16 Best Elasticsearch GUI Clients
Side-by-side comparison of free, open-source, and commercial Elasticsearch GUI clients for Mac, Windows, and Linux.
Last reviewed:
Editor's picks
Free MIT-licensed Elasticsearch GUI — Tauri-based desktop with cluster overview, node and shard inspection, REST query editor, and full data browser in one self-hosted client.
IntelliJ-platform IDE with Elasticsearch DSL editor, schema-aware completion, and Git integration — the strongest paid pick for developers managing Elasticsearch alongside SQL.
Native Elasticsearch UI alongside OpenSearch, Typesense, Meilisearch, plus SQL, NoSQL, vector, and graph databases — purpose-built UX per type, not a generic editor reused.
| Tool | Pricing | GitHub Stars | Native UI | Best For |
|---|---|---|---|---|
Free trial (7d)$108/yr$199 lifetime | — | Native | Developers who work across multiple database types and want one fast, modern GUI | |
Free | 7.4k | Generic | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
FreeFree trial (14d)$20/mo | 14.0k | Generic | Engineering teams that need a governed change-management workflow and SQL editor across multiple database types | |
Free | 5.6k | Native | Operators who self-host Elasticsearch and want a lightweight web admin UI for cluster and shard management | |
FreeFree trial (30d)$9.9/mo | 25.5k | Generic | Developers who want AI-assisted SQL authoring across many SQL engines in one client | |
Free trial (30d)$109/yr | — | Generic | Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration | |
FreeFree trial (14d)$113/yr | 49.9k | Generic | Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines | |
FreeFree trial (21d)$199/yr | — | Generic | Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app | |
Free | 8.5k | Native | Developers who want a quick, self-hostable web UI to browse, edit, and import data into Elasticsearch or OpenSearch | |
Free | 1.1k | Native | Developers managing Elasticsearch, OpenSearch, or DynamoDB who want one desktop client with AI-assisted querying | |
Free | 2.6k | Native | Developers and operators who need a focused Elasticsearch GUI for index, document, and cluster management | |
Free | 594 | Native | Developers and operators who want a small, fast desktop GUI focused on Elasticsearch cluster and index operations | |
FreeFree trial (14d)$99/mo | 21.1k | Native | Engineers running Elasticsearch who want the official UI for search, dashboards, observability, and security analytics | |
Free | 462 | Native | Operations teams running fleets of Elasticsearch clusters who need centralized multi-tenant management, monitoring, and self-service provisioning | |
Free | 28.6k | Native | Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources | |
Free$49.99/yr | — | Native | macOS developers and operators who want a fast native GUI for Elasticsearch and OpenSearch instead of a web-based tool |
Developers who work across multiple database types and want one fast, modern GUI
Developers who need a deployable web-based DB manager that fits in a single PHP file
Engineering teams that need a governed change-management workflow and SQL editor across multiple database types
Operators who self-host Elasticsearch and want a lightweight web admin UI for cluster and shard management
Developers who want AI-assisted SQL authoring across many SQL engines in one client
Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration
Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Developers who want a quick, self-hostable web UI to browse, edit, and import data into Elasticsearch or OpenSearch
Developers managing Elasticsearch, OpenSearch, or DynamoDB who want one desktop client with AI-assisted querying
Developers and operators who need a focused Elasticsearch GUI for index, document, and cluster management
Developers and operators who want a small, fast desktop GUI focused on Elasticsearch cluster and index operations
Engineers running Elasticsearch who want the official UI for search, dashboards, observability, and security analytics
Operations teams running fleets of Elasticsearch clusters who need centralized multi-tenant management, monitoring, and self-service provisioning
Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
macOS developers and operators who want a fast native GUI for Elasticsearch and OpenSearch instead of a web-based tool
Detailed Comparison
Modern database GUI for SQL, NoSQL, vector, search, and graph databases
Best for: Developers who work across multiple database types and want one fast, modern GUI
Key differentiator: One GUI for SQL, NoSQL, vector, search, and graph databases — purpose-built UX per type, not a generic editor reused
Pros
- Covers SQL, NoSQL, vector, search, and graph databases in one app
- Purpose-built UX per database type — not a generic SQL editor reused
- Vector search works on Qdrant, Milvus, pgvector, Elasticsearch — same UI
