Updated on September 8, 2017 by UpGuard
Log management solutions play a crucial role in an enterprise's layered security framework— without them, firms have little visibility into the actions and events occuring inside their infrastructures that could either lead to data breaches or signify a security compromise in progress. Splunk and ELK (a.k.a BELK or Elastic Stack) are two of the leading enterprise solutions in this category; let's see how they stack up in this comparison.
Most, if not all, systems and devices in today's IT environments generate extensive logfiles that record the minutiae of day-to-day operations: what resources were accessed and by who, activities performed, errors/exceptions encountered by the host, and more. As you can imagine, the volume of logfiles in any given organization's infrastructure can quickly become unwieldy. Log management and analysis solutions enable organizations to glean collective, actionable intelligence from this sea of data.
Known as the "Google for logfiles," Splunk is also marketed as a Security Information and Event Management (SIEM) solution, on top of being a log management and analysis platform. SIEM is essentially log management as applied to security: by unifying logfile data gathered from a myriad of systems and devices across an IT environment, operators and infosec professionals can perform higher-order security analyses and assessments regarding the collective state of their systems from a single interface. An abundance of SIEM products exist on the market, but Splunk reigns supreme in this category due to its aforementioned Google-esque search capabilities. The platform uses a proprietary search language called Search Processing Language (SPL) for traversing and executing contextual queries large data sets.
The Splunk UI. Source: splunk.com.
Splunk also features over 1000 apps and add-ons for extending the platform's capabilities to accomodate various data sources.
Short for Elasticsearch, Logstash, and Kibana, ELK is a consolidated data analytics platform from open source software developer Elastic. The company is most widely known for Elasticsearch, its scalable search platform based on Apache Lucene. As with many open source offerings targeting the enterprise, paid-for commerical support and consulting are its bread and butter. ELK's software stack consists Elasticsearch (distributed RESTful search/analytics engine), Logstash (data processing pipeline), and Kibana (data visualization). More recently, Beats made its way into the stack, offering agent-based single purpose data shipping. This conglomerate is now marketed by Elastic as the open source Elastic Stack.
The ELK interface. Source: elastic.co.
In addition to the ELK/Elastic stack, each of these technologies is available as a discreet offering from Elastic.
Side-by-Side Scoring: Splunk vs. ELK/Elastic Stack
1. Capability Set
Splunk and ELK/Elastic Stack are powerful, comprehensive log management and analysis platforms that excel in fulfilling the requirements the most demanding enterprise use cases. Both are highly customizable and offers a range of features you'd expect from a competent solution in this category: advanced reporting, robust search capabilities, alerting/notifications, data visualizations, and more.
2. Ease of Use
Both solutions are relatively easy to deploy and use, especially considering each respective platform's breadth of features and capabilities. That said, Splunk's dashboards offer more accessible features and its configuration options are a bit more refined and intuitive than ELK/Elastic Stack's. Additionally, ELK's user management features are more challenging to use than Splunk's. On the other hand, AWS offers Elasticsearch as a service that removes much of the difficulty in deploying and managing it.
3. Community Support
Both are market leaders in their respective categories with a large community of users and supporters. Open source has its advantages, however, and ELK/Elastic Stack boasts a highly active and responsive developer/user community, as well as an abundance of resources available online. Check out Elastic's library of community-contributed clients for various programming languages.
4. Release Rate
Both solutions have seen regular releases over the years: Splunk's enterprise offering is currently at version 6.5, while ELK/Elastic Stack releases—as a composite platform—are stratified per component. Currently, Elastic Stack (as well as its core components: Kibana, Elasticsearch, Beats, and Logstash) is at version 5.0. Full release histories for Elastic and Splunk are available on the vendors' websites.
5. Pricing and Support
Splunk is a proprietary enterprise offering with a high end price tag while ELK/Elastic Stack is a free, open source platform. Despite this, ELK/Elastic Stack's cost total cost of ownership can be quite substantial as well for expansive infrastructures: hardware costs, price of storage, and professional services can quickly add up (though the aforementioned AWS service can simplify that if cloud-hosting is a viable option). Both Splunk and ELK/Elastic Stack now offer cloud-based, hosted versions for more price-conscious organizations. In terms of support, both ELK/Elastic Stack and Splunk's support offerings are exceptional.
6. API and Extensibility
Splunk offers a well-documented RESTful API with over 200 endpoints for accessing every feature in the product as well as SDKs for popular languages. ELK/Elastic Stack's Elasticsearch was designed from the ground-up as a distributed search and analytics engine using standard RESTful APIs and JSON. It also offers pre-built clients for building custom apps in languages such as Java, Python, .NET, and more.
7. 3rd Party Integrations
Splunk features over 1000 add-ons and apps in its Splunkbase app portal organized into 6 categories: DevOps, IT operations, security/fraud/compliance, business analytics, IoT/industrial data, and utilities. Not to be outdone, ELK/Elastic Stack also offers a plethora of plugins and integrations, both from the community and supplied by third-party vendors.
8. Companies that Use It
Splunk boasts over 12,000 customers and 80 of the Fortune 100 under its belt: Adobe, BlackRock, Coca-Cola, ING, Tesco, AAA, Staples, among others. Elastic's customer list is equally impressive, consisting of Ebay, Verizon, Netflix, Cisco, Salesforce, FICO, Facebook Thomson Reuters, to name a few.
9. Learning Curve
ELK/Elastic Search's learning curve is surprisingly flat for what it does; Splunk has a moderate learning curve, especially when it comes to building expertise for carrying out more specialized analyses.
Since we first started tracking Splunk their CSTAR has increased dramatically from 694 to a current score of 879 by adding protections like SPF records. Elastic's score, however, has also been consistently higher, rising from 836 to a nearly perfect 929.
Scoreboard and Summary
|Ease of Use|
|Pricing and Support|
|API and Extensibility|
|3rd Party Integrations|
|Companies that Use It|
|Total||4.4 out of 5||4.6 out of 5|
In short, both Splunk and ELK/Elastic Stack are competent, enterprise-grade log management and analysis platforms trusted by the world's leading organizations. Total cost of ownership can be significant for both solutions; in response to demand from more budget-minded firms, Splunk and Elastic have recently started to offer hosted versions of their products.
Log analytics and SIEM only account for one piece of the continuous security puzzle. For achieving enterprise resilience, UpGuard's gives organizations the ability to validate that all IT assets in their environments are configured optimally and free from vulnerabilities– for example, that Splunk agents are installed correctly on all the servers supposed to be under management. Our platform integrates with Splunk out-of-the-box to correlate detected configuration item changes with events, resulting in more accurate insights and timely response/remediation.
Misconfigurations are an internal problem that emanate from within the IT infrastructure of any enterprise; no hacker is necessary for massive damage to occur to digital systems and stored data. And the problem is pervasive, with Gartner estimating anywhere from 70% to 99% of data breaches result not from external, concerted attacks, but from internal misconfiguration of the affected IT systems.