Oracle is a Cloud Infrastructure platform that facilitates an improved computing performance for your system along with prompt and easy on-premise migrations. Oracle Autonomous Data Warehouse or Oracle ADW is a database and management tool that helps store large amounts of data and effectively manage it. There are multiple benefits of such a fully Autonomous Database that improves querying and requires no administration at the ground level.
In this article, you will explore a brief understanding of Oracle Cloud and Oracle Autonomous Data Warehouse. Alongside the key features of Oracle Autonomous Data Warehouse, you will also read about different ways in which you can deploy Oracle ADW and the steps to do the same. A discussion about the pricing model and commonly faced challenges will conclude this blog.
Table of Contents
- Introduction to Oracle Cloud
- Introduction to Oracle ADW
- Key Features of Oracle ADW
- Understanding the Oracle ADW Deployment Methods
- Understanding the Oracle ADW Service on Oracle Cloud Setup
- Oracle ADW Pricing Model
- Challenges of Working With Oracle ADW
Introduction to Oracle Cloud
Oracle Cloud is a Cloud services provider that offers a complete range of features for enterprise-level computing requirements. This functions as an IaaS (Infrastructure as a Service) that can be utilized through a virtual machine setup. This facilitates the use of robust Cloud features and computing power that can be accessed without investing in the entire physical infrastructure. Users can opt for the Oracle Cloud Free Tier account or the Oracle Cloud paid accounts to access more advanced features.
Introduction to Oracle ADW
Within the range of Oracle’s Cloud-based services is Oracle’s Autonomous Data Warehouse. It is a Cloud Data Warehouse that completely managed all Data Warehouse operations and their complexity. Wide automation of features such as data securing, configuration, provisioning, development, scaling, and backups are provided with Oracle Autonomous Data Warehouse.
The process of Data Management and Processing with Oracle Autonomous Data Warehouse can be illustrated as follows:
Key Features of Oracle ADW
The Oracle Autonomous Data Warehouse offers several features that are easy to use and remain compatible with various existing tools and applications. These include the following:
- The end-to-end management system of Oracle ADW is fully managed and fully tuned to load large amounts of data and run complex queries without any human moderation required.
- It is a highly elastic service and can be auto-scaled or manually scaled depending upon how your data requirements grow.
- The Oracle Autonomous Data Warehouse provides automated index management and real-time statistic updates collectively.
- It can be configured in advance to incorporate different user types and provide optimized querying features for multiple workloads.
- It is enriched with built-in tools such as Oracle Application Express (APEX), Oracle REST Data Services (ORDS), and Oracle Database Actions.
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Understanding the Oracle ADW Deployment Methods
Your created Oracle ADW can be deployed in two distinct ways. The two deployment options are facilitated with two Exadata infrastructures, namely:
In a Serverless Infrastructure, the placement of the Exadata isn’t fixed. You can select the time of database you want to use as well as the region of deployment that is preferred for your case. The Serverless Autonomous Infrastructure provides a simple and elastic interface for easy storage and deployment of data.
A Dedicated Autonomous Database, on the other hand, provides you with your own Exadata Infrastructure that can be obtained in line with the size, region, and other particulars required. This is a customizable and private Cloud option that can be updated easily through active patching.
Understanding the Oracle ADW Service on Oracle Cloud Setup
To incorporate ADW features, you need to follow through with a setup process to configure the connection of your Oracle Autonomous Data Warehouse with Oracle Cloud. Follow these steps to carry out the setup process:
- Step 1: Log into your Oracle Cloud account and head to the OCI Console.
- Step 2: Click on “Autonomous Data Warehouse” in the left menu and select “Create Autonomous Data Warehouse”.
- Step 3: Proceed to select the particular “Compartment” in which you want to create your database.
- Step 4: Type the Display Name and Database Name along with choosing a workload type.
- Step 5: Choose your preferred mode of deployment – Shared Infrasture or Dedicated Infrastructure.
- Step 6: Create your Administrator credentials.
- Step 7: Select Network Access and then choose a license type.
- Step 8: Now, click on “Create Autonomous Data Warehouse”.
- Step 9: With this, your database status will shift to a green “Available”, from a prior yellow “Provisioning” status. Within 10 to 20 minutes, your ADW database will be up and ready to run.
- Step 10: Now, to connect your Autonomous Database to the Oracle Cloud, SQL Developer Web can be used from the Tools menu.
- Step 11: Click on SQL Developer Web and sign in using your username and password.
- Step 12: Run any query to check the connection after logging in.
- Step 13: Confirm the database name and proceed to create a table to check the connection.
Thus, you can now run queries successfully in tandem with Oracle SQL Developer with feature integrations from your Autonomous Database.
Oracle ADW Pricing Model
The pricing and cost estimation of Oracle Autonomous Data Warehouse depends on the type of infrastructure you go for. You can choose either a Shared, Dedicated, or “Bring Your Own License” infrastructure. The pricing of these options vary as shown below:
|Shared Infrastructure Product||Unit Price||Metric|
|Oracle Autonomous Data Warehouse||$1.3441||OCPU Per Hour|
|Oracle Autonomous Database – Exadata Storage||$118.40||Terabytes Storage Capacity Per Month|
|Dedicated Infrastructure Product||Unit Price||Metric|
|Oracle Autonomous Data Warehouse – Dedicated||$1.3441||OCPU Per Hour|
|Oracle Cloud Infrastructure – Database Exadata Infrastructure – Quarter Rack – X8||$14.5162||Hosted Environment Per Hour|
|Oracle Cloud Infrastructure – Database Exadata Infrastructure – Half Rack – X8||$29.0323||Hosted Environment Per Hour|
|Oracle Cloud Infrastructure – Database Exadata Infrastructure – Full Rack – X8||$58.0645||Hosted Environment Per Hour|
|Oracle Cloud Infrastructure – Oracle Database Exadata Infrastructure – Quarter Rack – X7||$21.5054||Hosted Environment Per Hour|
|Oracle Cloud Infrastructure – Database Exadata Infrastructure – Half Rack – X7||$43.0107||Hosted Environment Per Hour|
|Oracle Cloud Infrastructure – Database Exadata Infrastructure – Full Rack – X7||$86.0215||Hosted Environment Per Hour|
|BYOL Product||Unit Price||Metric|
|Oracle Autonomous Data Warehouse||$0.3226||OCPU Per Hour|
|Oracle Autonomous Data Warehouse – Dedicated||$0.3226||OCPU Per Hour|
Challenges of Working With Oracle ADW
While an Autonomous Database system has several benefits to offer, some challenges are commonly faced while working with Oracle ADW. One of the main concerns is the lack of a Private IP along with no access to the operating system of the database. Since a physical host cannot be accessed, certain features are not supported with Oracle ADW.
Additionally, importing from Oracle ADW is still not a smooth process. If you’re using another database or planning to use multiple databases in tandem with Oracle ADW, it can be quite a hassle, External connections with the database links are also not available. These challenges can be bridged to some extent with the help of an automated platform such as Hevo Data.
Thus, Oracle Autonomous Data Warehouse offers a robust range of features that can be used to create and link a database to tackle complex querying issues.
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