This Website Change Log database tracks every update made to your website—from content tweaks to bug fixes—across all pages. It connects three tables: Pages (your site structure), Changes (detailed log entries with dates and descriptions), and Users (team members making updates). Each change links to the specific page it affects and the person who made it, so you always know what changed, when, and by whom.
The database automatically rolls up metrics like "Last Updated" and "Total Changes" per page, giving you instant visibility into your site's edit history. You can filter changes by category (Content Update, Bug Fix, SEO Optimization, etc.), track deployment IDs, and maintain a complete audit trail without manual tracking.
Google Sheets forces you into flat, fragmented tracking where maintaining relationships between pages, changes, and authors becomes a mess of VLOOKUPs that break whenever someone moves a row. As your change history grows, filtering, navigating, and pulling insights becomes exponentially harder.
Softr Databases enforce proper structure with typed columns—dates stay dates, linked records connect automatically, and rollups calculate totals without fragile formulas. Instead of repeating page URLs and author names in every row, you connect records directly: one Pages table, one Users table, one Changes table—all linked natively. Related records and lookups make it effortless to see all changes for a specific page or all edits by a particular team member, while the one table = one object principle keeps your data app-ready.
This template gives you automatic rollups that count total changes per page and surface the last update date without manual formulas. Linked records connect each change entry to its page and author instantly, so filtering your changelog by person, page, or category takes seconds. Status fields on Pages let you track which URLs are live, archived, or 404ing, while categorized changes (Content Update, Bug Fix, New Feature) make reporting and accountability seamless.
Registry of unique website pages with URLs, status, and summaries
Authorised team members with specific roles and access to log site updates
Chronological log of website updates, deployment IDs, and author details
This database helps anyone managing website updates track edits clearly and maintain accountability:
Customize the database. Modify the Category select field to match your workflow—add "Security Patch" or "A/B Test" if relevant. Adjust the Page Status choices to include "Under Review" or "Staging" if you have multi-stage deployments. Because this is a native Softr Database, editing field values and adding columns takes seconds.
Import your existing data. Upload past change logs via CSV to backfill history, or connect via API to sync deployment data automatically from your CMS, GitHub commits, or project management tools. This brings all historical context into one structured place immediately.
Build an app on top. Turn this database into an internal changelog portal where team members can submit new changes through a form, view full edit histories filtered by page or author, and see real-time dashboards of recent updates. Using Softr's interface builder, you can create views with permissions so Editors can log changes while Viewers only see read-only histories. A well-structured changelog database like this makes building a functional audit tool straightforward—full-stack apps in Softr connect Database + Interface + Workflows seamlessly, so your change log becomes a living, queryable system instead of a static spreadsheet.
A website change log database tracks every update made to your website—content edits, design tweaks, bug fixes, deployments—organized by page, date, and author. It creates a structured audit trail that shows who changed what and when, eliminating confusion over version history and making accountability automatic.
A no-code database lets you set up a production-ready change log in minutes without writing code or hiring developers. You can start tracking immediately, customize fields as your workflow evolves, and maintain full control over how updates are logged—no technical skills required. It's faster and more flexible than custom development or static spreadsheets.
AI can streamline change logging through Softr's AI Database co-builder, which helps you build filters and formulas to surface recent updates or calculate metrics. Database AI agents can automatically categorize changes based on description text (Content Update vs. Bug Fix), summarize deployment notes, or extract deployment IDs from commit messages when new records are added. You configure agents to trigger only when specific fields update, keeping your log enriched without manual tagging.
Yes, using Softr's interface builder, you can create a changelog portal connected directly to this database. Developers can submit changes via forms, marketing teams can filter updates by page or date, and executives can view dashboards showing recent activity. With permissions, you control who can log changes versus who sees read-only histories, ensuring the right people access the right data securely.
Yes, this template is free to get started. Databases are included in Softr's free plan, with higher-tier plans offering increased database limits as your changelog grows. All plans include unlimited collaborators, so your entire team can track and review changes together.
Google Sheets struggles with relational data—linking changes to pages and authors requires fragile VLOOKUPs that break as your log grows. A database uses native linked records, so connecting a change to its page and author happens automatically without formulas. Rollups and lookups calculate totals (like "Total Changes per Page") without manual updates, and enforced column types prevent mixing dates with text or breaking filters as your team scales.