Autonomous database optimization
No code, no configurations, just faster queries and
improved performance.
Trusted by 2100+ companies globally
Key features
Database optimization, deployed in minutes
Automated caching
Identify caching opportunities using advanced machine learning to detect patterns in query traffic automatically.
- Continuously adapt to changing query patterns in real-time.
- Autonomously optimize cache configurations at scale, achieving efficiency levels beyond manual tuning
- No configuration or application-side coding necessary
Query performance visibility
See all queries and cache insights with an intuitive dashboard, including historical and real-time performance data.
- Identify high-impact queries by analyzing cache hits, patterns, and total query volume.
- Monitor query frequency, variation, and execution time across your apps.
- Track trends with granular metrics to expose usage patterns and bottlenecks.
Smart invalidation
Use automation to achieve scaling through automatic invalidation.
- Instantly remove stale data with real-time, automated invalidation—no code or config needed.
- Multi-layer invalidation with row-level analysis, table-level fallback, and automated monitoring.
- Scale without stressing the database by inspecting wire traffic instead of using WAL.
Automatic TTL configuration
No need to set TTLs for your queries. DBO finds the optimal ones for you.
Passthrough mode
Not ready to cache yet? Enable passthrough for full query visibility and projected performance.
Manual mode
Cache only the queries you choose. Let DBO set the TTL or configure it manually for full control.
TTL mode
Choose Dynamic TTL to auto-adjust expiration, or use Fixed TTL for manual control.
Built-in failover
Maintain connectivity by dynamically routing traffic–no client-side changes needed.
Automated database discovery
Auto-discover AWS RDS databases, then choose which ones to use with DBO.
Setup
Get started in three steps
Configure DBO for your database and install DBO in your cluster.
Update your application to point to DBO.
Turn on caching.
Case study
Flowcore achieves cache hit rates of 80-90% and significantly improves performance
“One of the toughest challenges with database caching is cache invalidation. But with Cast AI’s DBO, it just works right out of the box. If you’re thinking about adding a cache, DBO is an easy choice.”
Julius Á Rógvi Biskopstø
Co-Founder / CTO
Case study
Akamai optimizes read-heavy workloads automatically, saving costs
“Autonomous caching is one of the most effective ways to optimize read-heavy workloads, and Cast AI’s approach is brilliantly executed. DBO removes the need for manual tuning while delivering real-time performance gains and cost reductions. It’s a strong addition to the Cast AI platform.”
Dekel Shavit
Sr. Director of Engineering
Learn more
Additional resources
Blog
Qwen2.5:14B vs. GPT-4o-mini: Which One Is Cheaper at Scale?
Discover how you can optimize LLM cost without sacrificing performance.
Docs
Database Optimizer – Introduction and Key Benefits
Learn more about DBO in our product pages – explore how our AI-driven database cache works.
Blog
Cloud Cost Optimization: 5 Impactful Tactics For 2025
Cloud cost optimization is the best way to manage long-term cloud costs – and automation helps.
FAQ
Your questions, answered
Cast AI DBO is an autonomous caching solution that improves database query performance, reduces database load, and lowers infrastructure costs without requiring code changes, configuration, or manual tuning.
DBO acts as a transparent proxy between your application and database, automatically caching frequently accessed query results and serving them at sub-millisecond speeds, while intelligently invalidating cached data when changes occur.
DBO is designed to accelerate read-heavy workloads, including SaaS applications, APIs, microservices, and transactional systems, especially those with stateful workloads or long-running jobs that are sensitive to database performance.
DBO is deployed as a lightweight proxy within your architecture. To deploy it, simply update your application’s database connection string to point to DBO. No code changes or application rewrites are needed.
DBO initially supports PostgreSQL and MySQL, with additional database engines planned on the roadmap. Please contact the Cast AI team for the most up-to-date compatibility details.
DBO uses real-time query analysis and a smart invalidation engine to automatically detect when cached data becomes stale and remove or refresh it, ensuring applications always receive accurate results.
Out of the box, DBO works fully automatically, but advanced users can customize caching policies if needed.
Customers typically see significantly faster query response times, reduced database CPU and I/O load, improved resource efficiency, and lower cloud database costs — all with minimal operational effort.
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