StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Splunk Cloud vs Splunk Enterprise

Splunk Cloud vs Splunk Enterprise

OverviewDecisionsComparisonAlternatives

Overview

Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Splunk Enterprise
Splunk Enterprise
Stacks116
Followers114
Votes0

Splunk Cloud vs Splunk Enterprise: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between Splunk Cloud and Splunk Enterprise. Splunk Cloud is a cloud-based version of Splunk, while Splunk Enterprise is an on-premises software. Let's explore the differences between the two in detail.

  1. Deployment Model: Splunk Cloud is a fully managed service provided by Splunk, where the entire infrastructure and management of the Splunk environment is handled by Splunk itself. On the other hand, Splunk Enterprise is deployed on-premises, requiring organizations to manage their own infrastructure, such as servers and network connectivity.

  2. Scalability and Capacity: Splunk Cloud offers elastic scalability, allowing users to easily scale up or down their resources based on their needs. With Splunk Cloud, users can leverage the power of the cloud to handle large amounts of data and concurrent searches. Splunk Enterprise, while scalable, requires organizations to provision and manage their own hardware resources, which may have limitations based on their infrastructure and capacity planning.

  3. Maintenance and Upgrades: With Splunk Cloud, Splunk takes care of all maintenance tasks and upgrades, ensuring that users have access to the latest features and bug fixes. Organizations using Splunk Enterprise, however, are responsible for their own maintenance tasks, such as applying patches and upgrading the software. This requires additional resources and effort to keep the environment running smoothly and up to date.

  4. Security and Compliance: Splunk Cloud provides a secure infrastructure and is compliant with various industry regulations (i.e., HIPAA, GDPR). Splunk takes care of security measures like data encryption, access controls, and network security. With Splunk Enterprise, organizations have the flexibility to implement their own security measures and comply with industry regulations, but the responsibility lies with the organization itself.

  5. Cost and Pricing: Splunk Cloud operates on a subscription-based pricing model, where users pay a recurring fee based on their usage and the number of data ingested. The costs are predictable and can scale with the organization's needs. Splunk Enterprise, on the other hand, requires an upfront investment in hardware and software licenses, along with ongoing maintenance costs. The total cost of ownership may vary based on the size of the deployment and the resources required.

  6. Customization and Control: Splunk Cloud provides a managed environment with limited customization options. Users have control over their own specific configurations and applications, but some capabilities may be limited due to the managed nature of the service. With Splunk Enterprise, organizations have full control and flexibility to customize and tailor the environment according to their specific needs, allowing for extensive customization and integration possibilities.

In summary, Splunk Cloud and Splunk Enterprise differ in their deployment model, scalability, maintenance and upgrades, security and compliance, cost and pricing, and customization and control. Splunk Cloud provides a fully managed, scalable, and secure cloud-based solution, while Splunk Enterprise offers more control and customization options but requires organizations to manage their own infrastructure and maintenance tasks.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Splunk Cloud, Splunk Enterprise

Jigar
Jigar

Security Software Engineer at Cisco

Jul 2, 2020

Needs adviceonAWS IAMAWS IAMAmazon EC2Amazon EC2Splunk CloudSplunk Cloud

We would like to detect unusual config changes that can potentially cause production outage.

Such as, SecurityGroup new allow/deny rule, AuthZ policy change, Secret key/certificate rotation, IP subnet add/drop. The problem is the source of all of these activities is different, i.e., AWS IAM, Amazon EC2, internal prod services, envoy sidecar, etc.

Which of the technology would be best suitable to detect only IMP events (not all activity) from various sources all workload running on AWS and also Splunk Cloud?

168k views168k
Comments

Detailed Comparison

Splunk Cloud
Splunk Cloud
Splunk Enterprise
Splunk Enterprise

If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

Splunk Enterprise delivers massive scale and speed to give you the real-time insights needed to boost productivity, security, profitability and competitiveness.

Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Real-time visibility; Data Source Agnostic; AI & Machine Learning
Statistics
Stacks
170
Stacks
116
Followers
438
Followers
114
Votes
15
Votes
0
Pros & Cons
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Powerful log analytics
  • 3
    Free
  • 1
    Pci compliance
  • 1
    Production debugger
No community feedback yet
Integrations
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
No integrations available

What are some alternatives to Splunk Cloud, Splunk Enterprise?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

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!

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Graylog

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana