Compare Salesforce Data 360 (formerly Data Cloud) and Treasure Data Customer Data Platform
At a Glance
Market Segments
Mid-Market (42.7% of reviews)
Enterprise (40.0% of reviews)
Entry-Level Pricing
$500.00 100000 Credits
Free Trial Per Year
Salesforce Data 360 (formerly Data Cloud)
Star Rating
(247)4.3 out of 5
Market Segments
Mid-Market (42.7% of reviews)
Pros & Cons
Entry-Level Pricing
$500.00 100000 Credits
Learn more about Salesforce Data 360 (formerly Data Cloud)
Treasure Data Customer Data Platform
Star Rating
(164)4.5 out of 5
Market Segments
Enterprise (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial Per Year
Learn more about Treasure Data Customer Data Platform
Summary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Salesforce Data 360 excels in providing a comprehensive view of customer data, unifying diverse sources into a single, real-time profile. Users appreciate how this capability enhances personalized marketing and service experiences, making it a valuable tool for businesses looking to streamline their customer interactions.
- Users say that Treasure Data Customer Data Platform stands out for its robust ETL process and extensive data connectors. Reviewers highlight the ease of creating audience segments and the clean user interface, which contributes to a smoother workflow for data management and personalization needs.
- According to verified reviews, Salesforce Data 360 is praised for its user-friendly setup process, with many users noting that the transition was smooth and not difficult. This ease of implementation is a significant advantage for teams looking to quickly adopt a new system without extensive training.
- Reviewers mention that while Treasure Data offers a responsive customer success team that actively collaborates with clients, Salesforce Data 360 also receives high marks for its support quality. Users appreciate the timely assistance and the proactive approach to feature requests, which enhances their overall experience with the platform.
- G2 reviewers highlight that Treasure Data's strength lies in its flexibility and expandability, with over 250 out-of-the-box connectors that facilitate faster integration. This feature is particularly beneficial for enterprises needing to connect various data sources efficiently.
- Users report that Salesforce Data 360's ability to consolidate information from multiple channels, including CRM, social media, and external databases, is a game-changer. This capability not only saves time but also ensures that businesses have access to a unified customer profile that is continuously updated, enhancing decision-making processes.
Pricing
Entry-Level Pricing
Salesforce Data 360 (formerly Data Cloud)
Consumption Credits
$500.00
100000 Credits
List Price
- Data Services
- Segmentation & Activation
Treasure Data Customer Data Platform
Try for free
Free Trial
Per Year
Treasure Data offers complimentary proof of concepts (POCs) to try our CDP for free using your own data. Through the Trade-Up program, you can also switch Treasure Data and only pay in full after your incumbent CDP contract ends.
- https://www.treasuredata.com/product/pricing/
- https://www.treasuredata.com/cdp-poc/
- https://www.treasuredata.com/cdp-trade-up/
Free Trial
Salesforce Data 360 (formerly Data Cloud)
No trial information availableTreasure Data Customer Data Platform
Free Trial is available
Ratings
Meets Requirements
9.0
95
8.5
138
Ease of Use
7.9
190
8.4
142
Ease of Setup
7.3
163
8.2
84
Ease of Admin
8.5
46
8.4
81
Quality of Support
8.6
90
8.9
136
Has the product been a good partner in doing business?
9.3
45
9.1
83
Product Direction (% positive)
9.0
92
9.0
134
Features by Category
Email Marketing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Online Marketing
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
Lead 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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Campaign 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
Social
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
Reporting & Analytics
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
Platform
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
Agentic AI - Marketing Automation
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
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Integration
10.0
5
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
8.0
5
Not enough data
9.3
5
Not enough data
10.0
5
Not enough data
Agentic AI - Data Management Platform (DMP)
8.9
6
Not enough data
9.2
6
Not enough data
9.8
7
Not enough data
9.4
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
Data Analysis & Optimization
10.0
5
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.4
6
Not enough data
Platform
8.9
6
Not enough data
9.7
6
Not enough data
10.0
6
Not enough data
9.4
6
Not enough data
10.0
5
Not enough data
Administration
9.0
7
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
8.3
7
Not enough data
Management
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
Not enough data
Compliance
9.3
7
Not enough data
9.0
7
Not enough data
9.3
7
Not enough data
10.0
6
Not enough data
Security
9.3
7
Not enough data
8.8
7
Not enough data
9.3
7
Not enough data
Data Quality
9.3
7
Not enough data
8.8
7
Not enough data
9.6
8
Not enough data
Maintainence
9.0
7
Not enough data
9.0
7
Not enough data
Generative AI
8.1
7
Not enough data
8.3
7
Not enough data
Agentic AI - Data Governance
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
Not enough data
Data Sourcing
8.9
34
8.3
104
|
Verified
9.2
51
8.7
102
|
Verified
8.5
28
7.5
88
|
Verified
9.1
29
8.2
93
|
Verified
Intelligence
8.5
28
8.0
92
|
Verified
8.6
28
7.8
85
|
Verified
8.7
29
7.8
80
|
Verified
Platform Basics
Not enough data
7.4
25
Not enough data
8.7
29
Not enough data
8.4
29
Not enough data
8.1
25
Not enough data
8.8
28
Agentic AI - Customer Journey Mapping
Not enough data
Not enough data
Platform Basics
Not enough data
8.8
36
Not enough data
8.3
34
Platform Data
Not enough data
8.4
33
Not enough data
8.2
33
Not enough data
7.9
35
Not enough data
8.5
35
Platform Additional Functionality
Not enough data
8.5
33
Not enough data
9.3
38
Not enough data
8.3
34
Agentic AI - Customer Journey Analytics
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
10.0
6
Not enough data
9.2
6
Not enough data
9.7
6
Not enough data
10.0
7
Not enough data
Data Analysis
9.2
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
10.0
6
Not enough data
Administration
9.8
7
Not enough data
9.4
6
Not enough data
9.2
6
Not enough data
Agentic AI - Audience Intelligence Platforms
8.9
6
Not enough data
9.3
7
Not enough data
8.9
6
Not enough data
8.9
6
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
Agentic AI - Firewall Software
8.2
16
Not enough data
8.6
16
Not enough data
Categories
Categories
Shared Categories
Salesforce Data 360 (formerly Data Cloud) and Treasure Data Customer Data Platform are categorized as Identity Resolution and Customer Data Platform (CDP)
Unique Categories
Salesforce Data 360 (formerly Data Cloud) is categorized as Audience Intelligence Platforms, Data Management Platform (DMP), Master Data Management (MDM), Data Governance, and Data Management Software
Treasure Data Customer Data Platform is categorized as Marketing Automation, Customer Journey Analytics, and Customer Journey Mapping
Reviews
Reviewers' Company Size
Salesforce Data 360 (formerly Data Cloud)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Treasure Data Customer Data Platform
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
Information Technology and Services
16.8%
Computer Software
8.9%
Financial Services
7.0%
Consulting
6.1%
Computer & Network Security
3.7%
Other
57.5%
Marketing and Advertising
16.1%
Food & Beverages
9.0%
Information Technology and Services
8.4%
Automotive
7.1%
Consumer Goods
6.5%
Other
52.9%
Alternatives
Discussions
Salesforce Data 360 (formerly Data Cloud) has no discussions with answers
How does a customer data platform work?
1 Comment
RR
Comment deleted by user.Read more
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1 Comment
RR
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What is ARM treasure data?
1 Comment
RR
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