is the product solving and how is that benefiting you?
Salesforce Data 360 solves the critical challenge of fragmented customer data scattered across disparate systems. Before, customer interactions were trapped in isolated databases, making cross-channel activation difficult. Now, we can unify real-time streams and static batch data into a single Customer 360 profile. This has significantly reduced segment creation time and eliminated data duplication across marketing and engagement channels.
Vishal S.
Data Cloud Makes External Data Actionable with Unified Customer Profiles
Reviewed on Aug 03, 2026
Review provided by G2
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product 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.
laissaoui b.
Data360 Zero-Copy connectors : Strong Foundation for a Unified Customer View
Reviewed on Aug 02, 2026
Review provided by G2
What do you like best about the product?
Native Salesforce connectors and Zero Copy/BYOL let us link Snowflake, Databricks, Redshift, and BigQuery without duplicating data.
What do you dislike about the product?
Steep learning curve: the data mapping and Data Stream configuration interface can feel overly complex and a bit hard to navigate for non-experts.
What problems is the product solving and how is that benefiting you?
We struggled with fragmented customer data spread across multiple systems (Sales Cloud, Service Cloud, and external data warehouses), which made it difficult to get a unified, real-time view of our customers. With Salesforce Data 360, we didn't need to modify or duplicate the source data at all: instead, the platform creates a relationship model that links records together and stays continuously synchronized with the source systems. Combined with Zero Copy/BYOL to connect directly to our Snowflake data lake, this has resulted in faster segmentation, more consistent customer profiles across teams, and reduced time spent on manual data reconciliation, all while keeping our source data intact and trustworthy.
siddartha D.
Profile Unification and Zero-Copy Integrations That Deliver
Reviewed on Jul 20, 2026
Review provided by G2
What do you like best about the product?
Profile unification, zero-copy integrations, and Agentforce groundwork capabilities.
What do you dislike about the product?
There is still room for improvement with data cloud deployments. I encountered few challenges using Data kits.
What problems is the product solving and how is that benefiting you?
Faster implementation and simpler UI. Integrating between various systems is made too simpler and usage based pricing is cherry on the cake.