Open-Source Databases · sjjian

openhare

OpenHare is a lightweight, open-source desktop SQL client built with Flutter that connects to MySQL, PostgreSQL, SQL Server, SQLite, Oracle, MongoDB, and Redis. It includes AI-powered query assistance and runs natively on Windows, macOS, and Linux without requiring a bundled browser engine.

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Source: GitHub — github.com/sjjian/openhare

710

GitHub stars

Forks

Dart

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	sjjian/openhare
Owner	sjjian
Primary language	Dart
License	Apache-2.0 — OSI-approved
Stars	710
Forks	39
Open issues	9
Latest release	0.12.0 (2026-06-19)
Last updated	2026-06-19
Source	https://github.com/sjjian/openhare

What openhare is

A Flutter-based desktop application using Dart for the UI layer and Go (via FFI) for database drivers. State management via Riverpod, local storage via ObjectBox, and database connectivity through established Go libraries (go-sql-driver/mysql, jackc/pgx, microsoft/go-mssqldb, etc.). AI assistance for SQL generation and validation is built in.

Quickstart

Get the openhare source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/sjjian/openhare.git2cd openhare3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Multi-Database Development & DBA Workflows

Teams managing queries across MySQL, PostgreSQL, SQL Server, Oracle, and SQLite can use a single native client with consistent UX. No need to maintain separate clients per database.

AI-Assisted SQL Development

Developers can leverage built-in natural language-to-SQL (NL2SQL) functionality and AI query optimization suggestions, with confirmation gates on high-risk statements to prevent accidental destructive operations.

Resource-Constrained Environments

Flutter's lightweight native compilation and lack of bundled browser engine make it suitable for laptops and machines where traditional Electron-based clients consume excessive memory.

Implementation considerations

Requires Go SDK installed for building from source; pre-built binaries (Windows/macOS/Linux) simplify user deployment.
AI features require integration with an LLM service (provider/API not specified in README; requires investigation).
MongoDB support depends on mongosh-compatible syntax via gomongo; verify compatibility with your MongoDB version and query patterns.
FFI layer bridges Dart UI to Go drivers; performance is typically excellent for local dev but confirm latency tolerance for remote database connections.
Local storage (ObjectBox) stores connection profiles and history; ensure credential handling meets your security policy (encrypted storage not confirmed in README).

When to avoid it — and what to weigh

Enterprise Single Sign-On / Advanced Authentication — No evidence of LDAP, SAML, OAuth, or Kerberos integration in the README. If your organization requires those auth mechanisms, assessment is needed.
Real-Time Collaboration & Team Query Sharing — This is a desktop client designed for individual use. No built-in multi-user workspace, shared queries, or audit logging for team environments.
Mission-Critical Production Query Execution — While high-risk statements are flagged, OpenHare is positioned as a development/analysis tool. If you need enterprise governance, execution policies, and audit trails, consider purpose-built tools.
Unsupported Database Systems — Only supports MySQL, PostgreSQL, SQL Server, SQLite, Oracle, MongoDB, and Redis. If you need Snowflake, BigQuery, Cassandra, or other niche databases, this is not a fit.

License & commercial use

Licensed under Apache License 2.0, a permissive OSI license allowing commercial use, modification, and distribution with attribution and liability disclaimer.

Apache 2.0 permits commercial use and closed-source derivatives. However, any modifications to OpenHare itself must remain under Apache 2.0 if distributed. Verify that your use case (e.g., white-labeling, bundling with proprietary software) aligns with license obligations before production deployment.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

No explicit security audit or formal threat model mentioned. Considerations: (1) Credential storage mechanism not documented—verify if connection passwords are encrypted at rest. (2) FFI layer to Go code requires vetting of Go driver security posture. (3) AI feature sends queries to external LLM service (provider unspecified)—review data leakage risk. (4) No evidence of code signing or binary verification. (5) Local ObjectBox storage should be restricted to current user. Recommend security review before sensitive production use.

Alternatives to consider

DBeaver Community

Mature multi-database client, broader feature set (ER diagrams, migration, team workspaces), but heavier footprint. Electron vs. Flutter.

DataGrip (JetBrains)

Professional IDE for SQL with AI-assisted editing, but commercial license required and significant resource overhead. Preferred for enterprise teams.

Beekeeper Studio

Lightweight Electron-based client with SQLite, MySQL, PostgreSQL support and simple UI. No AI features; smaller database support scope than OpenHare.

Software development agency

Build on openhare with DEV.co software developers

Start by downloading a pre-built binary or reviewing the GitHub repository. Clarify AI integration details, credential storage, and security requirements with the maintainer before production use.

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openhare FAQ

Does OpenHare support cloud databases (AWS RDS, Azure SQL, Google Cloud SQL)?

Yes, if they expose a standard MySQL, PostgreSQL, SQL Server, or Oracle protocol endpoint. Network connectivity and firewall rules must permit desktop client to reach the database.

How does the AI feature work and what data is sent?

README mentions 'AI-Powered Assistance' for NL2SQL and optimization but does not document the LLM provider, API endpoint, or data handling. This requires clarification before use in sensitive environments.

Can I automate queries or integrate OpenHare into CI/CD pipelines?

Not evident from README. OpenHare is designed as a desktop GUI client; if you need programmatic access or scripting, consider the underlying database drivers directly or alternative CLI tools.

Is there a server or SaaS version of OpenHare?

No. OpenHare is a standalone desktop application. No cloud-hosted or multi-user server variant is mentioned.

Work with a software development agency

Adopting openhare is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source databases software in production.

Ready to Evaluate OpenHare for Your Team?

Start by downloading a pre-built binary or reviewing the GitHub repository. Clarify AI integration details, credential storage, and security requirements with the maintainer before production use.

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