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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Snort vs Splunk

Snort vs Splunk

OverviewComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Snort
Snort
Stacks36
Followers104
Votes0
GitHub Stars3.1K
Forks640

Snort vs Splunk: What are the differences?

Snort and Splunk are both widely used cybersecurity tools, but they differ in several key aspects that make them unique in their functionalities and capabilities. 1. **Data Analysis**: Snort primarily focuses on intrusion detection and prevention. It analyzes network traffic in real-time, detecting various types of attacks by matching network packets against a database of known attack signatures. On the other hand, Splunk is primarily a log aggregation and analysis tool. It collects and indexes data from various sources, allowing for powerful search, visualization, and correlation capabilities. It can be used for security purposes but is not specifically designed for intrusion detection. 2. **Deployment**: Snort is typically deployed as a network intrusion detection system (NIDS) or network intrusion prevention system (NIPS), residing on a network segment and monitoring the traffic passing through it. In contrast, Splunk is usually deployed as a log management and analysis platform, collecting logs from various devices and systems across an infrastructure for centralized analysis. 3. **Open Source vs. Enterprise**: Snort is an open-source tool, meaning its source code is freely available and can be modified. It is backed by a community of developers who contribute to its continuous development and enhancement. In contrast, Splunk is a commercial tool available as both an on-premises solution and a cloud-based service. It offers enterprise-grade features, professional support, and a wide ecosystem of enterprise integrations and apps. 4. **Real-time vs. Historical Analysis**: Snort primarily operates in real-time, analyzing network traffic as it flows through the system and generating alerts or taking actions accordingly. It focuses on immediate threat detection and prevention. Splunk, on the other hand, stores data for historical analysis and correlation over time. It allows security teams to identify patterns and trends, perform forensic investigations, and gain insights into long-term security events and incidents. 5. **Alerting Capabilities**: Snort is designed to generate alerts based on predefined attack signatures. When a match is found, an alert is triggered, and appropriate actions can be taken. Splunk, however, provides more advanced alerting capabilities by allowing users to define complex alert conditions using its powerful search language. This enables users to create highly customized and granular alerting rules based on specific conditions and events. 6. **Visualization and Reporting**: Splunk offers a wide range of data visualization and reporting capabilities, allowing users to create visually appealing dashboards, charts, and reports to analyze and present their data. It provides interactive data exploration features, helping users to gain insights quickly and efficiently. Snort, being primarily focused on intrusion detection, does not provide the same level of visualization and reporting capabilities as Splunk.

In Summary, Snort is a real-time intrusion detection and prevention tool, while Splunk is a log aggregation and analysis platform with more advanced data analysis, reporting, and visualization capabilities.

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Detailed Comparison

Splunk
Splunk
Snort
Snort

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

It is an open-source, free and lightweight network intrusion detection system (NIDS) software for Linux and Windows to detect emerging threats.

Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability
Intrusion Agent; IPSx; IPS; NGIPS; IPS detection and blocking
Statistics
GitHub Stars
-
GitHub Stars
3.1K
GitHub Forks
-
GitHub Forks
640
Stacks
772
Stacks
36
Followers
1.0K
Followers
104
Votes
20
Votes
0
Pros & Cons
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Ability to style search results into reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Dashboarding on any log contents
Cons
  • 1
    Splunk query language rich so lots to learn
No community feedback yet
Integrations
No integrations available
Windows
Windows
FreeBSD
FreeBSD
CentOS
CentOS
Fedora
Fedora

What are some alternatives to Splunk, Snort?

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.

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.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

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.

Let's Encrypt

Let's Encrypt

It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG).

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Sqreen

Sqreen

Sqreen is a security platform that helps engineering team protect their web applications, API and micro-services in real-time. The solution installs with a simple application library and doesn't require engineering resources to operate. Security anomalies triggered are reported with technical context to help engineers fix the code. Ops team can assess the impact of attacks and monitor suspicious user accounts involved.

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