Graylog Security vs.
Splunk Enterprise Security

Which SIEM Should I Choose?

The Rundown

In today’s rapidly evolving cybersecurity landscape, deploying the right Security Information and Event Management (SIEM) solution is vital to protecting your organization’s assets. This comparison between Graylog Security and Splunk Enterprise Security explores each platform’s strengths to help security professionals make informed decisions that align with their organization’s needs. While both vendors offer threat detection, investigation, and response (TDIR) and compliance management capabilities, they differ in meaningful ways, such as deployment flexibility, advanced analytics, threat coverage, and TCO. This analysis sheds light on these key differentiators, empowering decision-makers to choose a solution that best meets their specific security challenges and operational goals.

The Comparison & Context

Deployment Simplicity and Speed

This capability addresses the SIEM solution’s ability to quickly be implemented and brought into operational status, allowing organizations to start benefiting from the SIEM solution sooner and with less initial effort.
Graylog Reports & Dashboards

Graylog

Graylog Security is known for its straightforward deployment process. It is designed for easy installation and configuration, often requiring minimal infrastructure changes. This helps organizations get up and running quickly, reducing downtime and complexity.

Splunk

While feature-rich, Splunk Enterprise Security often involves a more complex and lengthy deployment process. Setting up Splunk can require significant infrastructure adjustments and expertise, which can delay implementation and increase initial costs. This complexity can be a barrier for organizations looking for a swift deployment.

Threat Intelligence and Detection Content

This capability addresses the SIEM solution’s ability to collect and analyze information about current and emerging threats. Detection rules are predefined patterns or signatures used to identify malicious activities within a network. They enhance the SIEM’s ability to proactively identify and respond to threats, reduce the risk of breaches, and improve overall security posture.  

Graylog

Graylog Security, through a strategic partnership with SOC Prime, includes built-in detection rules aligned with the MITRE ATT&CK framework as part of the subscription. These rules are regularly updated to address the latest threats, providing Graylog users with up-to-date protection. Graylog also allows users to customize and create their own detection rules, leveraging community contributions and external threat intelligence feeds. 

Splunk

Splunk Enterprise Security uses machine learning and behavioral analytics to detect threats. It can identify anomalies and potential threats without relying solely on predefined rules to detect sophisticated attacks. However, the platform’s features can introduce complexity, requiring significant expertise to configure and manage effectively.

Threat Hunting and Investigation Tools

This capability addresses the SIEM solution’s ability to allow security analysts to proactively detect and respond to sophisticated threats that may evade automated detection mechanisms.

Graylog

Graylog Security provides practical threat-hunting tools, including fast search performance across unstructured and structured data using a simplified query language supporting advanced syntax, including wildcards, fuzzy searches, proximity searches, numeric ranges, and the use of regex and an all-in-one workspace to collect and organize datasets, reports, evidence, and other context while investigating a potential incident.

Splunk

Splunk offers an integrated incident management framework, enabling users to create, track, and manage security incidents within the platform. This integration streamlines the investigation process and enhances collaboration among security teams. However, these features may require a steep learning curve for new users, potentially impacting initial efficiency.

Persona-Based Workflows

This capability addresses the SIEM solution’s ability to tailor user experience and functionality based on the specific roles and responsibilities of different users within the security operations team, improving productivity and effectiveness in handling security tasks.

Graylog

Graylog Security offers a flexible and customizable user interface that focuses on the Security Analyst persona. It is tailored for analysts to quickly access investigations, alerts, and reporting workflows that address commonplace security challenges. Analysts can also easily create customized dashboards and visualizations based on their investigation evidence.

Splunk

Splunk supports persona-based workflows, offering customizable dashboards and interfaces tailored to various roles, such as analysts. However, the complexity of customization may necessitate specialized knowledge, potentially increasing the time and resources required for setup.

