Skip to content
Back to the index

Schemity

schemity.comDatabases (SQL, NoSQL, vector, graph)

No liveness check has reached it yet; it is registered on GitHub and has been in the index since 9 Oct 2026. How this is checked

Schemity is desktop database design software that connects to live databases, visualizes schemas as entity-relationship diagrams, and shows the impact of proposed changes. It supports PostgreSQL, Supabase, MySQL, MariaDB, SQL Server, and SQLite, with an MCP server for AI coding agents.

Inferred · not functionally tested

PaidWebmacOSWindowsLinux
Schemity preview
Visit schemity.com
6stars
10features
2026since

Overview

6 features

Purpose: Understanding database structure and migration impact before changes affect production data.

Inferred · not functionally tested

Audience: software engineers and database developers

Inferred · not functionally tested

Functions: analytics, collaboration

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: unknown · Self-hosting: unknown

Recorded constraints: pricing: paid · license: Proprietary · platforms: DESKTOP, WEB · deployment: browser, macos, windows, linux

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: schemity.com · github.com. These links do not verify the individual claims.

Schemity is a Databases (SQL, NoSQL, vector, graph) project. Inferred · not functionally tested: It focuses on understanding database structure and migration impact before changes affect production data. Inferred · not functionally tested: It is built as a B2B product for software engineers and database developers. Basis unknown · not verified: Schemity is paid, starting at $129. Basis unknown · not verified: Schemity is available on the web, macOS, Windows, and Linux.

Schemity builds and maintains Schemity, and it first shipped in 2026. The project is developed in the open on GitHub with 14 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are live database connection, schema visualization, and entity-relationship diagrams. The interface is available in English, Japanese, and Chinese. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Live database connection
  • Schema visualization
  • Entity-relationship diagrams
  • Migration impact analysis
  • Domain mapping
  • Foreign key inference

Topics: Inferred · not functionally tested

Tags
database-designschema-visualizationmigration-impacterd-diagramsmcp-server
AI capabilities
Structured
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
Astro
Hosting
Cloudflare
Connectors
MCP
Runs on
BrowsermacOSWindowsLinux
Detected from
Astro
/_astro/ in the HTML
Cloudflare
cf-ray header · cf-cache-status header

Trust & compliance

Public signals
HTTPSPrivacy PolicyTerms of ServiceGitHub · ★ 6Active maintenanceMulti-language
Legal
Privacy Policy Terms of Service

Indexing history

10

What PulseGate has recorded for this listing

  1. Indexed5 Oct · 04:40 UTC
    PostgreSQL serial vs identity: Which to Use, and How to Convert Old serial Columns seen via DEV.to articles
    Source: DEV.to articles · Open
  2. Indexed1 Oct · 01:55 UTC
    ON DELETE SET NULL vs CASCADE vs RESTRICT in PostgreSQL: Which to Use seen via DEV.to articles
    Source: DEV.to articles · Open
  3. Indexed1 Oct · 01:55 UTC
    Changing a Column Type in SQLite: The Table Rebuild and What It Deletes seen via DEV.to articles
    Source: DEV.to articles · Open
  4. Indexed1 Oct · 01:55 UTC
    A PostgreSQL Role That Reads the Schema but Not the Data: What to Grant seen via DEV.to articles
    Source: DEV.to articles · Open
  5. Indexed1 Oct · 01:55 UTC
    Adding a NOT NULL Column to a Large PostgreSQL Table: Constant Default, Backfill or NOT VALID seen via DEV.to articles
    Source: DEV.to articles · Open
  6. Indexed1 Oct · 01:55 UTC
    Database MCP Server: Should an AI Agent Run SQL or Only Read the Schema? seen via DEV.to articles
    Source: DEV.to articles · Open
  7. Indexed28 Sep · 03:28 UTC
    PostgreSQL numeric vs double precision vs money: Which Type to Use for Prices seen via DEV.to articles
    Source: DEV.to articles · Open
  8. Indexed27 Sep · 07:31 UTC
    PostgreSQL Generated Column vs Trigger: Which to Use for a Derived Column seen via DEV.to articles
    Source: DEV.to articles · Open
  9. Indexed26 Sep · 13:44 UTC
    PostgreSQL Unique Constraint vs Unique Index: Which to Use, and How to Add One Without Locking the Table seen via DEV.to articles
    Source: DEV.to articles · Open
  10. Indexed25 Sep · 03:43 UTC
    Polymorphic Associations in PostgreSQL: One commentable_id Column or a Foreign Key per Table? seen via DEV.to articles
    Source: DEV.to articles · Open

Frequently asked questions about Schemity

What does Schemity do?
Inferred · not functionally tested: Schemity focuses on understanding database structure and migration impact before changes affect production data. It is catalogued under Databases (SQL, NoSQL, vector, graph) on PulseGate.
Who should use Schemity?
Inferred · not functionally tested: Schemity is a B2B product built for software engineers and database developers.
How much does Schemity cost?
Basis unknown · not verified: Paid plans start at $129.
What platforms does Schemity run on?
Basis unknown · not verified: Schemity runs on the web, macOS, Windows, and Linux.
Is Schemity still maintained?
The GitHub repository shows 14 commits in the last 90 days.
What are alternatives to Schemity?
Similar projects tracked by PulseGate include APoint-ms-sql, Automated Processes, and Mongoster.APoint-ms-sqlAutomated ProcessesMongoster
Who makes Schemity?
Schemity is developed by Schemity.
When did Schemity launch?
Schemity first shipped in 2026.

Also in Databases (SQL, NoSQL, vector, graph)

Same category — not a similarity match