Compare Salesforce Data 360 (formerly Data Cloud) and mParticle by Rokt 
At a Glance
Market Segments
Mid-Market (43.0% of reviews)
Mid-Market (53.1% of reviews)
Entry-Level Pricing
$500.00 100000 Credits
No pricing available
Salesforce 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)mParticle by Rokt
Star Rating
(175)4.4 out of 5
Market Segments
Mid-Market (53.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about mParticle by RoktSummary
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 data management.
- Users say that mParticle by Rokt has made significant improvements in its user interface, with recent feedback highlighting its functionality and ease of use. Reviewers note that the platform allows for effective audience segmentation and reporting, which can be particularly beneficial for mid-market companies.
- According to verified reviews, Salesforce Data 360 stands out for its smooth implementation process. Users have found the setup to be straightforward, which helps in minimizing downtime and ensuring a quick transition to the platform, a crucial factor for businesses eager to leverage their data quickly.
- Reviewers mention that while mParticle by Rokt offers a multifunctional CDP tool, it sometimes struggles with specific workflow needs, leading to configuration challenges. This can be a drawback for users who require a highly tailored solution for their data management processes.
- G2 reviewers highlight that Salesforce Data 360's ability to gather and link information from various sources, including CRM and social media, is a game-changer. This feature not only saves time but also ensures that users have access to a holistic view of their customer interactions, which is essential for informed decision-making.
- Users report that mParticle by Rokt, while functional, may not meet all advanced data modeling needs as effectively as Salesforce Data 360. The latter's robust data modeling capabilities are frequently praised, allowing for deeper insights and more strategic data utilization.
Pricing
Entry-Level Pricing
Salesforce Data 360 (formerly Data Cloud)
Consumption Credits
$500.00
100000 Credits
List Price
- Data Services
- Segmentation & Activation
mParticle by Rokt
No pricing availableFree Trial
Salesforce Data 360 (formerly Data Cloud)
No trial information availablemParticle by Rokt
No trial information availableRatings
Meets Requirements
9.0
91
8.2
138
Ease of Use
8.0
169
8.2
137
Ease of Setup
7.4
142
8.0
57
Ease of Admin
8.6
43
8.5
53
Quality of Support
8.6
87
8.8
117
Has the product been a good partner in doing business?
9.3
42
8.9
57
Product Direction (% positive)
9.0
89
7.9
125
Features by Category
Metrics
Not enough data
8.0
23
Not enough data
8.2
23
Not enough data
8.2
19
Not enough data
8.4
22
Not enough data
8.3
24
Not enough data
7.8
20
Not enough data
8.5
21
Not enough data
8.8
21
Not enough data
8.9
22
Reporting
Not enough data
8.2
20
Not enough data
8.3
19
Not enough data
Not enough data
Not enough data
8.8
20
Not enough data
8.3
14
Not enough data
8.7
15
Not enough data
8.3
22
Other
Not enough data
8.9
20
Not enough data
8.9
12
Not enough data
8.8
11
Not enough data
8.6
13
Not enough data
8.5
14
Not enough data
7.5
8
Not enough data
Not enough data
Agentic AI - Digital 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
Administration
Not enough data
8.4
23
Not enough data
8.7
20
Not enough data
8.5
29
Not enough data
8.4
30
Data Integration
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
Not enough data
Agentic AI - Data Management Platform (DMP)
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
Not enough data
Data Analysis & Optimization
10.0
6
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.5
7
Not enough data
Platform
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
Not enough data
User Identification
Not enough data
7.8
15
Not enough data
8.6
20
Not enough data
8.1
19
Tracking & Reporting
Not enough data
8.9
22
Not enough data
8.9
19
Not enough data
7.7
20
Not enough data
8.6
22
Not enough data
8.5
