TL;DR

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:

1. set up Postgres as a source connector (using Auth, or usually an API key)
2. set up Oracle as a destination connector
3. define which data you want to transfer and how frequently

You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.

This tutorial’s purpose is to show you how.

What is Postgres

An object-relational database management system, PostgreSQL is able to handle a wide range of workloads, supports multiple standards, and is cross-platform, running on numerous operating systems including Microsoft Windows, Solaris, Linux, and FreeBSD. It is highly extensible, and supports more than 12 procedural languages, Spatial data support, Gin and GIST Indexes, and more. Many webs, mobile, and analytics applications use PostgreSQL as the primary data warehouse or data store.

What is Oracle

An integrated cloud application and platform service, Oracle offers an array of enterprise information technology solutions. Other company offerings include software-as-a-service (SaaS), platform-as-a-service (PaaS, and infrastructure-as-a-service (IaaS). The Oracle Cloud Infrastructure provides companies the convenience of the public cloud combined with the security and control of on-premises infrastructure. Oracle Cloud Applications help companies streamline their business processes, increase productivity and reduce costs with software applications such as Project Portfolio Management, ERP Financials, Procurement, and more.

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Prerequisites

1. A Postgres account to transfer your customer data automatically from.
2. A Oracle account.
3. An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.

Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including Postgres and Oracle, for seamless data migration.

When using Airbyte to move data from Postgres to Oracle, it extracts data from Postgres using the source connector, converts it into a format Oracle can ingest using the provided schema, and then loads it into Oracle via the destination connector. This allows businesses to leverage their Postgres data for advanced analytics and insights within Oracle, simplifying the ETL process and saving significant time and resources.

Methods to Move Data From Postgres to oracle db

• Method 1: Connecting Postgres to oracle db using Airbyte.
• Method 2: Connecting Postgres to oracle db manually.

Method 1: Connecting Postgres to oracle db using Airbyte

Step 1: Set up Postgres as a source connector

1. Open your PostgreSQL database and create a new user with the necessary permissions to access the data you want to replicate.

2. Obtain the hostname or IP address of your PostgreSQL server and the port number it is listening on.

3. Create a new database in PostgreSQL that will be used to store the replicated data.

4. Obtain the name of the database you just created.

5. In Airbyte, navigate to the PostgreSQL source connector and click on "Create Connection".

6. Enter a name for your connection and fill in the required fields, including the hostname or IP address, port number, database name, username, and password.

7. Test the connection to ensure that Airbyte can successfully connect to your PostgreSQL database.

8. Select the tables or views you want to replicate and configure any necessary settings, such as the replication frequency and the replication method.

9. Save your configuration and start the replication process.

10. Monitor the replication process to ensure that it is running smoothly and troubleshoot any issues that arise.

Step 2: Set up Oracle as a destination connector

1. First, ensure that you have the necessary credentials to access your Oracle DB. This includes the hostname, port number, database name, username, and password.
2. Open the Airbyte platform and navigate to the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the "Oracle DB" destination connector and click on it.
4. Click on the "Create new connection" button to begin setting up your Oracle DB destination.
5. Enter a name for your connection and fill in the required fields with your Oracle DB credentials.
6. Test the connection to ensure that Airbyte can successfully connect to your Oracle DB.
7. Once the connection is successful, you can configure the settings for your Oracle DB destination. This includes selecting the tables you want to sync, setting up any transformations or mappings, and scheduling the sync frequency.
8. Save your settings and start the sync process. Airbyte will begin pulling data from your source and pushing it to your Oracle DB destination.
9. Monitor the sync process to ensure that it is running smoothly and troubleshoot any issues that may arise.
10. Once the sync is complete, you can access your data in your Oracle DB and use it for analysis, reporting, or any other purposes.

Step 3: Set up a connection to sync your Postgres data to Oracle

Once you've successfully connected Postgres as a data source and Oracle as a destination in Airbyte, you can set up a data pipeline between them with the following steps:

1. Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
2. Choose your source: Select Postgres from the dropdown list of your configured sources.
3. Select your destination: Choose Oracle from the dropdown list of your configured destinations.
4. Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
5. Select the data to sync: Choose the specific Postgres objects you want to import data from towards Oracle. You can sync all data or select specific tables and fields.
6. Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
7. Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
8. Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from Postgres to Oracle according to your settings.

Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your Oracle data warehouse is always up-to-date with your Postgres data.

Method 2: Connecting Postgres to oracle db manually

Moving data from PostgreSQL to Oracle database without using third-party connectors or integrations involves several steps including data extraction, data transformation (if necessary), and data loading. Here's a step-by-step guide to accomplish this:

Step 1: Export Data from PostgreSQL

1. Identify the Data to be Migrated: Determine which tables and data need to be moved from PostgreSQL to Oracle.

2. Prepare the Environment: Make sure you have access to both the PostgreSQL and Oracle databases and have the necessary permissions to perform data export and import.

