KeeperDB 1.8.3
Released on May 8, 2026
KeeperDB 1.8.3
KeeperDB is a fast, secure, cross-platform database management tool. Use it inside KeeperPAM connections or as a standalone app on Windows, macOS, and Linux.
Query, explore, and operate PostgreSQL, MySQL, SQLite, Microsoft SQL Server, Oracle, and Amazon Redshift from one interface.
KeeperDB is built for engineers and data scientists. It replaces legacy tools like DBeaver, MySQL Workbench, and pgAdmin. In KeeperPAM, it brings core database workflows into a fully managed passwordless experience.
Standalone Desktop App
Download from https://www.keepersecurity.com/download.html?t=db
KeeperPAM Connection
Integration with the PAM Database connection resources is available with the latest Vault 17.6 and Keeper Gateway 1.8.0.
Features
Cross-platform native app for Windows, macOS and Linux
PostgreSQL, MySQL, SQLite, Microsoft SQL Server, Oracle, and Amazon Redshift — all from one tool, with consistent UI and behavior across protocols
Query editor with SQL autocomplete (Ctrl+Space), multi-statement execution, and a record view toggle
Data browser with paginated grids, filtering and CSV/JSON export
Notebook for combining SQL and Markdown cells into reusable analyses and runbooks
ER diagram for visualizing schema relationships
Monitor for real-time process activity, blocking chains, locks, server parameters, and one-click process termination — protocol-aware for PostgreSQL, MySQL, MSSQL, and Oracle.
KeeperAI built in
A context-aware AI assistant that sees your structure and live performance data
Bring your own AI provider: OpenAI, Anthropic, Google Gemini, AWS Bedrock, Google Vertex, Azure OpenAI, or any OpenAI-compatible endpoint
Autonomous agent loop for multi-step tasks like query optimization, error triage, and performance investigation
"Ask KeeperAI" available directly from the ER diagram
Security and enterprise readiness by default
Zero-knowledge: session credentials are saved to the secure storage (Keychain) never written to disk in plaintext
Mandatory confirmation flow for destructive queries
Backend limit enforcement and pagination on every query — built for enterprise-scale schemas without runaway result sets
Architecture
Built for performance and security. KeeperDB is built as a single self-contained Rust binary — no Java runtime, no Electron, no separate components to install or update. The result is a fraction of the memory footprint of JVM-based tools like DBeaver, near-instant startup, a much smaller security attack surface, and a signed installer that ships as one compact native app instead of a multi-hundred-megabyte distribution.
Credential Storage
KeeperDB Desktop stores credentials in the OS-native secret store on every platform. All entries are stored under the service identifier com.keepersecurity.keeperdb.
macOS
Keychain Services (login keychain). Visible in Keychain Access.app.
Windows
Windows Credential Manager (Generic Credentials). Visible under Control Panel → Credential Manager → Windows Credentials, or via cmdkey /list.
Linux
freedesktop Secret Service over D-Bus. Backed by GNOME Keyring, KDE KWallet, or KeePassXC, depending on which is running in your desktop session.
What is stored
Saved connection passwords — only when you explicitly choose to save a connection in the UI
AI provider API keys — OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure OpenAI, etc.
What is not stored on disk
Live session credentials for the currently-connected database live only in memory and are never written to disk. If you restart KeeperDB, you must reconnect.
The next update to Keeper Forcefield will also protect the application memory on Windows devices to protect against local malware. This will be released later in May 2026.
Get KeeperDB
The standalone KeeperDB Desktop App is available from our download page:
https://www.keepersecurity.com/download.html?t=db
Roadmap
KeeperDB is a new product and we have a large roadmap planned. We will be publishing weekly updates based on customer feedback. If you have any feature requests or bugs, please contact pam@keepersecurity.com or post on our Reddit community page.
Resources
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