- Server overview per database — memory, ops/sec, replication, keyspace stats
- Built-in SSH tunnel support for all databases
- Clean, modern interface with dark and light mode
- Cross-platform — same experience on Mac, Windows, Linux
Cons
- Paid product — no free version (7-day trial available)
- Closed-source
Supported Databases
Platforms
Database management in a single PHP file
Best for: Developers who need a deployable web-based DB manager that fits in a single PHP file
Key differentiator: Full database manager delivered as one PHP file — drop on any PHP host and it works
Pros
- Entire app ships as a single PHP file — drop into any PHP host
- Dual-licensed Apache-2.0 or GPL-2.0
- Native drivers for several SQL databases plus plugin drivers for NoSQL and search
- Plugin and theme system for extending functionality
- Lightweight footprint compared to typical web admin panels
Cons
- Requires a PHP-capable web server to run
- Dense, utilitarian UI focused on tables and forms
- NoSQL and search support is plugin-based, not first-class
Supported Databases
Amazon SimpleDBPlatforms
Database DevOps and SQL editor for change management, access control, and review workflows
Best for: Engineering teams that need a governed change-management workflow and SQL editor across multiple database types
Key differentiator: Combines a multi-database SQL editor with change-management, review, and access-control workflows in one self-hostable platform
Pros
- Web-based collaboration UI for schema migrations, SQL review, and approval workflows
- GitOps integration — schema changes can flow through pull requests in GitHub or GitLab
- Built-in SQL review engine with 200+ lint rules across supported dialects
- Data masking and just-in-time access policies for sensitive columns
- Self-hostable via Docker or Kubernetes Helm charts; also offered as managed cloud
Cons
- Open-core — many governance features (SSO/SCIM, custom approval, dynamic masking) are gated to paid plans
- Web-only deployment — no desktop client
- Workflow-heavy UX with a learning curve compared to a plain query tool
Supported Databases
Amazon AuroraAmazon DocumentDBAmazon DynamoDBAmazon RedshiftPlatforms
Open source Elasticsearch web admin tool
Best for: Operators who self-host Elasticsearch and want a lightweight web admin UI for cluster and shard management
Key differentiator: Focused web admin console for Elasticsearch clusters with shard allocation visualization and a REST API editor
Pros
- Free and open source under MIT
- Web UI for cluster overview, shard allocation, and node stats
- Cluster management actions like index creation, aliases, and templates
- REST request editor with autocomplete for Elasticsearch APIs
- Lightweight deployment via JAR or Docker
Cons
- Elasticsearch only — no other database support
- Latest release v0.9.4 from April 2021 — no new releases since
- Requires Java 11+ runtime to self-host
- No standalone desktop app — runs as a web service
Supported Databases
Platforms
AI Text2SQL tool for easy database management
Best for: Developers who want AI-assisted SQL authoring across many SQL engines in one client
Key differentiator: Text2SQL workflow built into the SQL client — natural-language prompts produce queries inside the editor
Pros
- Natural-language to SQL powered by built-in AI models
- Open-source community edition under Apache-2.0
- Wide SQL database coverage including cloud warehouses and Chinese-market engines
- Visual table and data editor with SQL formatting
- Cross-platform desktop app plus hosted web client
Cons
- AI features in the community edition require bringing your own model API key
- Unlimited AI usage and full database catalog gated to the paid Pro plan
- NoSQL and graph database UIs are thinner than the SQL-first workflow
Supported Databases
Amazon RedshiftPlatforms
Cross-platform IDE for relational and NoSQL databases
Best for: Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration
Key differentiator: IntelliJ-platform SQL IDE with deep dialect-aware completion, refactoring, and code navigation
Pros
- Context-aware SQL completion with dialect-specific awareness
- Schema-aware refactoring and code navigation across SQL files
- Built-in version control integration with Git workflows
- Schema diff and structured data export across supported engines
- Local-history and editor features inherited from the IntelliJ platform
Cons
- Subscription-only pricing — no free version for non-students
- JVM-based IDE — heavier memory footprint than native clients
- NoSQL coverage limited to a few engines; SQL-first workflows
- Closed-source — not OSI-approved
Supported Databases
Amazon RedshiftAmazon DocumentDBAmazon DynamoDBPlatforms
Universal database tool for developers, SQL programmers, DBAs, and analysts
Best for: Developers and DBAs who manage many heterogeneous databases and want a single client that covers SQL, analytics, and select NoSQL engines
