Elastic Stack
Data visualization tools
Document databases
Graph databases
Data fabric software
Big data integration platforms
Stream analytics software
Log analysis software
DevSecOps software
Business intelligence software
Database software
NoSQL databases
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Elastic Stack and its alternatives fit your requirements.
Pay-as-you-go
Free TrialFree version
Small
Medium
Large
- Education and training
- Media and communications
- Construction
What is Elastic Stack
Elastic Stack is a set of products centered on Elasticsearch for indexing and searching data, commonly used for log analytics, application performance monitoring, and security analytics. It typically ingests data via Beats and Logstash, stores and queries it in Elasticsearch, and visualizes and explores it in Kibana. The stack is used by IT operations, security teams, and developers to search high-volume event data and build dashboards and alerts. It is available as self-managed software and as a managed cloud service under Elastic Cloud.
Fast search on event data
Elasticsearch provides distributed indexing and full-text search optimized for time-series and semi-structured event data such as logs and metrics. It supports near real-time querying, aggregations, and filtering that fit operational troubleshooting and security investigations. The architecture scales horizontally across nodes, which helps teams handle growing ingestion rates and retention needs. This makes it well-suited for interactive exploration compared with many dashboard-only tools.
Broad ingestion and parsing options
Logstash and Beats provide multiple input connectors and agents for collecting logs, metrics, and traces from common systems and platforms. Logstash pipelines support parsing, enrichment, and routing with a large plugin ecosystem, enabling normalization before indexing. Elastic Agent and integrations (in Elastic’s observability/security offerings) can simplify deployment for common sources. These capabilities reduce the need for separate ETL tooling for many operational analytics use cases.
Integrated dashboards and alerting
Kibana provides dashboards, ad hoc exploration, and saved visualizations on top of Elasticsearch indices. Alerting and rule-based detection are available through Kibana and Elastic’s observability/security features, supporting operational monitoring workflows. Role-based access control and spaces (in supported license tiers) help separate teams and environments. This integrated workflow can cover collection, search, visualization, and alerting within one stack.
Operational complexity at scale
Running Elasticsearch clusters requires ongoing capacity planning, shard and index lifecycle management, and careful tuning for performance and cost. Misconfiguration can lead to unstable clusters, slow queries, or high storage overhead. Upgrades and version compatibility across stack components can add operational burden in self-managed deployments. Managed service options reduce this but do not eliminate the need to understand cluster behavior.
Not a general-purpose database
Elasticsearch is a search and analytics engine rather than a transactional database, and it does not provide the same ACID guarantees and relational constraints as traditional database systems. Data modeling often requires denormalization and careful mapping choices, which can be unfamiliar to teams expecting relational patterns. Workloads that require complex multi-row transactions or strict referential integrity may be a poor fit. Some “database” use cases can be supported, but trade-offs are significant.
Licensing and feature tiering
Elastic Stack includes open-source components, but many enterprise capabilities (for example, certain security, alerting, and management features) depend on Elastic’s commercial licensing tiers. Organizations may need to evaluate which features are available in their chosen distribution and subscription level. This can complicate procurement and long-term cost forecasting compared with simpler, single-tier products. Legal and compliance teams often require additional review due to licensing differences across components and versions.
Plan & Pricing
Elastic Stack pricing (official Elastic.co)
A) Elastic Cloud Hosted (tiered plans)
| Plan | Price | Key features & notes |
|---|---|---|
| Standard | As low as $99 per month | Entry hosted tier: distributed search/AI platform, monitoring on by default. (Price shown is based on cloud production config: 120 GB storage / 2 zones). |
| Gold | As low as $114 per month | Adds reporting, third-party alerting actions, Watcher, multi-stack monitoring. |
| Platinum | As low as $131 per month | Adds advanced security, machine learning (anomaly detection, supervised learning), cross-cluster replication, SLA for higher tiers. |
| Enterprise | As low as $184 per month | Full feature set (GPU inference, Elastic AI Assistant, Workflows), highest support/SLA. |
(Prices above are shown on Elastic Cloud Hosted pricing page and noted as “As low as” based on a specific cloud configuration).
B) Self-managed subscriptions (tiered; on-prem)
| Plan | Price | Key features & notes |
|---|---|---|
| Basic | Free ("Free and open") | Basic tier is free/open (Elastic License); includes core Elasticsearch/Kibana capabilities. |
| Platinum | Contact sales (paid) | Paid self-managed subscription with advanced features (ML, advanced security, enterprise features). |
| Enterprise | Contact sales (paid) | Top-tier self-managed subscription; contact Elastic for pricing. |
.
C) Elastic Serverless / Observability (usage-based pricing)
Pricing model: Pay-as-you-go (usage-based) Free tier/trial: Try for free (serverless pages show "Try for free"); egress: 50 GB free before charges.
Example costs (from Elastic Observability Serverless):
- Logs Essentials ingest: As low as $0.07 per GB ingested.
- Logs Essentials retention: As low as $0.017 per GB retained per month.
- Logs/Observability egress: 50 GB free, then $0.05 per GB transferred per month.
- Observability Complete ingest: As low as $0.09 per GB ingested; retention as low as $0.019 per GB retained per month.
Optional add-ons (serverless page):
- Synthetic monitoring browser tests: $0.0123 per test run.
- Synthetic lightweight test locations: $28.00 per location/month.
- Elastic Managed LLM: $4.50 per million input tokens and $21 per million output tokens.
.
Seller details
Elastic N.V.
Amsterdam, Netherlands
2012
Public
https://www.elastic.co/
https://x.com/elastic
https://www.linkedin.com/company/elastic-co/
