Data is at the heart of smart, future-ready decisions. Today’s successful businesses use data to their advantage and turn to accurate, up-to-date information to make high-impact business decisions. As data is logical and concrete, it helps businesses be more confident in planning, operating and executing decisions at different levels. With data based decision making, businesses can commit to a vision and mission, while gaining a strategic edge without relying overly on instinct or business acumen alone.
This massive databoom and its related operations like hosting, maintaining, updating and transferring of data has led to a significant resource tax on data-driven businesses. As the volume and velocity of data continues to increase with each day, cloud based data tools have become mission critical for business growth.
As technology advances, relationship-based databases have emerged, and they are being used for storing, filtering and organising sales, customer and business data based on specific fields for generating segmented, custom data analytics and insights. With relational databases, the speed and accuracy of data increases many folds, and thus, they have quickly become the standard for creating, maintaining, managing and implementing database systems.
This is where Oracle Change Data Capture (CDC) comes into the foray. In the last decade, Oracle CDC has become the go-to solution for better and faster data management for businesses. Oracle database is one such example of a relational database which helps organizations to move at the speed of changes in the data, ie, to process data in real-time and reduce inaccuracies and inconsistencies in the database system.
But there also existed a challenge – Oracle’s on-prem environment became a speedblock for fast moving organizations who wanted to move at the speed of change, on-premise database solutions lead to massive storage and high maintenance costs, and heavy operational loads slowing down the performance and throughput of data workflows.
Then comes another relational database called SQL server, capable of handling, controlling and processing data in tables, pages, files and indexes. SQL server enables simultaneous application on database systems, and allows fast access to change, update and manage the data.
So, what are the advantages of choosing SQL server over Oracle?
- Easy installation: SQL server is easy to install, thanks to its user-friendly installation interface, anyone can set it up and put it to use without requiring pre-requisite database installation knowledge. Setting things up does not require extensive coding or command-line configurations. Further, it seamlessly integrates with other frameworks like .NET and Excel.
- Advanced Features: SQL server offers several advanced features like data restoration and recovery mechanism to help businesses recover lost or damaged data. Database Engine, a core component of SQL server also helps in executing user demands and queries, including transaction files and indexes.
- Better performance: With its built-in data compression and advanced encryption features, SQL server also scores great on performance. There’s no need to modify any additional security programs, and users can easily make use of access controls to secure sensitive user or business data.
- Highly Secure: The SQL environment is extremely secure and it is ready with complex encryption algorithms and multiple security layers for enterprises and businesses.
- Costs Less: When considering the maintenance and operation of a relational database management system, the ownership costs of SQL server are cheaper, in comparison to Oracle. Also, SQL server provides technical notes and scripts and patches without any additional charges (Oracle charges users for calls depending on the support case).
With these advantages, it makes sense for a data-driven business to consider Oracle to SQL server migration.
However, here’s a problem – both Oracle and SQL server handle queries differently and this leads to certain challenges during Oracle to SQL server migration. Due to the differences and incompatibilities of the data type, Oracle and SQL interpret data differently, which might fetch unanticipated and inconsistent results.
So, how can a business solve this problem and seamlessly migrate data?
This is where tools come in handy. There are many tools available to move data from the source to destination. If you are looking to explore one, take a trial of Bryteflow’s powerful, fast and secure Oracle to SQL server migration tool.
Using BryteFlow’s simple, intuitive, point-and-click interface, your business data can be ready to transform without the need of any developer or dedicated resource. It is completely possible to access, merge and remodel data without the need of any coding knowledge.
Bryteflow is an enterprise-grade, fully automated tool to migrate data. With Bryteflow’s blazing fast data replication speed, businesses can bulk load, merge data from any API, files or database and make it easily transformable for SQL server, and replicate data without writing a single line of code.
The best part? With Bryteflow’s robust, fully scalable data migration capabilities, there’s no impact on source data, and the entire process is automated and requires minimum human intervention.
Still waiting to migrate your business data? Get a free trial from Bryteflow today and experience a seamless, secure and upto 6X faster data migration solution to meet your needs.