Key differentiator: Single Java-based client with one of the broadest database driver catalogs, backed by an Apache-2.0 open-source core
Pros
- Connects to a wide range of relational, analytical, document, key-value, graph, and search databases from a single client
- Community edition is open source under Apache-2.0 with no feature gating for core SQL workflows
- ER diagrams, visual query builder, data export and import, and SQL editor with syntax highlighting and autocomplete
- Cross-platform desktop builds for Windows, macOS, and Linux
- Active release cadence with frequent updates and a public issue tracker
Cons
- Java-based Eclipse RCP runtime leads to slow startup and high memory usage
- Dense Eclipse-style UI with many panels, perspectives, and preferences to learn
- NoSQL drivers, advanced schema compare, and team features are reserved for paid editions
Supported Databases
Amazon AuroraAmazon RedshiftAmazon DynamoDBAmazon DocumentDBAmazon KeyspacesAmazon TimestreamAmazon NeptunePlatforms
The universal database tool
Best for: Database professionals working across many SQL engines who want visual explain plans, schema diagrams, and a polished SQL editor in one desktop app
Key differentiator: Broad first-class engine coverage paired with visual explain plans, schema references diagrams, and a drag-and-drop query builder
Pros
- Free edition with a non-expiring perpetual license
- First-class support for a wide range of relational, NoSQL, cloud, and warehouse engines
- Visual explain plans and ER-style references diagrams for query and schema analysis
- Drag-and-drop visual query builder alongside a context-aware SQL editor
- AI assistant for query explanation, error analysis, and in-editor suggestions
Cons
- Java-based desktop app with bundled JRE — larger install footprint than native clients
- Advanced features (AI, Git integration, scheduled monitoring, premium drivers) gated behind the Pro subscription
- No mobile, tablet, or browser-based version — desktop only
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Web UI for OpenSearch and Elasticsearch
Best for: Developers who want a quick, self-hostable web UI to browse, edit, and import data into Elasticsearch or OpenSearch
Key differentiator: Spreadsheet-style data browser for Elasticsearch and OpenSearch with inline editing, JSON/CSV import, and a search UI builder — fully client-side
Pros
- Free and open source under the MIT license
- Browse, filter, and edit documents with a spreadsheet-style data view
- Import JSON and CSV data with field mapping configuration
- Bulk updates via Elasticsearch Query DSL
- Self-host via Docker or run the hosted web app — 100% client-side rendering
Cons
- Scope limited to data browsing, import, and search UI building — not a cluster admin tool
- Web-only — no native desktop builds
- Requires CORS configuration on the cluster for the hosted version
Supported Databases
Platforms
AI-native desktop GUI for Elasticsearch, OpenSearch, and DynamoDB
Best for: Developers managing Elasticsearch, OpenSearch, or DynamoDB who want one desktop client with AI-assisted querying
Key differentiator: Unifies Elasticsearch, OpenSearch, and DynamoDB in one Tauri-based desktop app with natural-language query generation
Pros
- Open source under Apache-2.0
- Natural-language query generation via OpenAI and DeepSeek integration
- Monaco editor with syntax highlighting and autocomplete
- Cluster monitoring and shard management for Elasticsearch and OpenSearch
- Cross-platform builds for Mac, Windows, and Linux
Cons
- Scope limited to Elasticsearch, OpenSearch, and DynamoDB
- MongoDB and Cosmos DB support still in progress or planned
- AI features require bringing your own OpenAI or DeepSeek API key
Supported Databases
Amazon DynamoDBPlatforms
Free Elasticsearch GUI as desktop app, browser extension, or hosted web app
Best for: Developers and operators who need a focused Elasticsearch GUI for index, document, and cluster management
Key differentiator: Elasticsearch-only client distributed across desktop, browser extension, hosted web, and Docker — pick the form factor that fits the cluster
Pros
- Free and open source under MIT license
- Ships as desktop app, browser extension, hosted web app, and Docker image
- Index, alias, shard, and snapshot management in one UI
- Built-in REST query interface for raw Elasticsearch requests
- Works across all Elasticsearch versions, including end-of-life releases
Cons
- Single-database scope — Elasticsearch only
- No dashboarding or visualization layer
- CORS configuration required when connecting to remote clusters from the browser extension or hosted web app
Supported Databases
Platforms
Modern, lightweight Elasticsearch GUI client under 10mb
Best for: Developers and operators who want a small, fast desktop GUI focused on Elasticsearch cluster and index operations
