Recent case studies highlight our work optimizing databases for AI workloads, including vector search implementation in MariaDB, data pipeline optimization, and specialized database configurations that support machine learning models with minimal latency.
Our case studies document comprehensive cost optimization analyses that have saved clients 30-60% on infrastructure costs through database consolidation, query optimization, proper indexing strategies, and cloud resource right-sizing.
We’ve worked with startups, unicorns, e-commerce companies, fintech firms, and SaaS providers — giving you examples across various industries
As documented in our case studies, clients typically see query response times reduced from seconds to milliseconds, with one client reporting a 99.9% reduction in unplanned downtime and another achieving a 70% reduction in database resource consumption.
Our case studies demonstrate how we've enabled e-commerce clients to scale 20X in short timeframes through strategic database optimization, load balancing with ProxySQL and MaxScale, and implementing high-availability solutions like InnoDB Cluster and MariaDB Cluster.
Yes, our case studies are free to access and share. You can use them internally for discussion, evaluation, or decision-making support
Yes, many of our solutions leverage open-source tools and best practices for database performance, backup, and monitoring.
Yes! If you find a case study that reflects your current challenges, feel free to reach out. We’re happy to discuss how we can help.
Our case studies are categorized by database types (MySQL, MongoDB, PostgreSQL, etc.), challenges solved, and solutions implemented — making it easy to find what’s relevant.
Absolutely. All our case studies are based on real clients and real outcomes, with client consent to share non-sensitive project details.
