Introduction
Data is the engine powering the growth of modern day businesses and having access to updated, relevant and actionable data has become a competitive advantage.
In the past, data was flat and siloed, which meant slow and inconsistent processes and delayed insights and inconsistent results.
However, in the modern, hyper-connected age of today, businesses need real-time data to power applications and derive relevant insights.
To achieve this, businesses are moving from legacy tools to cutting-edge solutions and migrating their existing databases to newer, faster and more scalable alternatives.
This is how relational databases came into existence as a way to collect, filter and organise information based on specific fields to generate custom data analytics and insights.
With relational databases, the speed of updating and processing data is boosted and therefore, they have become the modern standards in database system management.
One such example of a relational database is Oracle which enables businesses to replicate changes in real-time i.e. reduce the time between data updation and processing.
However, as data volumes continue to grow and expand exponentially and data becomes more complex and nuanced, solutions like Oracle are also showing certain disadvantages.
Oracle’s on-premise, legacy infrastructure bottlenecks businesses who want to move at the speed of change, leading to massive storage and high maintenance costs, and heavy operational loads, increased bandwidth consumption and reduced performance.
This results in increased costs, reduced productivity and complexities in replicating changes made to the data.
To solve this, Microsoft SQL server has emerged as another robust, scalable and feature-rich relational database management system.
Like Oracle, SQL server is also 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. SQL server enables real-time application on database systems, and allows fast access to change, update and manage the data.
This is why many businesses are considering migrating from Oracle to SQL server however the process might seem simple but it requires resources and careful consideration.
In this article, you will learn about the benefits of migrating to SQL server and how to use the right tool to get the job done seamlessly.
Benefits of Microsoft SQL Server over Oracle
By moving from a legacy infrastructure like Oracle to a more modern, future-ready solution like SQL server, businesses can reap many advantages and benefits such as:
- Robust Features: SQL server offers several cutting-edge 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 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.
- Cost Savings: When considering maintenance and operation of a relational database management system, the ownership costs of SQL server are cheaper, in comparison to Oracle which can be costly in the long run.
- Easy to Install: Thanks to its user-friendly installation interface, anyone can set SQL server without requiring pre-requisite database installation knowledge. You do not need any extensive coding or command-line configurations.
If you are ready to embark on the database migration journey to SQL server, it is important to prepare for some common challenges faced in the process.
Potential challenges in database migration
Before database migration, you must be clear about a few aspects such as the size and volume of data and the type of data you will migrate.
Since business data migration is a critical process, here are some common pitfalls to avoid:
- Breach of Data: The security of data is of paramount importance to any business. Yet, data security breaches are a common concern experienced while migrating databases from a source to a target destination.
- Loss of Data: One of the most common challenges faced during migration is data loss, which is why businesses should carefully plan and test for data loss before starting and after completing the migration process.
If you are not aware about the specific details about your database and the ideal way to map out the data replication process, then it could lead to data loss, breach or inaccurate data migration due to format inconsistencies.
Using Bryteflow for SQL server migration
If your business is ready to migrate data from Oracle to SQL server, then it’s time to explore Bryteflow as a no-code, fully automated tool for the task.
Bryteflow offers super-fast, real-time data replication speeds and allows bulk loading and replicating data without needing you to write even a single line of code. The best part is that there’s no impact on source data, and the entire process is completely automated.
Bryteflow supports ingestion of bulk data migration with parallel loading for high speed, real-time data migration from all versions of Oracle, including Oracle 12 c and 19c.
Get in touch for a demo today and experience a seamless, secure and efficient way to migrate your business data.