Key differentiator: Sub-10mb native desktop Elasticsearch client built with Wails, bundling cluster metrics, index operations, and a REST query window in one app
Pros
- Free and open source under Apache-2.0 license
- Lightweight installer — under 10mb, built on Wails
- Detailed cluster, node, index, shard, segment, and cache metrics in one view
- Index management — search, sample, alias, settings, refresh, merge, flush, close, open, delete
- Built-in REST query window with history, DSL keyword hints, and result export to CSV
- Communicates over the Elasticsearch REST API — works across most ES versions
Cons
- Single-database scope — Elasticsearch only
- No visualization or dashboarding layer
- Documentation and primary readme are in Chinese
Supported Databases
Platforms
Open source interface to query, analyze, visualize, and manage data stored in Elasticsearch
Best for: Engineers running Elasticsearch who want the official UI for search, dashboards, observability, and security analytics
Key differentiator: Official first-party UI for Elasticsearch with deep integration across Discover, Lens, Dashboards, observability, and security apps
Pros
- Free self-managed Basic tier with no time limit
- Purpose-built UI for Elasticsearch — Discover, Lens, Dashboards, Dev Tools
- First-class observability and security app suites (logs, APM, SIEM)
- KQL and ES|QL query support with autocomplete and schema awareness
- Managed Elastic Cloud option with 14-day free trial
Cons
- Single-database scope — only Elasticsearch
- Self-hosted server with Java/Node runtime — heavyweight to install and operate
- Triple-licensed under AGPL-3.0, SSPL-1.0, and Elastic-2.0 — AGPL is OSI-approved but SSPL and Elastic-2.0 are source-available
- macOS standalone builds ended after 8.17 — Docker required on Mac
Supported Databases
Platforms
Zero-intrusion, multi-tenant Elasticsearch GUI management platform
Best for: Operations teams running fleets of Elasticsearch clusters who need centralized multi-tenant management, monitoring, and self-service provisioning
Key differentiator: Zero-intrusion control plane that unifies management of multiple Elasticsearch versions through a native gateway, with multi-tenant resource governance built in
Pros
- Unified GUI management for Elasticsearch 5.x, 6.x, 7.x, and 8.x clusters
- Multi-tenant architecture with self-service cluster and index provisioning
- 30+ stability and performance risk inspections across cluster, node, and index dimensions
- 200+ metrics with trend analysis and DSL/SQL query exploration
- Built-in gateway for rate limiting, permission validation, and query template management
Cons
- Self-hosted only — requires deploying Java backend, console, and gateway components
- No published license — defaults to all-rights-reserved
- Documentation and UI primarily in Chinese
Supported Databases
Platforms
Connect to any data source, easily visualize, dashboard and share your data
Best for: Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources
Key differentiator: Open-source, browser-based SQL editor and dashboarding tool that connects to many heterogeneous data sources from a single self-hosted server
Pros
- Browser-based SQL editor with shareable dashboards and visualizations
- Wide data source coverage spanning SQL, NoSQL, big data, and time-series
- Scheduled queries, alerts, and REST API for automation
- Self-hosted via Docker — full control of data and deployment
- Permissive BSD-2-Clause license
Cons
- Self-hosted only — requires Docker, PostgreSQL, and Redis to run
- Browser-only access — no native desktop client
- Initial setup and infrastructure maintenance fall on the operator
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Native macOS GUI for Elasticsearch and OpenSearch
Best for: macOS developers and operators who want a fast native GUI for Elasticsearch and OpenSearch instead of a web-based tool
Key differentiator: Native macOS app built from the ground up for Elasticsearch and OpenSearch with low-lag handling of large query responses
Pros
- Native macOS app — fast handling of multi-megabyte JSON responses
- Full cluster management for indices, aliases, mappings, and documents
- Tabbed interface for parallel work across multiple clusters
- Keychain-based credential storage with mTLS support in PRO
- Reusable query templates and saved REST requests
Cons
- macOS only — no Windows or Linux builds
- Free tier excludes mTLS connection support and bulk operations
- Closed-source proprietary product
Supported Databases
Platforms
Frequently Asked Questions
What is the best free Elasticsearch GUI client?
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What's the best Elasticsearch GUI for data browsing and editing?
What's the best Elasticsearch GUI for Mac?
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