Evaluating Data Integration with Oracle Autonomous Data Warehouse

Evaluating Data Integration with Oracle Autonomous Data Warehouse

Client: Aquanomix
Industry: Technology/Water Management Services
Project: Oracle Autonomous Data Warehouse (ADW) Integration with MongoDB
Duration: 15 days

Overview

Our client, Aquanomix, required a solution to data warehousing solution that integrated well with their existing production databases (Primarily MongoDB). their existing MongoDB database with Oracle Autonomous Data Warehouse (ADW) to enhance their data analytics capabilities. A & H Solutions was engaged to conduct a Proof of Concept (POC) to evaluate the feasibility and performance of this integration.

Objectives

  • Evaluate the process of importing MongoDB tables into Oracle ADW.
  • Measure the performance and scalability of Oracle’s tools for data integration.
  • Identify and address any challenges encountered during the integration process.
  • Assess Oracle Cloud as a potential long-term partner for Aquanomix.

Process

1. Environment Setup

We began by configuring the Oracle Autonomous Data Warehouse and establishing a connection with the existing MongoDB environment. This initial setup was crucial to ensure a stable and secure data flow.

2. Table Selection and Data Migration

Three tables were selected from MongoDB for the integration based on their relevance. Due to the lack of a native MongoDB connector in Oracle's Data Integration Service, custom scripts were developed to handle the data migration. Oracle Data Loader was used for direct file import into the ADW, complementing our custom approach. Below diagrams represents the approach taken, vs the proposed long term approach and the ideal solution.

3. Collaboration with Oracle’s Internal Team

Given that Oracle’s platform is still evolving, particularly in areas like UI and client compatibility, we had to seek guidance from Oracle’s internal team. Their support was vital in addressing specific challenges and ensuring the integration was executed smoothly.

4. Documentation and Analysis

The entire process was thoroughly documented, focusing on the challenges encountered and the solutions implemented. This provided a clear record of the integration process and offered insights for future projects.

Results

  • Successful Data Migration: All selected MongoDB tables were successfully imported into Oracle ADW.
  • Identification of Platform Limitations: The project highlighted areas where Oracle’s platform is still developing, particularly the absence of a MongoDB connector and some UI challenges.

Conclusion

While the POC demonstrated that integrating MongoDB with Oracle ADW is feasible, the limitations encountered during the process—particularly the lack of a MongoDB connector and other UI issues — led to the decision not to proceed with Oracle as a long-term solution. The collaboration with Oracle’s internal team was helpful in navigating these challenges, but ultimately, the platform did not feel mature enough for a smooth developer experience.