18 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.
Native macOS client built for Elasticsearch and OpenSearch, with index, alias and mapping management, saved REST requests, and SSH tunnels, from $49.99 a year or $179 one-time. Needs macOS 15.
Native Elasticsearch UI alongside OpenSearch, Typesense, Meilisearch, plus SQL, NoSQL, and vector 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 | 7.9k | Generic | Developers who need a deployable web-based DB manager that fits in a single PHP file | |
FreeFree trial (14d)$20/mo | 14.7k | 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 (7d)$16/mo$99 lifetime | 28.3k | Generic | Developers who want AI-assisted SQL authoring across many SQL engines in one client | |
FreeFree trial (30d)$109/yr | — | Generic | Developers who want an IDE-grade SQL editor with refactoring, navigation, and Git integration | |
FreeFree trial (14d)$113/yr | 52.3k | 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 | |
FreeFree trial (7d)$99/yr | 1.1k | Native | Developers managing Elasticsearch, OpenSearch, MongoDB, or DynamoDB who want one desktop client with AI-assisted querying | |
Free | 2.8k | Native | Developers and operators who need a focused Elasticsearch GUI for index, document, and cluster management | |
Free | 623 | Native | Developers and operators who want a small, fast desktop GUI focused on Elasticsearch cluster and index operations | |
FreeFree trial (14d)$99/mo | 21.4k | Native | Engineers running Elasticsearch who want the official UI for search, dashboards, observability, and security analytics | |
Free | 464 | Native | Operations teams running fleets of Elasticsearch clusters who need centralized multi-tenant management, monitoring, and self-service provisioning | |
Free | 28.9k | Native | Teams that want a self-hosted, browser-based SQL editor and dashboarding layer over many data sources | |
Free$49.99/yr$179 lifetime | — | Native | macOS developers and operators who want a fast native GUI for Elasticsearch and OpenSearch instead of a web-based tool | |
Free$24/yr$59 lifetime | 6.3k | Generic | Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad | |
Free | 272 | Generic | Teams working across several vector databases who want one desktop app to browse data and inspect embeddings |
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, MongoDB, 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
Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad
Teams working across several vector databases who want one desktop app to browse data and inspect embeddings
Detailed comparison
Modern database GUI for SQL, NoSQL, vector, and search databases
Best for: Developers who work across multiple database types and want one fast, modern GUI
Key differentiator: One GUI for SQL, NoSQL, vector, and search databases. Purpose-built UX per type, not a generic editor reused
Pros
- Covers SQL, NoSQL, vector, and search 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
Adminer
Since 2007Database 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 that drops onto any PHP host and runs
Pros
- Entire app ships as a single PHP file you 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 built in
Supported Databases
Amazon SimpleDBPlatforms
Bytebase
Since 2021Database governance platform for schema change management, data access control, and SQL review across major databases
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, so 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
- Built-in MCP server and AI assistant in the SQL editor
Cons
- Open-core, so many governance features (approval workflow, just-in-time access, dynamic masking, SCIM) are Enterprise-only
- Free Community plan caps you at 20 users and 10 database instances
- Web-only deployment, no desktop client
- Workflow-heavy UX with a learning curve compared to a plain query tool
Supported Databases
Amazon DocumentDBAmazon DynamoDBAmazon RedshiftPlatforms
Cerebro
Since 2016Open 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
- Appears unmaintained: last release v0.9.4 in April 2021 and no code commits since July 2021
- Requires Java 11+ runtime to self-host
- No standalone desktop app, runs as a web service
Supported Databases
Platforms
Chat2DB
Since 2023AI 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, so natural-language prompts produce queries inside the editor
Pros
- Natural-language to SQL powered by built-in AI models
- Free Community edition with source code on GitHub
- Wide SQL database coverage including cloud warehouses and Chinese-market engines
- Visual table and data editor with SQL formatting
- Desktop app, web client, Docker image, and CLI with MCP support
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
- Community 5.3.0 and later use a modified Apache-2.0 license that bars offering it as a service or embedding it without a commercial deal
Supported Databases
Amazon RedshiftPlatforms
DataGrip
Since 2015Cross-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
- Commercial use requires a paid subscription; the free license covers non-commercial use only
- 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
DBeaver
Since 2010Universal 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 RedshiftAmazon DynamoDBAmazon DocumentDBkeyspacesAmazon TimestreamAmazon NeptunePlatforms
DbVisualizer
Since 1999The 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 native 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
- Native 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
- Explain plans, the query builder, table data editing, data import, most export formats, charts, Git integration, and the AI assistant need the Pro subscription