Query Language Simplicity and Flexibility

This capability addresses the SIEM solution’s ability to allow users to quickly and efficiently extract insights from their data, reducing the learning curve and improving productivity.
Data Enrichment

Graylog

Graylog Security uses a query interface that is based on the Lucene syntax. It is intuitive and easy to use, allowing for free text search and field-based queries. This simplicity makes it accessible to users with varying levels of technical expertise. Graylog Security is renowned for its high-speed full-text search across structured and unstructured data and advanced schema-on-write capabilities, which allow analysts to perform complex queries and quickly get results. The distributed nature of Graylog Security ensures high performance and scalability, making it ideal for environments with large data volumes. Graylog’s schema-on-write approach front-loads parsing, normalization, and analytics during processing, while log data is held in memory for efficiency and performance. 

Splunk

Splunk Enterprise Security uses its own Search Processing Language (SPL), which, while powerful, has a steeper learning curve. SPL requires users to learn specific syntax and commands, which can be more complex and less intuitive. This can slow the onboarding process and make it harder for new users to become proficient in data querying. While Splunk’s search capabilities are robust, the performance and efficiency in handling large datasets may not match Graylog’s high-speed full-text search and indexing capabilities. Using a schema-on-read approach, Splunk requires an extensive understanding of the underlying log structure to find and organize data in search results. 

Data Storage and Retention

This capability addresses the SIEM solution’s ability to store large volumes of security data and logs over extended periods and the efficiency with which it manages this data, ensuring that relevant data is available when needed.

Graylog

Graylog Security supports various data retention policies and provides robust tools for managing large datasets. Graylog Security’s data management capabilities include distribution across Hot, Warm, and Cold storage tiers. The “warm” tier allows for using less expensive storage hardware while preserving the integrity of a single search experience. This makes it ideal for organizations that must store and analyze vast amounts of security data over long periods without significant cost or performance degradation.

Splunk

While powerful, Splunk Enterprise Security can be more resource-intensive, often requiring substantial hardware and infrastructure to operate efficiently. While supporting data tiers, including a “Smartstore,” the overlying architecture may lead to higher operational costs and resource consumption, making it less efficient than Graylog. Organizations may need to invest in more robust hardware to maintain performance, increasing the total ownership cost.

API Security Integration

This capability addresses the SIEM solution’s ability to include information about API vulnerabilities in the overall log data correlation, search, detection, and alerting capabilities.
Monitoring API threats

Graylog

With its acquisition of Resurface.io, Graylog has expanded into API security, offering built-in capabilities to monitor API traffic within Graylog Security. This is increasingly important as APIs become a critical attack vector.

Splunk

Splunk Enterprise Security does not natively provide the same level of integrated API security, making Graylog Security a more comprehensive security solution for organizations developing cloud-native or enterprise applications.

Total Cost of Ownership (TCO)

This capability addresses the total cost of owning and operating an SIEM solution over its lifecycle, including initial purchase costs, implementation expenses, maintenance fees, and additional operational costs.    

Graylog

Graylog Security is optimized for high performance and efficient resource utilization. Its distributed architecture allows for horizontal scaling, meaning additional resources can be added as needed without significantly impacting performance. This makes Graylog Security highly resource-efficient for handling large volumes of data. It offers a flexible, cost-effective pricing model, significantly lowering initial and ongoing costs. Strong controls for data routing, data tiering, and mature administrative capabilities reduce data management requirements for storing long data periods. The ingest-based pricing allows organizations to pay only for what they need, making it a budget-friendly option with predictable expenses.

Splunk

Splunk Enterprise Security’s pricing model is often based on data volume, which can become expensive as data volumes increase. This can create financial disincentives for organizations to collect and analyze all relevant security data. While Splunk provides comprehensive features, the cost can be significant, especially for large-scale deployments.

See How Graylog Stacks Up

Graylog Security Named a Leader and Fast Mover in GigaOm 2024 SIEM Radar Report

Graylog stands out in GigaOm’s Innovation/Feature Play quadrant for its flexibility, responsiveness, and cutting-edge functionalities. The platform excelled in cost optimization, alert fidelity and self-tuning capabilities, scalability, data enrichment, and anomaly detection.