As the world becomes more data-centric and businesses more data-driven, the need for faster, more efficient and cost-effective database management solutions is more crucial.
Making sense of massive data which is growing continually and expanding in its complexity, scale and application is mission critical for businesses and organizations across the globe.
Be it a ticketing or booking system, a warehouse or online store or a movie streaming app or content library – data is the fuel which powers the engine of modern business solutions.
This is why storing, updating and managing data in real-time and retrieving it for analytics and business insights is an integral part of growth for organizations of varying scale.
To solve for this, businesses rely on technology and solutions like Oracle for database management and data warehousing which helps them make better business decisions.
Change data capture is a feature in Oracle which helps in capturing, replicating and publishing changes in real-time to make updated data available for consumption across applications and processes.
Due to its incremental nature for data transfer, CDC requires minimum compute resources, leading to lighter workloads and bandwidth consumption and better system performance.
With its capabilities, Oracle CDC has proven to be an indispensable tool for businesses who do not want to wait or make use of old, already archaic data for generating insights.
CDC enables real-time data integration for businesses, which makes continuous and consistent data available across systems and applications, eliminating inaccuracies and redundancies and significantly boosting accuracy.
By improving efficiency, reducing disruptions and accessing most updated data, organizations can stay agile, nimble and ready to make decisions at the speed of change.
Broadly, there are two modes of CDC In Oracle – Synchronous and Asynchronous. Synchronous CDC is executed using triggers. Asynchronous CDC is implemented using redo logs.
For businesses, the ever important question is – what is the importance of CDC in a data pipeline and how does it really help businesses?
Essentially, CDC enables real-time data replication and integration with ETL (Extract, Transform, Load) workflows by providing a reliable, robust and responsive mechanism for data capturing, replication and migration for real-time systems.
This facilitates and boosts practical business use-cases like real-time data analytics for recommendation engines and other applications.
Let’s take a look at the different replication types of Change Data Capture implementation in Oracle database:
- Using Timestamps: Timestamps are used for recording the date and time when a particular record was interested or updated inside a database. They can be used for replicating the modified records.
- Using Triggers: Triggers are used for defining tables where data changes are to be made. Triggers can be collected into the change table using timestamps.
- Using Logs: Log-based CDC is the most preferred method which can replicate all the changes accurately and simultaneously, without causing overheads on the source.
If your business is ready to embrace the power, precision and capabilities of real-time data replication using CDC In Oracle, there are two ways to achieve your goal.
The first way is to do it the hard way i.e. allocate dedicated resources and invest time and cost in integrating it yourself, which is more expensive and challenging for many businesses.
The second way is to leverage a powerful data replication tool like Bryteflow for Oracle CDC which can help you streamline the task, save resources and achieve your goal easily.
Here are the key benefits of choosing BryteFlow’s data replication tool for integrating CDC:
- Real-time data replication with seamless performance
- Multi-thread processing, log-based change data capture with higher throughput
- No-code, fully automated data ingestion capabilities
- Fully compliant with multiple Oracle versions, even future releases
- Enterprise grade security features
- Time-stamped data replication with no impact on data source
BryteFlow utilises log-based change data capture (CDC) using which companies can merge data from various sources such as – Oracle, Salesforce, SQL and SAP and transform user data for analytics, business intelligence, machine learning and artificial intelligence use-cases while preserving data integrity.
Using BryteFlow’s simple, intuitive, point-and-click interface, your existing Oracle database can be readily replicated in real-time within an automated environment. It is completely possible to access, merge, mask and remodel data without the need of any advanced coding or dedicated database administrators.
BryteFlow goes beyond the basics to use multi-threaded, parallel processing techniques which guarantee a high throughput, even where data volumes are massive without affecting performance.
Thanks to its built-in capabilities, there is zero impact on source plus you can easily track the entire process with an advanced data monitoring dashboard.
Compared to Oracle GoldenGate, using Bryteflow can help you achieve up to six times faster speeds, even while replicating terabytes of data. This means you can achieve your goal within weeks, not months.
Unlike GoldenGate, you do not need to pay any licensing fees for real-time CDC with Bryteflow. As a plug-and-play, scale-as-you-use tool, it is one of the easiest ways to data replication.
It’s time to experience a seamless, secure and scalable solution like Bryteflow which can save you the hassle of manually integrating CDC while helping you achieve enterprise-grade performance.
