Elastic is a powerful search and analytics platform built on the Elasticsearch engine, providing real-time search, analytics, and data visualization capabilities. It enables organizations to search, analyze, and visualize large volumes of data from any source, making it the foundation for modern data-driven applications and observability solutions.
With its distributed architecture and powerful query capabilities, Elastic handles massive datasets while providing sub-second search responses. Whether you're building search experiences, analyzing logs, monitoring infrastructure, or detecting security threats, Elastic scales to meet enterprise demands with enterprise-grade security and governance features.
Enterprise customers
Daily events processed
Integrations available
Sub-second search across massive datasets with advanced query capabilities
Powerful analytics with Kibana dashboards and machine learning insights
Built-in security features including encryption, access controls, and audit logging
Interactive analysis dashboard - explore detailed performance insights for key business scenarios
Centralized log aggregation and analysis with real-time search, filtering, and alerting across distributed systems and applications
SIEM capabilities with threat detection, security analytics, and compliance monitoring using Elastic Security with advanced correlation rules
Build powerful search experiences with relevance tuning, autocomplete, faceted search, and personalized recommendations for e-commerce and content platforms
Unified observability with metrics, logs, and traces in a single platform using Elastic Observability with APM, infrastructure monitoring, and synthetic testing
Advanced analytics and reporting with machine learning-powered insights, anomaly detection, and predictive analytics for operational intelligence
Search and analyze data across data lakes with schema-on-read capabilities, supporting structured and unstructured data with SQL and native Elasticsearch queries
Click on any use case panel above to see comprehensive analysis including strengths, limitations, best-fit scenarios, and integration details. Our evaluation goes beyond surface-level features to provide real-world performance insights.
Enterprise search across documents, emails, and collaboration tools to improve productivity and knowledge discovery in modern workplaces
Analyze customer interactions, support tickets, and feedback to improve service quality and identify opportunities for better customer experiences
Monitor compliance with regulatory requirements through automated log analysis, audit trails, and real-time alerting for security and compliance events
Real-time operational insights across IT infrastructure, applications, and business processes to optimize performance and reduce downtime
Enterprise-grade search and analytics capabilities that scale with your data and use cases
Full-text search, fuzzy matching, geo-spatial queries, and complex aggregations
Interactive visualizations, real-time dashboards, and data exploration tools
Anomaly detection, forecasting, and automated insights from your data
Role-based access control, encryption, and comprehensive audit capabilities
Lightweight data shippers for logs, metrics, and network data collection
Data transformation and enrichment pipeline for complex data processing
Not just "integrates with" – here's the specific value each integration delivers:
Delivers: Native AWS service monitoring, CloudWatch logs ingestion, and automated discovery of EC2 instances and Lambda functions for comprehensive cloud infrastructure visibility
Delivers: Container log aggregation, Kubernetes metrics collection, and automated service discovery for microservices observability and troubleshooting
Delivers: LDAP authentication, role mapping, and user management integration for enterprise security and compliance requirements
Delivers: SMTP alerting, email parsing, and automated incident response workflows for operational intelligence and security monitoring
Delivers: JDBC drivers for SQL databases, MongoDB connector, and automated schema discovery for unified data analytics across disparate systems
Delivers: RESTful APIs, webhooks, and custom connectors for seamless data ingestion from third-party applications and services
Real-world experiences from organizations using Elastic for search and analytics
"Elastic powers our real-time analytics infrastructure, processing billions of events daily to provide insights that drive our content recommendations and system reliability."
"Elastic Security has transformed our threat detection capabilities. The SIEM solution provides comprehensive visibility across our global infrastructure with advanced correlation and automated response."
"Our search infrastructure on Elastic handles millions of queries per second with sub-millisecond response times. The relevance tuning and personalization features drive significant improvements in user engagement."
Comprehensive learning resources and documentation for Elastic implementation and optimization
Complete technical documentation for all Elastic products and features
View Docs →Step-by-step guide for deploying and configuring your first Elastic cluster
Get Started →Comprehensive walkthrough of monitoring, logging, and APM capabilities
Watch Video →Hands-on workshop covering threat detection and SIEM implementation
Watch Video →Best practices for deploying and managing large-scale Elastic clusters
Read Article →How to leverage ML capabilities for anomaly detection and forecasting
Read Article →Perfect for: Organizations wanting managed Elastic infrastructure
Perfect for: Organizations with infrastructure teams
Perfect for: Large enterprises with complex requirements
Common questions about Elastic deployment, scaling, and use cases
Elastic scales horizontally through clustering - you can add more nodes to handle increased data volume and query load. Elasticsearch automatically distributes data across nodes and rebalances as you scale.
Elastic Cloud is a fully managed service where Elastic handles infrastructure, updates, and scaling. Self-managed gives you full control over deployment, configuration, and maintenance but requires your team to handle operations.
Yes, Elastic is designed for real-time data ingestion and search. With proper configuration, you can achieve sub-second indexing and search response times even with high ingestion rates.
Elastic includes comprehensive security features: TLS encryption, role-based access control, audit logging, field-level security, and integration with external authentication systems like LDAP and SAML.
Elastic excels at search and analytics workloads that traditional databases struggle with. It's optimized for full-text search, complex aggregations, and real-time analytics rather than transactional consistency.
Elastic offers multiple support tiers: community support (free), basic support, enhanced support, and premium support with dedicated technical account management and faster response times.
Certified partners to help you deploy and optimize your Elastic implementation
Specialty: Full-stack Elastic implementation and optimization
Elastic's own professional services team provides expert guidance for complex deployments, migrations, and performance tuning.
Specialty: Enterprise Elastic deployments and managed services
Specialized in large-scale Elastic implementations with focus on security, compliance, and operational excellence.
Specialty: Cloud-native observability and container monitoring
Experts in Kubernetes and cloud-native deployments with deep integration between Sysdig and Elastic platforms.
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