
PostgreSQL
RELATIONAL DATABASEA familiar SQL workspace for exploring tables, writing queries and inspecting the results from your PostgreSQL connection.
- SQL query tabs and table browsing
- Row inspection and data transfer tools
- Server dashboard and database-user tools
- Daily newspaper and report dashboard
SELECT name, city
FROM customers
ORDER BY name;
Available actions depend on your database permissions and the selected source.

MySQL
RELATIONAL DATABASEMove from a saved connection to a query, table or server overview. Keep your everyday MySQL work in one place.
- SQL editing, saved queries and results
- Browse tables and inspect row details
- Server variables and database-user tools
- Daily newspaper and report dashboard
SELECT product, quantity
FROM orders
WHERE quantity > 1;
Administrative operations require the relevant permissions on your server.

SQLite
FILE-BASED DATABASEChoose a database file and start exploring. SQL Ocean builds the SQLite connection string from the file you select.
- Open .db, .sqlite and .sqlite3 files
- Browse tables and run SQL queries
- Inspect records and export rows
- Daily newspaper and report dashboard
Open SQLite file
your-project.sqlite
Tables · Queries · Results
SQLite works with a local database file rather than a remote server connection.

MongoDB
DOCUMENT DATABASEWork with collections and documents using MongoDB’s own shape of data. Connect with a MongoDB URI and explore JSON-based queries.
- MongoDB connection URI support
- Database selection in the URI or connection form
- Collection queries with filters and limits
- JSON document and result inspection
{ "collection": "customers",
"filter": {}, "limit": 100 }MongoDB uses a JSON query shape, rather than SQL. Relational reporting and administration features do not apply to this connection.

DynamoDB
AWS TABLE & ITEM BROWSERList tables and inspect items with paginated, read-only scans. Use the AWS credential chain, or configure access keys and an optional session token.
- Region selection and custom endpoint support
- Local endpoint configuration for DynamoDB Local
- Read-only scans requesting up to 50 items per page
- JSON retains DynamoDB type tags
{ "customer_id": { "S": "customer-1042" },
"orders": { "N": "12" } }A table and item browser, not a SQL editor. Scans consume AWS read capacity; permissions and AWS charges apply.

S3-compatible storage
OBJECT STORAGEA place for the files around your data. Browse buckets, follow folder-like prefixes, and work with stored objects from the same application.
- Bucket and object browsing
- Prefix navigation and breadcrumbs
- Upload, download and object preview
- Endpoint configuration for S3-compatible providers
media-library
/ exports
customers.csv
monthly-summary.json
/ documents
project-notes.pdfS3 is object storage, not a SQL database. Actions depend on your endpoint, credentials and storage permissions.