Need advice about which tool to choose?Ask the StackShare community!

Splunk

602
1K
+ 1
20
Sumo Logic

193
282
+ 1
21
Add tool

Splunk vs Sumo Logic: What are the differences?

Introduction

In this article, we will explore the key differences between Splunk and Sumo Logic. These two platforms are popular in the field of log management and analysis, offering distinct features and capabilities. Let's dive into the differences between them.

  1. Scalability: Splunk is known for its scalability and ability to handle massive amounts of log data efficiently. It can distribute data across multiple servers and provides high availability options. On the other hand, while Sumo Logic also offers scalable solutions, it may require additional configurations for handling extremely large datasets.

  2. Pricing Model: Splunk follows a traditional software licensing model, where users pay based on the volume of data indexed or the number of users. While this may make it suitable for large enterprises with predictable log data volumes, it might be expensive for smaller organizations or evolving setups. Conversely, Sumo Logic adopts a more flexible pricing structure, based on the volume of data ingested, enabling more cost control and better alignment with dynamic log data requirements.

  3. Ease of Use and Deployment: Splunk, being a mature product, offers a wide range of features and customization capabilities. However, this can result in a steeper learning curve for users, especially for those without prior experience. On the other hand, Sumo Logic focuses on simplicity and ease of use, offering intuitive interfaces and streamlined workflows, making it suitable for both technical and non-technical users.

  4. Analytics and Machine Learning: Splunk provides rich analytics capabilities, including advanced search, reporting, and visualization options. It also offers machine learning functionalities to detect anomalies and patterns in log data. Sumo Logic, while also providing robust search and analytics capabilities, places a stronger emphasis on machine learning algorithms, leveraging artificial intelligence to provide intelligent log analysis, anomaly detection, and proactive issue identification.

  5. Integration Ecosystem: Splunk has a well-established ecosystem and supports a wide array of third-party integrations, making it easier to connect with various tools and systems. This enables organizations to ingest data from diverse sources and integrate with external services seamlessly. Sumo Logic, while also supporting integration with popular systems, might have a narrower selection of connectors available compared to Splunk.

  6. Deployment Options: Splunk offers both on-premises and cloud-based deployment options, allowing organizations to choose according to their infrastructure preferences and compliance requirements. Sumo Logic, on the other hand, is primarily cloud-native, offering its services through the cloud. While this provides advantages like ease of management and scalability, it might limit options for organizations that heavily rely on on-premises infrastructure.

In summary, Splunk excels in scalability, flexibility for large enterprises, and a vast integration ecosystem, while Sumo Logic focuses on simplicity, cost control, intelligent log analysis through machine learning, and cloud-native deployments. Choosing between the two depends on specific requirements, preference for ease of use, scalability needs, and budget considerations.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Splunk
Pros of Sumo Logic
  • 3
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Rich GUI for searching live logs
  • 1
    Query any log as key-value pairs
  • 1
    Granular scheduling and time window support
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup

Sign up to add or upvote prosMake informed product decisions

Cons of Splunk
Cons of Sumo Logic
  • 1
    Splunk query language rich so lots to learn
  • 2
    Expensive
  • 1
    Occasionally unreliable log ingestion
  • 1
    Missing Monitoring

Sign up to add or upvote consMake informed product decisions

What is Splunk?

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

What is Sumo Logic?

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Splunk?
What companies use Sumo Logic?
See which teams inside your own company are using Splunk or Sumo Logic.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Splunk?
What tools integrate with Sumo Logic?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Jul 9 2019 at 7:22PM

Blue Medora

DockerPostgreSQLNew Relic+8
11
2348
Jun 26 2018 at 3:26AM

Twilio SendGrid

GitHubDockerKafka+10
11
9964
DockerSlackAmazon EC2+17
18
5987
What are some alternatives to Splunk and Sumo Logic?
Datadog
Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Graylog
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
See all alternatives