5 Keys to Database Scalability

5 Keys to Database Scalability


Do your employees often tell customers, “Sorry, I’m waiting on the computer”? Is employee efficiency compromised by slow computer processing? If so, you may need to consider hiring a specialist to increase your database scalability.

In today’s world, time is money. All businesses seek to optimize processes to increase their profit margins. Continue reading this article to learn more about the benefits of database scalability.

Why is Database Scalability Important?

Businesses collect data every day. Database scalability allows your system to process variable amounts of data. Non-scalable databases often result in downtime when working with large amounts of data.


When the database is overwhelmed by data, the memory becomes drained. It can’t handle multiple requests at the same time. Workflow grinds to a stop.

1. Vertical Scaling

When your database can’t keep up with the amount of data load, you may choose to buy a larger server. Vertical scaling solves data overload by upgrading to larger hardware.

This may involve adding a more powerful CPU and disk to increase your storage process. Vertical scaling may solve your problem unless the data must be queried as well. Vertical scaling doesn’t solve heavy query loads issues.

Relational databases most often use vertical scaling.

2. Horizontal Scaling

Horizontal scaling involves adding more machines. This allows data distribution across several servers or shards.

Each shard functions as an independent database. The processing load is now distributed across numerous machines.

3. Effective Indexing

Selecting indexes for the most frequently queried values impacts database performance. Optimal indexing allows for adaptation to changing environmental factors including data volume. This speeds response time.

4. Database Normalization 

When creating a scalable database, you must consider data redundancy and inconsistency. Normalization works to decrease data redundancy and inconsistency in the tables. Thus, more tables must be accessed when completing processes.

5. Database Denormalization

Database denormalization adds redundancy with the goal of increasing query speed. This method decreases the number of tables but these tables contain more fields. These fields are often duplicated in other tables.

Denormalization only asks the query to look at one table to access all required fields. In a normalized design, the query must look at several tables to locate the needed fields. This can take more time.

Benefits of a Consulting Company

Companies such as salesforce consulting provide the technical expertise to optimize your database. They assist in designing an efficient database that smoothly integrates into your business processes. These expert designs will engage your employees, customers, and stakeholders.

Efficient and intuitive databases allow you to retrieve meaningful data quicker. This company has relationships with top technology companies worldwide. You benefit from a broad resource pool to find the solution you need today.

Are You Ready to Jump on the Fast Track?

Today, businesses rely on web solutions, high tech approaches to sales, inventory, and customer data management. Many of these tasks need database scalability to optimize their performance.

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