Datagrok lets you easily ingest virtually any kind of data from almost anywhere. It supports dozens of file types and can connect to 30+ popular databases and other services, including cloud data providers.
To import a local file, drag-and-drop it into the browser. The important thing to understand is that the data will stay in the browser. It won't get sent to the server, unless you explicitly do that by uploading a project.
| Extension | Description |
|---|---|
| csv, tsv, txt | Comma-separated file |
| xml | XML |
| json | JSON |
| html | HTML |
| xlsx | Excel file |
| edf | European Data Format |
| sas7bdat | SAS |
| kml, kmz | Geographic annotations |
| rds, rda | R Data Format |
| h5 | Hierarchical Data Format |
| nc | NetCDF |
| mat | MATLAB MAT |
| d42 | Datagrok project |
| zip | ZIP |
| gz, gzip | gzip |
| tar | tar |
| ipynb | Jupyter Notebook |
| Data Source |
|---|
| Access |
| Amazon S3 |
| Amazon Athena |
| Amazon Redshift |
| Google BigQuery |
| Google Cloud |
| Cassandra |
| DB2 |
| Dropbox |
| File Network Shares |
| Firebird |
| HBase |
| Hive |
| MS SQL |
| MariaDB |
| MongoDB |
| MySQL |
| ODATA |
| Oracle |
| PostgreSQL |
| SQLite |
| Socrata |
| Sparql |
| Teradata |
| Vertica |
See also: