VisuaLeaf is one visual workspace for Amazon Aurora MySQL: keep the writer and reader endpoints as separate saved connections, browse databases and tables, edit rows inline, auto-draw ER diagrams from your InnoDB foreign keys, and chart the results — on a cluster whose writer can move without warning.
Aurora MySQL separates compute from a shared storage layer and gives you a writer, a set of readers and endpoints that move during a failover. VisuaLeaf gives you a workspace over that: keep each endpoint saved, browse the same schema from either, and see relationships and results as pictures.
One hostname is the path of least resistance, so the replicas you are paying for sit idle while the writer absorbs every dashboard refresh.
A failover promotes a replica and the cluster endpoint follows it, so an editor left open overnight is not necessarily pointed where it was.
Real foreign keys are recorded and never rendered, so the schema you are changing is one you have to hold in your head.
The tables worth looking at return more rows than a text client can show, and paging through them by LIMIT is not exploration.
Save both endpoints, browse databases and rows, map foreign keys into a diagram, and chart results — all in one workspace.
Writer and reader endpoints, familiar MySQL SQL, InnoDB foreign keys, and results, explored, queried, and visualized instead of parsed from text.
Manage tables visually instead of hand-writing DDL. Add, rename, and edit columns with their types, defaults, primary keys, and foreign keys, then work across tabbed panels for indexes, constraints, and storage. Hit Show DDL to read the full CREATE TABLE statement any time.
Page through a large table without waiting for a full result set, filter and sort from the grid, and edit values in place with the generated UPDATE shown before it runs. JSON columns expand as a nested tree rather than printing as one long line.
Save the reader endpoint as its own connection and give analytics somewhere to go that is not the writer. Keeping both saved side by side also makes replica lag observable: run the same query on each and compare what comes back.
VisuaLeaf connects the steps Aurora MySQL users usually handle separately: reach either endpoint, explore databases, build SQL, and visualize the results.
Reach the writer or the reader endpoint on port 3306 over SSL, or tunnel through a bastion host into the VPC.
Browse databases, tables and views, page through rows, and expand JSON columns in a tree.
Assemble JOINs, filters and grouping visually into MySQL SQL, or drop into the editor with autocomplete.
Whether you build on a cluster, route reads to replicas, analyse data, or learn SQL, VisuaLeaf gives you a clearer way to work with Amazon Aurora MySQL.
Model tables and indexes, and debug the SQL your app runs against real rows in a managed cluster.
Compare schemas across clusters, review users and grants, and keep reporting traffic off the writer.
Point analytics at a reader endpoint, write JOINs and aggregations, and chart the results without a separate BI pipeline.
Learn MySQL visually on a managed cluster, see foreign keys as ER diagrams, and read the SQL the builder writes.
VisuaLeaf started as a MongoDB workspace and grew into a multi-database visual environment. One app, one workflow, across the databases your team actually uses.
And VisuaLeaf does not leave you staring at a wall of SQL and grids. It visualizes everything — Aurora MySQL schemas become interactive diagrams, queries become visual builders, and results become charts and dashboards.
VisuaLeaf is made by an independent software studio that ships often and listens to the developers who use it every day.
Download VisuaLeaf Community Edition and save both cluster endpoints, browse and edit rows, draw ER diagrams from your foreign keys, and chart your results in one visual workspace.
Download Free Community Edition