Web Development

Database Optimization

Maximizing the speed and efficiency with which data is retrieved to provide an optimal experience for site visitors, leading to lower bounce rates and higher conversion.

There are numerous types of database performance problems, which can make it difficult to track down the actual cause of an issue. The problem could be in the database structure or it could be a badly written query in your application code. Bad database design and improperly coded SQL statements can certainly result in poor performance. It may also be that a system was well-designed initially, but incremental changes over time caused performance to degrade.

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With any database-driven website, as usage changes over time database performance can be negatively affected. The root cause of the performance degradation may be difficult to determine in this situation, but testing and looking for areas to improve can still be done to great effect.

Crowd Favorite can help maximize the performance of your database deployment by analyzing your current configuration to identify potential areas for improvement such as offloading workload intensive operations to memcache, evaluating solutions for optimal performance at large scale and more. SQL queries can be also be identified and investigated for improvements. Our engineers can study the SQL queries, doing incremental testing as they identify and make optimizations to the code, to monitor the gains achieved from the improved queries.

Where We Excel At
Improving Database Efficiency

Database optimization assumes a critical role in this high-risk environment. Crowd Favorite is uniquely suited to help you gain control over your database environment. We understand the important role information plays in your organization and we know how to help you store and manage it so it is both safe and accessible. With any database-driven website, as usage changes over time database performance can be negatively affected. The root cause of the performance degradation may be difficult to determine in this situation, but testing and looking for areas to improve can still be done to great effect. Crowd Favorite can help maximize the performance of your database deployment by analyzing your current configuration to identify potential areas for improvement such as offloading workload intensive operations to memcache, evaluating solutions for optimal performance at large scale and more. SQL queries can be also be identified and investigated for improvements. Our engineers can study the SQL queries, doing incremental testing as they identify and make optimizations to the code, to monitor the gains achieved from the improved queries.

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Our Unique Approach to
Database Optimization

Many organizations underestimate the likelihood of data infrastructure failure or fail to consider the consequences of such an occurrence. The more likely mindset is a focus on growing ever-larger volumes of data, which is thought of, incorrectly, as increased business performance. Low-cost servers, digital content, compliance requirements and easy-to-use modular storage technologies all feed this philosophy of "more is better". Amidst this expansion of data center footprints, many organizations fail to realize that they are unintentionally creating an environment where data degradation or outright failure is an increasing likelihood. If your database server requires constant cycling or ever-increasing hardware resources added to it, the problem may be not be sufficient hardware, but rather the structure of the database or poorly written queries.

Taking a short number of steps to do some analysis may directly benefit you in long-term savings from not needing as much server hardware. Some of these steps may include:

  • Tuning SQL queries to ensure they are as optimal as possible. Can the code be improved for more efficient database queries?
  • Analyzing the efficacy of existing database indices. Is there some cleanup that needs to be done?
  • Investigating database structure for areas not performing well. Is the database architecture the best for the site? Should there be some adjustments made?

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