- No mobile, tablet, or browser-based version, desktop only
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Dejavu
Since 2016Web 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
- No release or commit on the main branch since 3.10.0 in September 2025
Supported Databases
Platforms
DocKit
Since 2024Agentic desktop GUI for MongoDB, Elasticsearch, OpenSearch, DynamoDB, and EasySearch
Best for: Developers managing Elasticsearch, OpenSearch, MongoDB, or DynamoDB who want one desktop client with AI-assisted querying
Key differentiator: Unifies Elasticsearch, OpenSearch, MongoDB, and DynamoDB in one Tauri-based desktop app with an AI agent for natural-language queries
Pros
- Free Community edition is open source under Apache-2.0 with unlimited connections
- AI agent writes queries and inspects schemas, with OpenAI, Anthropic, DeepSeek, or offline Ollama and LM Studio
- 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 NoSQL and search engines; SQL databases need the separate SqlKit app
- AI agent, batch import/export, and SSH tunnels require the Ultimate plan ($9.9 per month or $99 per year)
- AI features use your own LLM API key or a local model
Supported Databases
Amazon DynamoDBPlatforms
Elasticvue
Since 2018Free 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
- Hosted web app, self-hosted, and Docker versions need CORS configured on the cluster (desktop app and browser extension do not)
Supported Databases
Platforms
ES-King
Since 2024Modern, 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
- Document editing, bulk JSON/CSV import, templates, ILM, and snapshot management
- Communicates over the Elasticsearch REST API, so it works across most ES versions
Cons
- Single-database scope (Elasticsearch only)
- No visualization or dashboarding layer
- Primary readme and community channels are in Chinese, with a shorter English readme
Supported Databases
Platforms
Kibana
Since 2013Open 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, with Discover, Lens, Dashboards, Dev Tools
- Built-in 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
- Elastic supports macOS for development only, not for production deployments
Supported Databases
Platforms
KnowSearch
Since 2021Zero-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
- Appears abandoned: no commits to the GitHub repo since March 2024
Supported Databases
Platforms
Redash
Since 2013Connect 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 with 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 with no native desktop client
- Initial setup and infrastructure maintenance fall on the operator
Supported Databases
Amazon DynamoDBAmazon RedshiftPlatforms
Rubber
Since 2025Native 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 with fast handling of multi-megabyte JSON responses
- Full cluster management for indices, aliases, mappings, and documents
- Tabbed interface for parallel work across multiple clusters
- SSH tunnels, HTTP and SOCKS5 proxies, and mTLS, with credentials in the macOS Keychain
- Reusable query templates and saved REST requests
Cons
- macOS only (macOS 15 or later), no Windows or Linux builds
- Free version is for personal use only, with one connection window and three tabs per tool
- Closed-source proprietary product
Supported Databases
Platforms
TablePro
Since 2025Free and open source native database client for Mac, iPhone, and iPad
Best for: Mac developers who want a free, native GUI across many SQL and NoSQL engines, with a companion app for iPhone and iPad
Key differentiator: Free and AGPLv3 with all 37 engines unlocked, built as a native Swift app with an AI assistant and a built-in MCP server
Pros
- Native Swift and SwiftUI app with no Electron, Java, or web views
- Mac app is free with no trial limit, and all 37 supported engines, AI, MCP, and Safe Mode are in the free tier
- Free iPhone and iPad app on the App Store for MySQL, MariaDB, PostgreSQL, SQLite, DuckDB, Redis, SQL Server, Oracle, and more
- AI assistant with many providers, including local models, plus a built-in MCP server for Claude Code, Cursor, and Zed
- Safe Mode levels per connection, with Touch ID or password for production writes
- Imports connections and saved passwords from TablePlus, Sequel Ace, DBeaver, DataGrip, Beekeeper Studio, and Navicat
Cons
- No Windows version, and the Linux app is an unreleased prototype
- iPhone and iPad app covers fewer engines than the Mac app
- Compare & Sync, Query Insights, Data Rewind, and iCloud Sync need the paid Starter plan
- Team plan requires a minimum of five seats
- Young project, so a shorter track record than older clients
Supported Databases
Amazon RedshiftAmazon DynamoDBPlatforms
Desktop app to explore and manage vector databases with embedding visualization
Best for: Teams working across several vector databases who want one desktop app to browse data and inspect embeddings
Key differentiator: Embedding visualization in 2D and 3D combined with support for eight different vector databases in one app
Pros
- Connects to eight vector stores from one desktop app
- Browse collections and run vector and hybrid searches
- Visualize embeddings in 2D and 3D with UMAP, t-SNE, or PCA, plus clustering
- Free and open source under the MIT license
Cons
- Small project with a modest user base
- Desktop only, no hosted or web version
Supported Databases
Platforms
Elasticsearch GUI clients FAQ
What is the best free Elasticsearch GUI client?
Is Kibana the official Elasticsearch GUI?
What's the best Elasticsearch GUI for cluster admin?
What's the best Elasticsearch GUI for data browsing and editing?
What's the best Elasticsearch GUI for Mac?
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