Organizations are using modern data lakes like Databricks to power analytics, reporting, AI, and machine learning initiatives. But for many organizations, the data that drives those efforts still lives in Oracle databases.
The challenge is making that Oracle data available in Databricks quickly without creating complex integration projects or impacting production systems. Quest SharePlex helps bridge that gap by continuously moving Oracle data into cloud storage in a Parquet format that Databricks can easily consume, giving teams faster access to trusted data for analytics and AI.
The benefits of using SharePlex for Oracle-to-Databricks data movement
Organizations evaluating Oracle-to-Databricks data movement are typically trying to solve three challenges: getting access to fresher data, protecting production systems, and avoiding unnecessary complexity.
1. Get Oracle data into Databricks faster
Analytics is only as valuable as the data behind it.
Many organizations still rely on scheduled exports or batch processes to move Oracle data into analytics platforms. While these approaches may work, they often introduce delays that leave reporting, dashboards, and AI models operating on outdated information.
Quest SharePlex helps reduce that delay by continuously capturing Oracle changes and making them available for downstream analytics processes. Instead of waiting for the next batch cycle, teams gain faster access to the data they need to make decisions, identify trends, and respond to changing business conditions.
For organizations looking to build more data-driven operations, faster access to Oracle data can mean faster access to business insights.
2. Reduce impact on production systems
Business-critical Oracle databases exist to support applications, transactions, and day-to-day operations. Analytics initiatives should not interfere with those responsibilities.
One of the challenges with traditional extraction methods is that they can place additional load on production systems, especially as data volumes grow and reporting requirements expand.
SharePlex uses log-based change data capture (CDC) to capture changes directly from Oracle transaction logs rather than repeatedly querying production tables. This helps minimize impact on source systems while continuously making data available for analytics use cases.
The result is a more efficient approach that helps organizations support reporting, analytics, and AI initiatives without creating additional strain on the systems running the business.
3. Simplify data movement architecture
Data teams are already managing enough complexity.
Custom integrations, homegrown scripts, and multiple data movement tools can increase operational overhead and create long-term maintenance challenges. As environments grow, those challenges often become even more difficult to manage.
SharePlex takes a simpler approach. Rather than requiring extensive transformation of pipelines or complex integration architectures, it continuously moves Oracle data to cloud storage in a format Databricks can readily consume.
This allows organizations to support modern analytics initiatives while keeping their data movement architecture focused and manageable.
How SharePlex works with Databricks
SharePlex uses log-based CDC to capture Oracle changes in near real time and deliver them to cloud object storage as Parquet files.
The architecture is straightforward:
Oracle Database → SharePlex → Cloud Storage → Databricks
SharePlex supports major cloud storage platforms including AWS S3, Azure Blob Storage, and Google Cloud Storage.
Databricks can then ingest and analyze the data using its native capabilities.
This approach is intentionally simple. Rather than relying on a direct Databricks connector, SharePlex delivers Oracle data in an open format that Databricks already supports. This gives organizations a practical way to connect operational Oracle systems with modern analytics environments while avoiding unnecessary complexity.
Turn Oracle data into analytics-ready data faster
The goal is not simply moving data from one platform to another.
The goal is making Oracle data available for analytics, reporting, AI, and machine learning initiatives as quickly and efficiently as possible.
SharePlex helps organizations accomplish that by continuously capturing Oracle changes and delivering them in a format that fits naturally into modern data lake and lakehouse architectures. Instead of building and maintaining complex data movement workflows, teams can focus on generating value from the data itself.
For organizations that depend on Oracle and are investing in Databricks, SharePlex provides a simple and efficient path between operational data and business insight.
By reducing latency, minimizing impact on production systems, and simplifying data movement, SharePlex helps organizations get more value from both their Oracle environments and their Databricks investments.