21
Not enough data
8.5
20
Metrics
Not enough data
8.3
12
Not enough data
8.5
9
Not enough data
8.0
10
Not enough data
7.5
10
Not enough data
8.8
11
Product Analytics
Not enough data
8.4
23
Not enough data
8.7
30
Not enough data
8.6
37
Not enough data
8.8
41
Not enough data
Not enough data
Not enough data
8.8
26
Not enough data
8.6
21
Not enough data
8.5
27
Agentic AI - Product 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
Behavioral Analytics - Product 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 Infrastructure - Product Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
AI driven optimization - Product 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
Administration
9.0
7
6.7
9
8.8
7
6.5
9
8.6
6
7.1
8
8.3
7
5.9
9
Management
8.3
7
7.8
9
9.0
7
7.8
9
8.6
7
8.0
10
8.3
7
5.6
9
8.3
6
7.0
9
Compliance
9.3
7
9.0
10
9.0
7
8.3
9
9.3
7
8.3
9
10.0
6
8.0
9
Security
9.3
7
8.9
9
8.8
7
8.0
10
9.3
7
8.7
10
Data Quality
9.3
7
8.2
10
8.8
7
8.3
9
9.6
8
8.5
9
Maintainence
9.0
7
8.7
10
9.0
7
8.3
9
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
30
8.2
25
9.2
32
8.8
29
8.6
30
7.0
21
9.1
30
8.3
28
Intelligence
8.6
29
7.5
25
8.9
29
7.0
21
8.6
28
6.6
20
Platform Basics
Not enough data
8.2
32
Not enough data
8.5
31
Platform Data
Not enough data
8.7
32
Not enough data
8.1
28
Not enough data
8.5
32
Not enough data
8.6
29
Platform Additional Functionality
Not enough data
8.6
30
Not enough data
8.1
31
Not enough data
7.5
23
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
6
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
9.7
6
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
9.2
6
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
Development
Not enough data
8.6
14
Not enough data
8.8
13
Management
Not enough data
8.3
10
Not enough data
9.2
11
Integration Options
Not enough data
8.7
5
Not enough data
6.4
7
Not enough data
8.1
12
Not enough data
7.0
5
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
8.3
17
Not enough data
8.7
17
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
Metrics
Not enough data
8.3
12
Not enough data
8.5
9
Not enough data
8.0
10
Not enough data
7.5
10
Not enough data
8.8
11
Categories
Categories
Shared Categories
Salesforce Data 360 (formerly Data Cloud) and mParticle by Rokt are categorized as Customer Data Platform (CDP) and Data Governance
Unique Categories
Salesforce Data 360 (formerly Data Cloud) is categorized as Audience Intelligence Platforms, Identity Resolution, Data Management Platform (DMP), Master Data Management (MDM), and Data Management Software
mParticle by Rokt is categorized as Data Subject Access Request (DSAR), E-Commerce Data Integration, Customer Journey Analytics, Product Analytics, Digital Analytics, and Mobile App Analytics
Reviews
Reviewers' Company Size
Salesforce Data 360 (formerly Data Cloud)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
mParticle by Rokt
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
17.6%
Computer Software
9.8%
Financial Services
7.3%
Consulting
4.7%
Marketing and Advertising
4.1%
Other
56.5%
Financial Services
12.0%
Information Technology and Services
10.3%
Computer Software
8.0%
Food & Beverages
6.9%
Internet
5.1%
Other
57.7%
Alternatives
Discussions
Salesforce Data 360 (formerly Data Cloud) has no discussions with answers
Where does indicative stant when compared to other competitors
1 Comment
TM
Thanks for your question, Bharath. Indicative's key differentiator over both Mixpanel and Amplitude is our ability to connect directly to your data...Read more
May you have created some tutorials for beginners?
1 Comment
TM
Hi José, thanks for reaching out with your question. You can find some of our tutorial-related content by exploring our product demo from the home page of...Read more
WIll you ever change the new user interface?
1 Comment
TM
Thanks for writing in, Ezekiel! Indicative released a major UI update in May 2020. In addition to this, we are constantly releasing new improvements which...Read more
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