Compare Splunk On-Call and Sumo Logic 
At a Glance
Market Segments
Mid-Market (46.2% of reviews)
Mid-Market (48.1% of reviews)
Entry-Level Pricing
--
No pricing available
Splunk On-Call
Star Rating
(52)4.5 out of 5
Market Segments
Mid-Market (46.2% of reviews)
Pros & Cons
Entry-Level Pricing
--
Browse all 4 pricing plansSumo Logic
Star Rating
(388)4.3 out of 5
Market Segments
Mid-Market (48.1% 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 various sources, including AWS and Kubernetes, making it a robust choice for organizations with diverse environments. Users appreciate its deep error logging capabilities, which help in proactively identifying security threats and issues before they escalate.
- Users say that Splunk On-Call significantly enhances incident management processes, with its flexibility and configurability being standout features. The robust notification system ensures that on-call members never miss critical alerts, which is crucial for maintaining operational efficiency.
- Reviewers mention that Sumo Logic has a higher overall satisfaction score compared to Splunk On-Call, indicating a more favorable user experience. The platform's real-time tracing and alerting tools are highlighted as essential for maintaining system health and performance.
- According to verified reviews, Splunk On-Call offers a superior ease of setup, with users noting that the onboarding process is intuitive and straightforward. This is particularly beneficial for teams looking to implement incident management solutions quickly.
- G2 reviewers highlight that while Sumo Logic has a strong market presence, its support quality is slightly lower than that of Splunk On-Call. Users of Splunk On-Call commend the platform for its post-incident analysis features, which help teams learn from past incidents and improve future responses.
- Users report that both products cater well to mid-market companies, but Sumo Logic has a larger volume of reviews, suggesting a more established user base. This can provide potential buyers with greater confidence in the platform's reliability and effectiveness in real-world applications.
Pricing
Entry-Level Pricing
Splunk On-Call
Custom Pricing
--
Create a customized plan to meet your specific needs.
Sumo Logic
No pricing availableFree Trial
Splunk On-Call
Free Trial is available
Sumo Logic
Free Trial is available
Ratings
Meets Requirements
8.9
48
8.8
337
Ease of Use
8.6
48
8.2
343
Ease of Setup
8.9
31
8.2
176
Ease of Admin
8.8
31
8.4
115
Quality of Support
9.1
44
8.6
283
Has the product been a good partner in doing business?
9.5
28
8.8
112
Product Direction (% positive)
9.0
48
8.8
333
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
Monitoring
Not enough data
Not enough data
9.7
5
|
Verified
Not enough data
9.0
5
|
Verified
Not enough data
Not enough data
Not enough data
Management Tools
Not enough data
Not enough data
Not enough data
Not enough data
9.7
5
|
Verified
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Incident 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
Visibility
Not enough data
8.3
64
Not enough data
8.3
63
Not enough data
8.3
62
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
8.4
21
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
8.6
57
|
Verified
Not enough data
8.1
56
|
Verified
Not enough data
8.1
49
|
Verified
Visualization
Not enough data
8.2
54
|
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
Generative AI
Not enough data
Not enough data
Agentic AI - IT Alerting
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
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
8.7
76
Network Management
Not enough data
9.1
62
|
Verified
Not enough data
8.0
55
|
Verified
Not enough data
9.4
67
|
Verified
Incident Management
Not enough data
8.9
66
|
Verified
Not enough data
8.3
56
|
Verified
Not enough data
8.6
54
|
Verified
Security Intelligence
Not enough data
8.4
52
|
Verified
Not enough data
8.0
49
|
Verified
Not enough data
8.9
57
|
Verified
Not enough data
9.0
59
|
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
Splunk On-Call and Sumo Logic are categorized as Incident Response
Unique Categories
Splunk On-Call is categorized as IT Alerting and Incident Management
Sumo Logic is categorized as Observability Software, AI Agents For Business Operations, Cloud Security Monitoring and Analytics, Security Orchestration, Automation, and Response (SOAR), Log Monitoring, Cloud Infrastructure Monitoring, Container Monitoring, Log Analysis, Security Information and Event Management (SIEM), and Application Performance Monitoring (APM)
Reviews
Reviewers' Company Size
Splunk On-Call
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
28.8%
Information Technology and Services
26.9%
Retail
7.7%
Marketing and Advertising
7.7%
Broadcast Media
3.8%
Other
25.0%
Information Technology and Services
22.2%
Computer Software
17.8%
Financial Services
7.0%
Retail
4.6%
Internet
2.4%
Other
45.9%
Discussions
Splunk On-Call 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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