Sample Query
SELECT customer_id,
SUM(total) AS lifetime_value
FROM orders
WHERE order_date >= DATE('now','-1 year')
GROUP BY customer_id
ORDER BY lifetime_value DESC
LIMIT 100;Drop SQLite file here or click to browse
{{ dbName }} ({{ itemSummary }})
{{ schema }}
| {{ h }} |
|---|
SQLite Manager enables you to open, browse, and edit standalone SQLite databases without installing desktop software. Simply introduce a .db or .sqlite file and the interface reveals every table, view, index, and trigger in a tidy, searchable catalogue. Professionals gain immediate insight into data structures, while hobbyists enjoy an approachable pathway to query construction and result exploration.
Behind the streamlined façade lies a robust execution engine that parses schemas, formats SQL, and returns result sets in milliseconds. Inline editing, batch commits, and contextual validation protect data integrity during interactive sessions. Export options allow friction-free extraction of query outputs to CSV, facilitating downstream analytics or archival workflows in any environment.
Designed for privacy-sensitive, air-gapped, or on-the-go scenarios, SQLite Manager runs entirely client-side, ensuring uploaded databases never leave your device. Its responsive Bootstrap 5 layout, accessible controls, and keyboard-centric shortcuts maximise productivity across laptops, tablets, and high-resolution desktops alike—ideal for rapid troubleshooting, educational demonstrations, or full-scale dataset inspections.
The following digest summarises core capabilities and operational parameters.
rowid look-ups and batch commit/rollback.| Object Type | Icon | Typical Prefix | Editable |
|---|---|---|---|
| Table | tbl_, data_, core_ | ✓ | |
| View | vw_, rpt_ | ✗ | |
| Index | idx_, ix_ | — | |
| Trigger | trg_, audit_ | — |
SELECT customer_id,
SUM(total) AS lifetime_value
FROM orders
WHERE order_date >= DATE('now','-1 year')
GROUP BY customer_id
ORDER BY lifetime_value DESC
LIMIT 100;Follow these precise steps to inspect and modify a database efficiently.
.db/.sqlite file onto the Drop Zone.SELECT * query.WHERE clauses, then click Run.Commonly asked questions and concise answers follow.
No. All processing occurs locally in your browser; the file never leaves your machine.
Export the remote file first, then open it here. Direct network connections are not supported.
Performance remains smooth with files up to several hundred megabytes, depending on device memory.
Yes. The underlying engine respects existing constraints; invalid updates trigger descriptive errors.
Histories persist in browser localStorage and can be cleared through the interface at any time.
If difficulties arise, consult the resolutions below before seeking further assistance.
Leverage the following practices to maximise efficiency.
EXPLAIN QUERY PLAN to analyse performance..mode csv style exports with spreadsheet pivot tables for rapid reporting.Key terms used throughout the interface are defined below.