Splunk vs Gravwell

Struggling to choose between Splunk and Gravwell? Both products offer unique advantages, making it a tough decision.

Splunk is a Ai Tools & Services solution with tags like machine-learning, big-data, log-analysis.

It boasts features such as Real-time log management and analysis, Ability to ingest data from many sources, Powerful search and reporting capabilities, Visualizations and dashboards, Alerting and notifications, Anomaly detection, Integration with other systems and tools and pros including Powerful analytics capabilities, Flexible and scalable, Easy to use interface, Broad data source support, Robust security features, Large ecosystem of apps and integrations.

On the other hand, Gravwell is a Security & Privacy product tagged with log-analytics, security-monitoring, log-collection, indexing, search.

Its standout features include Real-time log ingestion and search, Powerful query language for filtering and analytics, Scalable architecture for handling high volume data, Built-in dashboards and visualizations, Collaboration features like saved searches and alerts, APIs for integration and automation, Open source with commercial support available, and it shines with pros like Very fast search and analytics on large datasets, Flexible querying and filtering capabilities, Handles high volume streaming data ingestion, Scales horizontally for large deployments, Lower cost than commercial SIEM solutions.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Splunk

Splunk

Splunk is a software platform for searching, monitoring, and analyzing machine-generated big data via a web-style interface. It provides real-time operational intelligence that enables organizations to collect, index, and harness data from websites, applications, sensors, devices, and other systems.

Categories:
machine-learning big-data log-analysis

Splunk Features

  1. Real-time log management and analysis
  2. Ability to ingest data from many sources
  3. Powerful search and reporting capabilities
  4. Visualizations and dashboards
  5. Alerting and notifications
  6. Anomaly detection
  7. Integration with other systems and tools

Pricing

  • Free
  • Subscription-Based

Pros

Powerful analytics capabilities

Flexible and scalable

Easy to use interface

Broad data source support

Robust security features

Large ecosystem of apps and integrations

Cons

Can be expensive at higher tiers

Steep learning curve

Resource intensive

Complex licensing model

Requires expertise to maximize value


Gravwell

Gravwell

Gravwell is an open source log analytics and security monitoring platform designed for high-performance log collection, indexing, and search. It provides real-time insights into user and system behavior.

Categories:
log-analytics security-monitoring log-collection indexing search

Gravwell Features

  1. Real-time log ingestion and search
  2. Powerful query language for filtering and analytics
  3. Scalable architecture for handling high volume data
  4. Built-in dashboards and visualizations
  5. Collaboration features like saved searches and alerts
  6. APIs for integration and automation
  7. Open source with commercial support available

Pricing

  • Open Source
  • Commercial Support

Pros

Very fast search and analytics on large datasets

Flexible querying and filtering capabilities

Handles high volume streaming data ingestion

Scales horizontally for large deployments

Lower cost than commercial SIEM solutions

Cons

Steeper learning curve than other log tools

Requires more hardware resources than rivals

Limited built-in reports compared to SIEMs

Less out-of-box integrations than commercial options