Since 1998, phpMyAdmin has been the standard web interface for MySQL and MariaDB - the tool millions of developers, DBAs, and hosting companies reach for when a database needs inspecting, fixing, or migrating. Written in PHP, it covers effectively the entire administration surface: create, browse, alter, and drop databases, tables, views, columns, and indexes; insert and edit rows through a tabular editor; manage user accounts and granular privileges; and maintain stored procedures, triggers, and events - all without touching a command line. The SQL editor executes arbitrary queries with syntax highlighting, autocompletion, history, and bookmarkable statements, including batch queries. Import/export is a migration workhorse: read SQL, CSV, XML, and OpenDocument spreadsheets in; write out to SQL dumps, CSV, JSON, XML, PDF, Word, LaTeX, and more - the fastest path for moving a WordPress database or handing a schema to a colleague. The Designer view renders your schema as an interactive ER diagram with drag-and-drop relationship editing, and data transformations display BLOBs as images or download links inline. Server maintenance views surface configuration suggestions. Multi-server support, dark mode, and translations into 72 languages round out a tool that earns its ubiquity. GPL-licensed.

Dolt is a SQL database that versions your tables the way Git versions files, so every row carries a history you can branch, diff, merge, and roll back. The command line mirrors Git command for command: dolt init, add, commit, checkout, log, and blame operate on tables instead of files, and merges happen cell by cell, with conflicting cells landing in dolt_conflicts tables you resolve by choosing ours or theirs. Run dolt sql-server and the same database answers on the MySQL wire protocol, so the mysql client, TablePlus, DataGrip, and your existing application drivers connect unchanged, while stored procedures like DOLT_CHECKOUT and DOLT_MERGE and system tables like dolt_diff and dolt_log put version control inside SQL itself. Teams push and pull databases through remotes on DoltHub, S3, GCS, or a filesystem, fork a database to test a risky migration, and cherry-pick the good commits back. AI agents get their own branches to write into, and a human reviews the row-level diff before anything merges to main. Data publishers ship corrections as commits subscribers can pull, and analysts query any historical snapshot with AS OF instead of restoring backups. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Transactions, analytics, full-text search, and vector retrieval stop needing four separate systems: MatrixOne folds them into one hyper-converged database engine that speaks the MySQL 8.0 wire protocol, so existing drivers, JDBC applications, Navicat, and BI tools connect unchanged. A single TAE storage engine serves OLTP and OLAP together, with compute and storage separated so query nodes scale independently of the data they scan. Vector columns carry IVF and HNSW indexes with L2, cosine, and inner-product distance, powering RAG and semantic search at billions scale beside your relational tables instead of in a sidecar database. Full-text indexing joins the same query, so hybrid searches combine keyword relevance and embedding similarity in one statement. Git-style version control for data lets teams clone, branch, and roll back datasets the way they already treat code, which makes experiments and audits reproducible. Streaming ingestion through Kafka connectors keeps analytical tables current, and the 4.2 line sharpens window-query performance, composite-index planning, and physical backup and restore that preserves table history. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Databasement puts scheduled backup and restore for nine database engines behind one polished web interface, deployed as a single Docker container on port 2226. The Laravel and Livewire backend uses native CLI tools for MySQL 5.6 through 9.x, PostgreSQL 12 through 18, MariaDB 10.x through 12.x, Microsoft SQL Server 2017 through Azure SQL, MongoDB 4.2 through 8.0, SQLite 3.x, Firebird 3.x through 5.x, Redis 2.8+, and Valkey 7.2+ with full restore support including cross-server recovery. SSH tunnel connectivity reaches databases behind firewalls via bastion servers with password or private key authentication, and remote agents handle isolated networks by connecting outbound over HTTPS without inbound ports. Scheduling supports arbitrary cron expressions with GFS grandfather-father-son retention alongside simple time-based cleanup. Storage spans local disk, S3-compatible services including AWS and MinIO, Azure Blob, Samba/SMB shares, and SFTP/FTP servers. Scheduled restores automate production-to-staging synchronization on recurring intervals. Failure notifications alert via Email, Slack, Discord, Telegram, Pushover, Gotify, and webhooks with detailed job logs. The REST API and built-in MCP server enable CI/CD pipeline integration and AI assistant access from Claude, Cursor, and VS Code Copilot. 1,700+ stars since November 2025. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Backed by 1,080+ GitHub stars and maintained by Percona with the latest release v3.8.1 in June 2026, Percona Monitoring and Management delivers the open-source database observability platform that provides a single pane of glass across MySQL, PostgreSQL, MongoDB, Valkey, and Redis databases deployed on-premises, cloud, or hybrid environments. The Go-powered PMM Server collects metrics from lightweight PMM Client agents with minimal performance impact, storing time-series data in ClickHouse for fast querying across configurable retention periods. Query Analytics ranks every query by load across all database engines from one unified dashboard, drilling from fleet-level performance down to individual problematic queries with explain plans, per-query metrics, and anomaly detection. Real-time Query Analytics streams live MongoDB operations updated every 1-5 seconds for immediate troubleshooting of lock contention and long-running queries. Built-in Percona Advisors continuously scan connected databases for security gaps, misconfigurations, and performance problems, distilling decades of DBA expertise into automated actionable recommendations. Percona Alerting integrates with 15+ notification channels including Slack, PagerDuty, email, and webhooks to trigger on custom metric thresholds. Database-specific dashboards visualize InnoDB storage engine details, WiredTiger cache metrics, PostgreSQL tuple activity, replication lag, and cluster health with annotations for root-cause correlation. Deployment options include Docker single-container setup, Podman rootless execution, and Helm charts for Kubernetes with Ingress controller support and ConfigMap management. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

pRESTd points at your PostgreSQL or MySQL database and instantly serves every table as a REST API, so the CRUD backend you were about to spend a week writing already exists. Every table answers at its own address with filtering, ordering, pagination, and column selection in the query string, and batch endpoints group several operations into one call. When a table endpoint is not enough, drop a SQL file into the queries folder and it becomes a named route with bound parameters, or store the scripts in the database and manage them through the admin API. Turn on the auth module and the server issues JWTs from your own users table, checks them on every route, and enforces table-level permissions so public tables stay open while payroll stays shut. The same database also appears as a read-only MCP endpoint, which lets Claude, Cursor, and other AI clients discover your tables and query them with your permissions instead of a copied export. One process can front several databases at once, Postgres and MySQL side by side, each under its own alias for tenants or reporting replicas. An embedded Studio in the same binary browses the catalog and rows, builds GET requests, and invokes MCP tools, so you can inspect everything from the browser before writing a line of client code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.