Compare Cinchy and Salesforce Data 360 (formerly Data Cloud) 
At a Glance
Market Segments
Mid-Market (47.4% of reviews)
Mid-Market (43.0% of reviews)
Entry-Level Pricing
$$
$500.00 100000 Credits
Cinchy
Star Rating
(19)4.8 out of 5
Market Segments
Mid-Market (47.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
$$
Browse all 2 pricing plansSalesforce Data 360 (formerly Data Cloud)
Star Rating
(210)4.3 out of 5
Market Segments
Mid-Market (43.0% of reviews)
Pros & Cons
Entry-Level Pricing
$500.00 100000 Credits
Learn more about Salesforce Data 360 (formerly Data Cloud)Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Cinchy excels in user experience, with many praising its intuitive interface and the speed of development. Users highlight how quickly they can move from idea to implementation, making it a strong choice for teams looking for a user-friendly solution.
- According to verified reviews, Salesforce Data 360 shines in its ability to unify diverse customer data sources into a single, real-time profile. This feature is particularly valuable for businesses aiming to enhance their marketing and sales strategies through a comprehensive view of customer interactions.
- Users say that Cinchy's strength lies in its data integration capabilities, allowing for seamless connections between disparate data sources without the need for complex coding. This flexibility is a significant advantage for organizations that require a versatile data management platform.
- Reviewers mention that Salesforce Data 360 offers a smooth setup process, which many find time-saving. Users appreciate that the transition to this platform is straightforward, allowing them to focus on leveraging their data rather than getting bogged down in technical challenges.
- G2 reviewers highlight that while Cinchy has a smaller user base, it boasts a higher overall satisfaction rating, particularly in quality of support. Users commend the Cinchy team for their commitment to customer success, which can be a crucial factor for businesses needing reliable assistance.
- According to recent feedback, Salesforce Data 360 is recognized for its comprehensive data management features, which include linking information from various sources like CRM and social media. This capability allows businesses to create a unified customer profile that is continuously updated, enhancing their ability to deliver personalized experiences.
Pricing
Entry-Level Pricing
Salesforce Data 360 (formerly Data Cloud)
Consumption Credits
$500.00
100000 Credits
List Price
- Data Services
- Segmentation & Activation
Free Trial
Cinchy
No trial information availableSalesforce Data 360 (formerly Data Cloud)
No trial information availableRatings
Meets Requirements
8.8
15
9.0
91
Ease of Use
9.3
15
8.0
169
Ease of Setup
7.2
10
7.4
142
Ease of Admin
8.3
9
8.6
43
Quality of Support
9.7
15
8.6
87
Has the product been a good partner in doing business?
10.0
11
9.3
42
Product Direction (% positive)
10.0
15
9.0
89
Features by Category
Data Integration
Not enough data
10.0
6
Not enough data
10.0
6
Not enough data
9.7
6
Not enough data
8.3
6
Not enough data
9.4
6
Not enough data
10.0
6
Agentic AI - Data Management Platform (DMP)
Not enough data
9.0
7
Not enough data
9.3
7
Not enough data
9.8
8
Not enough data
9.5
7
Not enough data
9.3
7
Not enough data
8.8
7
Data Analysis & Optimization
Not enough data
10.0
6
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.5
7
Platform
Not enough data
9.0
7
Not enough data
9.8
7
Not enough data
10.0
7
Not enough data
9.5
7
Not enough data
10.0
6
Administration
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
8.3
7
Management
Not enough data
8.3
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.3
6
Compliance
Not enough data
9.3
7
Not enough data
9.0
7
Not enough data
9.3
7
Not enough data
10.0
6
Security
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.3
7
Data Quality
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.6
8
Maintainence
Not enough data
9.0
7
Not enough data
9.0
7
Generative AI
Not enough data
8.1
7
Not enough data
8.3
7
Agentic AI - Data Governance
Not enough data
8.3
7
Not enough data
8.3
7
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
9.4
6
Management
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Sourcing
Not enough data
8.9
30
Not enough data
9.2
32
Not enough data
8.6
30
Not enough data
9.1
30
Intelligence
Not enough data
8.6
29
Not enough data
8.9
29
Not enough data
8.6
28
Data Management
9.9
12
Not enough data
9.2
11
Not enough data
9.8
7
Not enough data
9.5
7
Not enough data
Analytics
10.0
7
Not enough data
Security
10.0
7
Not enough data
9.8
9
Not enough data
10.0
9
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Audiences
Not enough data
10.0
6
Not enough data
9.2
6
Not enough data
9.7
6
Not enough data
10.0
6
Data Analysis
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
10.0
6
Administration
Not enough data
9.7
6
Not enough data
9.4
6
Not enough data
9.2
6
Agentic AI - Audience Intelligence Platforms
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
8.9
6
Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - DataOps Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Monitoring and Management
Not enough data
Not enough data
Not enough data
Not enough data
Cloud Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Firewall Software
Not enough data
8.3
17
Not enough data
8.7
17
Categories
Categories
Shared Categories
Cinchy and Salesforce Data 360 (formerly Data Cloud) are categorized as Customer Data Platform (CDP), Data Management Platform (DMP), and Data Management Software
Unique Categories
Cinchy is categorized as Data Fabric, iPaaS, ETL Tools, On-Premise Data Integration, and DataOps Platforms
Salesforce Data 360 (formerly Data Cloud) is categorized as Audience Intelligence Platforms, Identity Resolution, Master Data Management (MDM), and Data Governance
Reviews
Reviewers' Company Size
Cinchy
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Salesforce Data 360 (formerly Data Cloud)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Financial Services
47.4%
Banking
21.1%
Insurance
15.8%
Venture Capital & Private Equity
5.3%
Retail
5.3%
Other
5.3%
Information Technology and Services
17.6%
Computer Software
9.8%
Financial Services
7.3%
Consulting
4.7%
Marketing and Advertising
4.1%
Other
56.5%
Alternatives
Discussions
Cinchy has no discussions with answers
Salesforce Data 360 (formerly Data Cloud) has no discussions with answers
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