Elastic Enterprise Search vs Graylog Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated May 2026 8 min read

Elastic Enterprise Search

0.0 (0 reviews)

Elastic Enterprise Search is a powerful search solution that allows you to build AI-driven search experiences across your website, mobile applications, and internal workplace content using advanced vector and keyword capabilities.

Starting at $95/mo
Free Trial 14 days
VS

Graylog

0.0 (0 reviews)

Graylog is a centralized log management and security analytics platform that helps you collect, index, and analyze machine data to improve your IT operations and cybersecurity posture.

Starting at Free
Free Trial 0 days

Quick Comparison

Feature Elastic Enterprise Search Graylog
Website elastic.co graylog.org
Pricing Model Subscription Freemium
Starting Price $95/month Free
FREE Trial ✓ 14 days free trial ✓ 0 days free trial
Free Plan ✘ No free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise saas on-premise
Integrations Slack Salesforce Google Drive GitHub SharePoint Jira Confluence Dropbox Zendesk Box Slack PagerDuty Elasticsearch MongoDB Kafka AWS Microsoft Azure Google Cloud Okta Active Directory
Target Users mid-market enterprise small-business mid-market enterprise
Target Industries
Customer Count 0 0
Founded Year 2012 2009
Headquarters Mountain View, USA Houston, USA

Overview

E

Elastic Enterprise Search

Elastic Enterprise Search gives you the tools to build and manage sophisticated search experiences for your customers and employees. Whether you are adding a search bar to your website or connecting fragmented internal data, you can unify your content into a single, searchable interface. The platform combines traditional keyword search with modern AI and vector search, ensuring your users find exactly what they need regardless of how they phrase their queries.

You can easily ingest data from various sources like Google Drive, Slack, and GitHub using pre-built connectors. The solution is designed for developers who need flexibility and for business teams who want to tune search relevance without writing code. It scales with your data growth, providing a reliable foundation for everything from simple site search to complex, RAG-based AI applications.

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Graylog

Graylog provides you with a centralized location to collect and explore your log data from across your entire infrastructure. Instead of manually searching through individual server logs, you can aggregate everything into a single interface to troubleshoot application errors, monitor system performance, and detect security threats in real-time.

You can build custom dashboards to visualize trends and set up automated alerts that notify you the moment specific criteria are met. Whether you are managing a few servers or a massive enterprise network, the platform helps you reduce mean time to resolution (MTTR) by making your data searchable and actionable through a high-performance engine.

Overview

E

Elastic Enterprise Search Features

  • Pre-built Connectors Sync your data instantly from popular tools like Salesforce, SharePoint, and Slack with ready-to-use integration modules.
  • Vector Search Implement semantic search capabilities so your users find relevant results based on meaning and intent rather than just keywords.
  • Search UI Components Build beautiful search interfaces quickly using a library of open-source React components designed for seamless user experiences.
  • Relevance Tuning Adjust search results manually with easy-to-use sliders and weights to ensure your most important content appears first.
  • Web Crawler Ingest and index content from your public websites automatically to keep your search results fresh and up to date.
  • Analytics Dashboard Monitor what your users are searching for and identify content gaps to improve your overall search performance.
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Graylog Features

  • Centralized Log Collection. Aggregate logs from any source, including applications, servers, and network devices, into one searchable location for easier management.
  • Real-Time Search. Search through terabytes of data in seconds using a powerful syntax to find exactly what you need during an outage.
  • Custom Dashboards. Create visual representations of your data with widgets and charts to monitor your system health at a glance.
  • Automated Alerting. Set up triggers to receive instant notifications via email or Slack when specific error patterns or security events occur.
  • Data Parsing and Enrichment. Clean and structure your raw log data automatically to make it more readable and useful for your team's analysis.
  • Role-Based Access Control. Manage user permissions precisely to ensure that only authorized team members can view or edit sensitive log information.

Pricing Comparison

E

Elastic Enterprise Search Pricing

Standard
$95
  • Elasticsearch & Kibana
  • App Search & Workplace Search
  • Standard web crawler
  • Basic security features
  • Community support access
G

Graylog Pricing

Graylog Open
$0
  • Core log management
  • Search and discovery
  • Basic dashboards
  • Content packs
  • Community support

Pros & Cons

M

Elastic Enterprise Search

Pros

  • Extremely fast search results even with massive datasets
  • Highly customizable relevance tuning for specific business needs
  • Seamless integration with the broader Elastic Stack ecosystem
  • Excellent documentation and active developer community support

Cons

  • Significant learning curve for non-technical administrators
  • Resource-based pricing can become unpredictable as data grows
  • Initial configuration requires dedicated engineering time
A

Graylog

Pros

  • Extremely fast search performance even with large datasets
  • Highly flexible parsing rules for custom log formats
  • Active community support and extensive documentation available
  • Cost-effective alternative to expensive proprietary SIEM solutions

Cons

  • Initial setup and configuration requires technical expertise
  • Hardware requirements can be significant for high volumes
  • Learning curve for mastering the custom search syntax
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