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6 changes: 3 additions & 3 deletions docs/databases/oracle.md
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# Oracle


### SQLite Connection
### Oracle Connection
```py
import connectorx as cx
conn = 'oracle://username:password@server:port/database' # connection token
query = 'SELECT * FROM table' # query string
cx.read_sql(conn, query) # read data from BigQuery
cx.read_sql(conn, query) # read data from Oracle
```

### Oracle-Pandas Type Mapping
Expand Down Expand Up @@ -37,4 +37,4 @@ cx.read_sql(conn, query) # read data from

<p align="center"><img alt="memory chart" src="https://raw.githubusercontent.com/sfu-db/connector-x/main/assets/oracle-mem.png"/></p>

In conclusion, ConnectorX uses **3x** less memory and **3x** less time compared with Pandas.
In conclusion, ConnectorX uses **3x** less memory and **3x** less time compared with Pandas.