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Compare DataSet (by SentinelOne) and Sumo Logic 
Featured Products
At a Glance
Market Segments
Mid-Market (38.5% of reviews)
Mid-Market (48.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataSet (by SentinelOne)
Star Rating
(42)4.6 out of 5
Market Segments
Mid-Market (38.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about DataSet (by SentinelOne)Sumo Logic
Star Rating
(384)4.4 out of 5
Market Segments
Mid-Market (48.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Sumo LogicSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sumo Logic excels in its ability to ingest logs from multiple sources, including AWS and Kubernetes, making it a robust choice for organizations with diverse environments. Users appreciate its real-time error logging capabilities, which help in proactively identifying security threats.
- Users say that DataSet (by SentinelOne) offers a fast and intuitive interface for logging and error alerting, which is particularly beneficial for teams needing quick access to data. Reviewers highlight its efficient filtering and querying abilities, allowing them to pinpoint issues swiftly.
- According to verified reviews, Sumo Logic has a significantly higher overall satisfaction score, indicating that users feel more positively about their experience with the platform. Many users describe it as their first line of defense for monitoring and alerting, showcasing its reliability in critical situations.
- Reviewers mention that while DataSet (by SentinelOne) has a strong user interface, it lacks the same level of market presence and user feedback as Sumo Logic, which may affect long-term support and feature development. The limited number of recent reviews suggests that it may not be as widely adopted.
- Users highlight Sumo Logic's quality of support, with many praising the responsiveness and helpfulness of the support team. This aspect is crucial for organizations that rely on timely assistance to resolve issues and maintain operational efficiency.
- G2 reviewers note that while DataSet (by SentinelOne) has a slightly higher rating for ease of use, Sumo Logic's comprehensive features and capabilities make it a more powerful tool for organizations looking to enhance their log management and monitoring processes.
Pricing
Entry-Level Pricing
DataSet (by SentinelOne)
No pricing availableSumo Logic
No pricing availableFree Trial
DataSet (by SentinelOne)
Free Trial is available
Sumo Logic
Free Trial is available
Ratings
Meets Requirements
8.9
35
8.8
332
Ease of Use
8.4
35
8.1
338
Ease of Setup
8.9
21
8.2
171
Ease of Admin
8.7
21
8.4
114
Quality of Support
9.5
31
8.6
280
Has the product been a good partner in doing business?
9.6
20
8.8
111
Product Direction (% positive)
9.7
35
8.9
328
Features by Category
Monitoring
Not enough data
8.9
39
Not enough data
8.7
36
Not enough data
8.8
38
Not enough data
8.8
38
Not enough data
Not enough data
Administration
Not enough data
8.4
38
Not enough data
8.3
34
Not enough data
8.2
34
Not enough data
Not enough data
Analysis
Not enough data
8.8
38
Not enough data
9.0
40
Not enough data
8.6
33
Agentic AI - Cloud Infrastructure Monitoring
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
AI Automation - Cloud Infrastructure Monitoring
Not enough data
Not enough data
Not enough data
Not enough data
Visibility
Not enough data
8.3
64
Not enough data
8.3
63
Not enough data
8.3
61
Monitoring and Management
Not enough data
7.5
61
Not enough data
7.7
60
Not enough data
8.4
63
Agentic AI - Log Monitoring
Not enough data
6.0
8
Not enough data
6.4
7
Not enough data
6.9
8
Not enough data
6.7
6
Not enough data
6.1
6
Not enough data
6.9
7
Not enough data
7.3
8
Activity Monitoring
Not enough data
8.8
23
Not enough data
8.5
19
Not enough data
9.0
20
Not enough data
8.8
19
Security
Not enough data
8.2
19
Not enough data
8.8
20
Not enough data
8.3
20
Administration
Not enough data
8.8
18
Not enough data
8.6
19
Not enough data
8.8
16
Agentic AI - Cloud Security Monitoring and Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Preparation
Not enough data
8.3
55
|
Verified
Not enough data
8.0
50
|
Verified
Not enough data
7.6
51
|
Verified
Not enough data
8.0
48
|
Verified
Analysis
Not enough data
8.1
50
|
Verified
Not enough data
7.7
51
|
Verified
Not enough data
8.3
50
|
Verified
Not enough data
8.5
56
|
Verified
Not enough data
8.1
55
|
Verified
Not enough data
8.1
49
|
Verified
Visualization
Not enough data
8.1
53
|
Verified
Not enough data
8.1
53
|
Verified
Agentic AI - Log Analysis
Not enough data
6.0
8
Not enough data
6.4
7
Not enough data
6.7
8
Not enough data
6.5
8
Not enough data
5.7
9
Not enough data
5.2
7
Not enough data
5.0
7
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
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
Monitoring
Not enough data
8.2
37
Not enough data
8.4
38
Not enough data
8.4
39
Not enough data
7.6
36
Not enough data
8.3
36
Response
Not enough data
8.3
38
Not enough data
8.7
40
Not enough data
8.3
39
Agentic AI - Application Performance Monitoring (APM)
Not enough data
7.3
13
Not enough data
7.8
13
Not enough data
6.8
10
Not enough data
7.7
15
Not enough data
7.2
12
Performance
Not enough data
8.3
42
Not enough data
8.4
39
Functionality
Not enough data
7.9
37
Not enough data
7.9
37
Not enough data
8.2
37
Not enough data
8.5
37
Alerts management
Not enough data
7.0
11
Not enough data
7.5
12
Not enough data
7.1
13
Monitoring
Not enough data
7.0
11
Not enough data
7.3
10
Not enough data
7.7
11
Not enough data
8.2
12
Automation
Not enough data
7.3
10
Not enough data
7.4
12
Analysis
Not enough data
7.9
14
Not enough data
6.5
11
Not enough data
7.1
12
Not enough data
7.1
12
Issue Resolution
Not enough data
7.0
11
Not enough data
7.0
11
Not enough data
6.8
13
Telemetry Collection & Ingestion - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Observability Software
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
Visualization & Dashboards - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Correlation & Root Cause Analysis - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability & Ecosystem Integration - Observability
Not enough data
Not enough data
Not enough data
8.3
5
AI Features - Observability
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Response
Not enough data
7.8
72
Not enough data
8.2
73
Not enough data
7.4
67
Not enough data
7.7
67
Records
Not enough data
8.8
91
Not enough data
8.3
81
Not enough data
8.3
79
Management
Not enough data
8.6
90
Not enough data
8.0
69
Not enough data
8.2
74
Generative AI
Not enough data
7.1
14
Not enough data
7.6
16
Cloud Visibility
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
Identity
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security Information and Event Management (SIEM)Hide 14 FeaturesShow 14 Features
Not enough data
8.6
71
Network Management
Not enough data
9.1
62
|
Verified
Not enough data
8.0
55
|
Verified
Not enough data
9.4
64
|
Verified
Incident Management
Not enough data
8.9
65
|
Verified
Not enough data
8.3
55
|
Verified
Not enough data
8.6
53
|
Verified
Security Intelligence
Not enough data
8.4
52
|
Verified
Not enough data
8.0
49
|
Verified
Not enough data
8.8
55
|
Verified
Not enough data
8.9
56
|
Verified
Agentic AI - Security Information and Event Management (SIEM)
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 Orchestration, Automation, and Response (SOAR)Hide 11 FeaturesShow 11 Features
Not enough data
8.5
15
Automation
Not enough data
8.6
13
Not enough data
8.3
13
Not enough data
8.8
12
Not enough data
8.5
13
Orchestration
Not enough data
8.2
13
Not enough data
8.8
12
Not enough data
8.3
12
Not enough data
8.5
12
Response
Not enough data
8.6
11
Not enough data
8.2
12
Not enough data
8.3
13
Agentic AI - AI Agents
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
DataSet (by SentinelOne) and Sumo Logic are categorized as Log Analysis and Log Monitoring
Unique Categories
DataSet (by SentinelOne) has no unique categories
Sumo Logic is categorized as Observability Software, AI Agents For Business Operations, Cloud Security Monitoring and Analytics, Security Orchestration, Automation, and Response (SOAR), Cloud Infrastructure Monitoring, Container Monitoring, Incident Response, Security Information and Event Management (SIEM), and Application Performance Monitoring (APM)
Reviews
Reviewers' Company Size
DataSet (by SentinelOne)
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sumo Logic
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
33.3%
Information Technology and Services
15.4%
Media Production
10.3%
Retail
5.1%
Internet
5.1%
Other
30.8%
Information Technology and Services
22.2%
Computer Software
18.1%
Financial Services
7.1%
Retail
4.7%
Internet
2.5%
Other
45.5%
Discussions
DataSet (by SentinelOne) has no discussions with answers
Who are Sumo Logic competitors?
1 Comment
NS
Splunk, Arcsight, QRadar, DatadogRead more
Sumo Logic has no more discussions with answers
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