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Compare Snowplow and mParticle by Rokt 
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At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Mid-Market (52.9% of reviews)
Entry-Level Pricing
Contact Us Per Year
No pricing available
Snowplow
Star Rating
(31)4.6 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us Per Year
Browse all 2 pricing plansmParticle by Rokt
Star Rating
(172)4.4 out of 5
Market Segments
Mid-Market (52.9% 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.
- Users report that Snowplow excels in Real-Time Data Collection with a score of 9.0, allowing businesses to capture and analyze data instantly, which is crucial for timely decision-making. In contrast, mParticle, while strong, has a lower score of 8.3 in Real-Time Reporting, indicating a slight lag in delivering immediate insights.
- Reviewers mention that Snowplow's Custom Event Tracking feature is highly rated at 8.8, providing flexibility for businesses to tailor their tracking needs. Meanwhile, mParticle also performs well with a score of 8.7, but users note that its customization options can be less intuitive compared to Snowplow's.
- G2 users highlight that Snowplow's Data Modeling capabilities shine with a score of 9.2, making it easier for teams to visualize and manage their data structures. On the other hand, mParticle's score of 8.9 in Data Preparation suggests it offers solid features, but some users feel it lacks the depth found in Snowplow's offerings.
- Reviewers say that Snowplow's Product Direction is rated a perfect 10.0, indicating strong confidence in its future development and support. In contrast, mParticle's score of 7.7 suggests some users have concerns about its long-term roadmap and feature updates.
- Users on G2 report that Snowplow's Quality of Support is rated at 8.9, with many praising the responsiveness and expertise of the support team. mParticle, with a score of 8.8, also receives positive feedback, but some users mention that response times can vary.
- Users report that Snowplow's Data Unification feature scores 8.5, allowing for seamless integration of data from various sources, which is essential for comprehensive analytics. In comparison, mParticle's score of 8.3 indicates it provides good unification capabilities, but some users feel it could improve in handling complex data integrations.
Pricing
Entry-Level Pricing
Snowplow
Cloud BDP
Contact Us
Per Year
BDP Cloud is designed to help teams begin their journey with behavioral data. Access Snowplow’s Industry leading Behavioral Data Platform with your pipeline is hosted and managed by Snowplow. BDP Cloud offers entry level pricing to help you realize the power of Behaviour data.
- Access to Snowplow’s leading Behavioural Data Platform
- Securely share, manage, and evolve data from the console and APIs
- Up to 80 million events a month
mParticle by Rokt
No pricing availableFree Trial
Snowplow
Free Trial is available
mParticle by Rokt
No trial information availableRatings
Meets Requirements
9.2
28
8.1
135
Ease of Use
8.1
28
8.3
134
Ease of Setup
6.4
18
8.0
55
Ease of Admin
7.5
19
8.5
52
Quality of Support
8.9
25
8.8
115
Has the product been a good partner in doing business?
9.0
16
8.9
56
Product Direction (% positive)
10.0
28
7.8
122
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
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
Administration
Not enough data
6.7
9
Not enough data
6.5
9
Not enough data
7.1
8
Not enough data
5.9
9
Management
Not enough data
7.8
9
Not enough data
7.8
9
Not enough data
8.0
10
Not enough data
5.6
9
Not enough data
7.0
9
Compliance
Not enough data
9.0
10
Not enough data
8.3
9
Not enough data
8.3
9
Not enough data
8.0
9
Security
Not enough data
8.9
9
Not enough data
8.0
10
Not enough data
8.7
10
Data Quality
Not enough data
8.2
10
Not enough data
8.3
9
Not enough data
8.5
9
Maintainence
Not enough data
8.7
10
Not enough data
8.3
9
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Governance
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
Data Sourcing
Not enough data
8.2
25
Not enough data
8.7
27
Not enough data
7.0
21
Not enough data
8.2
27
Intelligence
Not enough data
7.4
24
Not enough data
7.0
21
Not enough data
6.6
20
Platform Basics
Not enough data
8.2
31
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
7.4
22
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
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
Database
9.0
17
Not enough data
8.8
13
Not enough data
8.3
12
Not enough data
Integrations
9.7
5
Not enough data
8.8
7
Not enough data
Platform
9.0
12
Not enough data
8.9
12
Not enough data
8.8
7
Not enough data
Processing
9.2
15
Not enough data
9.0
16
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
Building Reports
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
Categories
Categories
Shared Categories
Snowplow and mParticle by Rokt are categorized as Product Analytics, Digital Analytics, and Data Governance
Unique Categories
Snowplow is categorized as Big Data Processing and Distribution
mParticle by Rokt is categorized as Data Subject Access Request (DSAR), Customer Data Platform (CDP), E-Commerce Data Integration, Customer Journey Analytics, and Mobile App Analytics
Reviews
Reviewers' Company Size
Snowplow
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
Computer Software
16.7%
Retail
10.0%
Marketing and Advertising
10.0%
Information Technology and Services
10.0%
Financial Services
10.0%
Other
43.3%
Financial Services
12.2%
Information Technology and Services
10.5%
Computer Software
8.1%
Food & Beverages
7.0%
Retail
5.2%
Other
57.0%
Alternatives
Discussions
Snowplow has no discussions with answers
How would you guys handle all the feedbacks, suggestions, or request of your users about indicative features
1 Comment
AE
Hi Caira!
My name is Arman Escobar, I'm the Customer Success Manager at Indicative. Thank you for reaching out! Indicative value's our clients requests...Read more
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
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