3. Use `pg_dump` to Export Data:

   - Open a command-line interface on the system where PostgreSQL is installed.

   - Use the `pg_dump` utility to export the data. You can export data in SQL format or as a CSV file. For example, to export a single table:

     ```bash

     pg_dump -U postgres_username -h postgres_host -d postgres_database --table='table_name' --no-acl --no-owner -F c > table_name.dump

     ```

     Replace `postgres_username`, `postgres_host`, `postgres_database`, and `table_name` with your actual PostgreSQL username, host, database, and table name.

4. Compress the Data (optional): If the data is large, you might want to compress it to speed up the transfer to the Oracle server.

Step 2: Prepare Oracle Database

1. Create the Target Schema: Log in to your Oracle database and create the schema that will hold the imported data.

2. Define Table Structures: Create the tables in Oracle with the same structure as the PostgreSQL tables. Make sure to adjust data types and default values to match Oracle's requirements.

3. Prepare the Environment for Import: Ensure the Oracle user has the necessary permissions to import data into the created tables.

Step 3: Convert Data Types (If Necessary)

1. Analyze Data Types: Compare the PostgreSQL data types with the Oracle data types and note any incompatibilities.

2. Write Conversion Scripts: If necessary, write SQL scripts or use a programming language of your choice to convert incompatible data types and formats.

Step 4: Transfer Data to Oracle Server

1. Securely Transfer the Dump File: Use a secure method (like SCP or SFTP) to transfer the exported dump file from the PostgreSQL server to the Oracle server.

2. Decompress the Data: If you compressed the data, decompress it on the Oracle server.

Step 5: Import Data into Oracle

1. Use SQL*Loader or External Tables:

   - For CSV files, you can use Oracle's SQL*Loader utility to import the data.

   - Alternatively, you can create an external table in Oracle that points to the CSV file and then use `INSERT INTO ... SELECT * FROM ...` to transfer the data into the actual Oracle table.

2. For SQL Format:

   - If you exported data in SQL format, you might need to edit the SQL file to ensure compatibility with Oracle syntax.

   - Use Oracle's SQL*Plus or another client to execute the SQL file and import the data.

Step 6: Verify Data Integrity

1. Check the Data Count: Compare the record count between PostgreSQL and Oracle tables to ensure all data has been transferred.

2. Perform Data Quality Checks: Run queries to verify that the data has been imported correctly and that there are no corruptions or data loss.

3. Check for Errors: Review the logs generated by the import process for any errors or warnings that need to be addressed.

Step 7: Finalize the Migration

1. Create Indexes and Constraints: Once the data is in Oracle, create any indexes, primary keys, foreign keys, and other constraints that are needed.

2. Optimize Performance: Analyze the imported data and run Oracle's performance tuning tools to optimize query performance.

3. Backup the Oracle Database: After verifying that the migration is successful, take a backup of the Oracle database.

Step 8: Clean Up

1. Remove Temporary Files: Delete any temporary files or export files that are no longer needed.

2. Document the Process: Document the steps taken, any issues encountered, and how they were resolved for future reference.

Additional Notes:

- This process assumes a basic migration without complex transformations or data cleansing. If there are more complex requirements, additional steps will be needed.

- Always test the migration process in a development or staging environment before performing it in production.

- Make sure to schedule the migration during a maintenance window or when the impact on users will be minimal.

By following these steps, you should be able to move data from PostgreSQL to Oracle without using third-party connectors or integrations. However, keep in mind that this manual process can be error-prone and time-consuming, especially for large datasets or complex schemas.

Use Cases to transfer your Postgres data to Oracle

Integrating data from Postgres to Oracle provides several benefits. Here are a few use cases:

1. Advanced Analytics: Oracle’s powerful data processing capabilities enable you to perform complex queries and data analysis on your Postgres data, extracting insights that wouldn't be possible within Postgres alone.
2. Data Consolidation: If you're using multiple other sources along with Postgres, syncing to Oracle allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
3. Historical Data Analysis: Postgres has limits on historical data. Syncing data to Oracle allows for long-term data retention and analysis of historical trends over time.
4. Data Security and Compliance: Oracle provides robust data security features. Syncing Postgres data to Oracle ensures your data is secured and allows for advanced data governance and compliance management.
5. Scalability: Oracle can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding Postgres data.
6. Data Science and Machine Learning: By having Postgres data in Oracle, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
7. Reporting and Visualization: While Postgres provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to Oracle, providing more advanced business intelligence options. If you have a Postgres table that needs to be converted to a Oracle table, Airbyte can do that automatically.

Wrapping Up

To summarize, this tutorial has shown you how to:

1. Configure a Postgres account as an Airbyte data source connector.
2. Configure Oracle as a data destination connector.
3. Create an Airbyte data pipeline that will automatically be moving data directly from Postgres to Oracle after you set a schedule

With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.

We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!