Vitesse is a distributed SQL database designed to scale large applications by sharding databases across multiple servers. It provides horizontal scalability, high availability, and strong consistency for managing large volumes of data. Vitesse is often used in cloud environments to handle complex queries efficiently while maintaining low latency and operational simplicity.
Vitesse
Vitesse is a distributed SQL database designed to scale large applications by sharding databases across multiple servers. It provides horizontal scalability, high availability, and strong consistency for managing large volumes of data. Vitesse is often used in cloud environments to handle complex queries efficiently while maintaining low latency and operational simplicity.
Top 5*
Database Technologies

About Vitesse
Vitesse was created in 2010 by engineers at YouTube to address the challenges of scaling their MySQL databases. It was developed to manage the massive growth in data and user traffic, providing a solution for horizontal scaling without compromising on performance or reliability. Vitesse later became an open-source project, widely adopted for its ability to handle large-scale database operations efficiently.
Strengths of Vitesse include its ability to scale horizontally, maintain strong consistency, and provide high availability, making it suitable for large-scale applications. Weaknesses may involve a complex setup and management, requiring expertise in distributed systems. Competitors include Google Spanner, CockroachDB, and Amazon Aurora, which also offer scalable database solutions with varying features and capabilities.
Hire Vitesse Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a Vitesse expert
A Vitesse expert must have strong proficiency in SQL and database management, experience with distributed systems and sharding techniques, and understanding of cloud infrastructure. They should also be skilled in Kubernetes for orchestration, have knowledge of MySQL compatibility, and possess the ability to troubleshoot and optimize performance in a complex environment. Proficiency in scripting languages for automation and familiarity with monitoring tools is also essential.
The best of the best optimized for your budget.
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top global talent with no middlemen or hidden fees.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.