🩺 Vitals
- 🟢 Last active: 2026-07-23
- 📦 Latest release: v0.28.0 (2026-07-21)
- 🐞 Open issues: 4
- 🌟 Stars: 1.6k
What do these metrics mean?
- Last active: when code was last pushed, as of our last check. The dot is green when that was recent, grey otherwise. A long gap can mean a tool is finished and stable, not only unmaintained.
- Latest release: the most recent tagged, packaged version the maintainers published. Not every healthy project tags releases.
- Open issues: unresolved reports and requests. A high number is normal for a popular project and is not a warning on its own.
- Stars: how many people bookmarked the project on its forge. A rough popularity signal, not a measure of quality.
🏗️ Profile
- Official: datapeek.dev
- Source: github.com/Rohithgilla12/data-peek
- License: MIT (Source) / Commercial (Pre-built binaries, teams)
- Deployment: Desktop
- Data Model: Connects to four SQL engines (PostgreSQL, MySQL, SQLite and more); credentials stored in the OS keychain; exports to CSV / JSON / Excel / Markdown
- Jurisdiction: India 🇮🇳 (Individual Maintainer)
- Compliance (SaaS): N/A (No managed offering)
- Compliance (Self-Hosted): Self-Hosted (User Managed)
- Complexity: Low (1/5) - Desktop installer; no server infrastructure
- Maintenance: Low (1/5) - Desktop app updates only; single-maintainer continuity risk
- Enterprise Ready: Low (1/5) - No central management, SSO or audit logging; honor-system commercial licensing
1. The Executive Summary
What is it? data-peek is a lightweight desktop SQL client — a fast, low-bloat GUI for querying PostgreSQL, MySQL, SQLite and other engines, with a notebook mode, an optional AI query assistant, and native exports to CSV, JSON, Excel, and Markdown. It is local-first: connections and queries run from your machine, credentials live in the OS keychain, and nothing is sent to a vendor server (the one exception is the optional AI assistant, which calls whichever AI provider you configure). The source is MIT-licensed; the convenience is the pre-built binary.
The Strategic Verdict:
- 🔴 For Large Standardised Engineering Orgs: Caution. This is a single-maintainer project (~1.6k stars, bus factor of one) with no central management, SSO, or audit logging, and the pre-built binaries carry a commercial-licence requirement for for-profit teams. Mature, fully-open clients (DBeaver, Beekeeper Studio) are the safer default where zero binary restrictions and a broad contributor base matter more than minimalism.
- 🟢 For Solo Developers and Small Privacy-Conscious Teams: Strong Buy. Free for personal and solo-founder use, no telemetry, and credentials never leave the OS keychain. For developers who want a fast client without the IDE-scale footprint of DataGrip or the per-seat cost of TablePlus, the MIT source guarantees a build-from-source escape hatch that keeps it sovereign.
2. The "Hidden" Costs (TCO Analysis)
| Cost Component | TablePlus (Proprietary) | data-peek (Self-Hosted) |
|---|---|---|
| License Fee | Per-seat paid licence | Free for solo/personal; paid tier for for-profit teams of 2+ |
| Source Availability | Closed source | MIT source — build the binary yourself, no fee |
| Telemetry | Vendor-defined | None; credentials in OS keychain, queries stay local |
| Vendor Lock-in | Proprietary app & format | Open source; exports to CSV / JSON / Excel / Markdown |
3. The "Day 2" Reality Check
🚀 Deployment & Operations
- Installation: A standard desktop installer for macOS, Windows, and Linux (or compile the MIT source). No server, no database to host — it is a client that connects to databases you already run. Organisational rollout is installer distribution plus licence governance, not infrastructure.
- Scalability: Not applicable in the server sense — data-peek is a single-user desktop client. "Scale" here means licence and configuration management across workstations: deciding centrally whether teams use the licensed binary or a from-source build, and whether the AI assistant is permitted.
🛡️ Security & Governance (Risk Assessment)
- Jurisdiction & Data Path: The maintainer is an individual based in India, with no corporate entity or foundation to sign an agreement or SLA with. For a local client this is largely immaterial — queries and credentials never transit the maintainer's infrastructure, neutralising cross-border data-transfer concerns. The one data-egress path to govern is the optional AI assistant: when enabled, query and schema context is sent to whichever AI provider you configure, so disable it for sensitive databases.
- The Compliance Shift: As a local client, the compliance burden is entirely yours. data-peek holds no certifications and processes nothing on a vendor server; your posture is set by database-side audit logging, network controls, and endpoint/MDM management, not by the application. The client is a query surface, not a compliance boundary.
- License & Continuity Risk (The Real Trap): This is the decision that matters. The source is MIT and fully unrestricted — but the pre-built binaries require a paid Pro licence for commercial use inside a for-profit team of two or more (solo founders, personal use, OSS, and students are free). Enforcement is honor-system with no DRM, and a from-source build is always free and legal, so the binary restriction is a procurement-hygiene question, not a hard lock. Weigh it against the continuity risk: a bus factor of one and no foundation backing mean a fully-open client may be the more defensible long-term bet.
4. Market Landscape
🏢 Proprietary Incumbents
- TablePlus: The popular paid, closed-source modern SQL client. Teams evaluate data-peek to gain MIT source access and a build-from-source escape hatch rather than a fully proprietary binary.
- DataGrip: JetBrains' subscription database IDE — powerful but heavyweight and per-seat licensed. Developers who want a fast, minimal client without the IDE footprint or recurring subscription look to lighter open alternatives.
🤝 Open Source Ecosystem
- DBeaver: The mature, broadly-adopted open-source database client (Apache-2.0 community edition) supporting a wide range of engines. Heavier than data-peek, but fully open with no binary-use restriction and a large contributor base — the safer default for risk-averse organisations.
- Beekeeper Studio: A modern open-source SQL client with a free GPL-licensed community edition. Comparable minimalist focus to data-peek, with binaries that are free to use without a commercial tier.