BryteFlow replicates data for Oracle FASTER than Oracle Goldengate.*

*Based on actual experience during a client project.


BryteFlow for Oracle

BryteFlow for Oracle: Availability guaranteed and lightning fast replication – it’s faster than Oracle GoldenGate!

If you need availability and high throughput, BryteFlow for Oracle Data Replication with Change Data Capture (CDC) could be your new best friend. It replicates data in completely automated mode from start to finish -no coding needed. It’s availability is legendary- you never need to check the data replication even with server failure or a connection outage, BryteFlow will automatically configure itself, re-connect and continue where it left off.

Solution Highlights:
  • Zero impact on your Oracle source
  • Zero coding – for extraction, merging, masking or type 2 history
  • Analytics ready data assets on S3,  Redshift and Snowflake
  • Data Preparation for Machine Learning on Amazon S3
  • Availability and high throughput
  • BryteFlow supports data replication from all versions of Oracle including Oracle 19c

Key Features

  • S3 file merges
  • Enterprise-level security
  • High Throughput
  • Time series your data
  • Supports Oracle from version 10
  • Self-recovery from connection dropouts
  • Smart catch-up features in case of down-time
  • Parallel log mining for Oracle
  • Transaction Log Replication
  • Change Data Capture

Unlock your Oracle Data with a BryteFlow enabled Amazon S3 Data Lake.

With BryteFlow, you can extract data from a full range of Oracle Modules with just a few clicks. The software provides a range of data conversions out of the box including Typecasting and GUID data type conversion to ensure that your Oracle data is ready for analytical consumption. Further, BryteFlow enables configuration of custom business logic to consolidate Oracle data from multiple applications or modules into AI and Machine Learning ready inputs.

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Zero impact on Oracle source

BryteFlow eliminates the need for complex application procedures or queries to extract Oracle data. It extracts data from the Oracle application’s database level logs and does not require any additional agents or software to be installed in your Oracle environment.

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Remodels data to make it consumable

BryteFlow for Oracle can replicate complex data and data modules by remodeling the data into analytical data formats. You can even use the data outside of a Oracle environment.

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Near real-time replication of data

With frequent incremental extractions, compression and parallel streams, BryteFlow ensures your data is constantly kept up-to-date and available to enable real-time analytics.


SQL workbench to blend data sources

An easy to use drag-and-drop workbench delivers a codeless development environment to build complex SQL jobs and dependencies across Oracle and non-Oracle data.

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Dashboard for monitoring

BryteFlow for Oracle displays various dashboards and statistics so you can stay informed on the extraction process as well as reconciling differences between source and target data.

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Automatic catch-up from network dropout

Pick up where you left off – automatically. In the event of a system outage or lost connectivity, BryteFlow for Oracle features an automated catch-up mode so you don’t have to check or start afresh.

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Masking & Tokenization

BryteFlow for Oracle provides enterprise grade security to mask, tokenize or exclude sensitive data from the data extraction processes.

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Time-scale history

BryteFlow for Oracle provides out-of-the-box options to maintain the full history of every transaction from Oracle with options for automated data archiving. You can go back and retrieve data from any point on the timeline.

Mike Hight,
Enterprise Data Architect,

Using BryteFlow to handle CDC freed up our development resources to focus on analytics.

“As we were evaluating a major overhaul to our legacy reporting and analytics platform, we recognized that there were aspects to our process that were not really part of our core value proposition. Using BryteFlow to handle CDC freed up our development resources to focus on analytics.

Cost was an obvious concern. We are a non-profit focused on delivering educational software to as many children as possible. The ROI of using BryteFlow, contrasted with ongoing maintenance of our internal system provided significant financial support for our decision. We also evaluated other options in the marketplace but found BryteFlow to be the most cost-effective and easiest to work with during our evaluation process. In this space we found that many vendors tried very hard to justify a more expensive product by adding unnecessary bells and whistles. We went with Bryte because their product focused on their core competency and reliability.”

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The need to use student data in a more relevant way.

Waterford Research Institute needed to replace legacy reporting and dashboards with visualizations that were more consumable by education administrators, school principals, teachers and parents. They collected a lot of information about a student’s learning methods and progress and wanted to use this in a relevant way.

BryteFlow freed up the company’s development resources.

BryteFlow with automated CDC freed up the company’s development resources to focus on analytics and data was available in near real-time with no coding involved. Being a non-profit, they appreciated the cost-effective solution from BryteFlow to address their data management issues.


What is Oracle Change Data Capture (CDC)?

Oracle Change Data Capture is a technology for detecting all the changes to tables in an Oracle database. It captures all the inserts, updates and deletes on the tables in the Oracle database and accordingly updates the data in the destination database so data in the destination aligns with the Oracle data at source.

Why is CDC recommended for Oracle database replication to the destination?

Unlike ELT (Extract Load Transform) or ETL (Extract Transform Load), with CDC (Change Data Capture) you don’t need a time-consuming full refresh to update data. With CDC, only data that has changed is captured and ingested on the destination, saving much time and effort.

What are the challenges when doing Oracle CDC to Amazon S3, Redshift or Snowflake?

The challenges when doing CDC to Amazon S3, Redshift and Snowflake include, taking all the deltas or changes for the various tables and putting them together, so that the data is correct and readable on the destination. There can be multiple changes for a record, for example, an insert and an update or an update or a delete. They need to be processed intelligently to make sure the last record is captured correctly. Further, the processes need to be high performance as this could lead to bottlenecks.

How does BryteFlow overcome these challenges?

BryteFlow Ingest uses log based CDC and processes the changes automatically on the destination, whether it is Amazon S3, Redshift or Snowflake. It also maintains SCD type2 history on the destination automatically. It requires no coding and has high performance and resilience built in. It is a point and click, end-to-end solution that a business user can handle.