Proxies for your stack
PostgreSQL, MySQL, SQL Server, IBM Db2 and Oracle.
CacheDB by houdata.
A transparent database cache for critical workloads.
CacheDB sits between your application and database, accelerating repeated reads while keeping invalidation controlled and visible.
- Transparent path
- Keep existing application logic.
- Targeted invalidation
- Refresh only what changes.
- Operator visibility
- Inspect the cache in real time.
A short product walkthrough hosted on YouTube.
Works with critical data systems
- PostgreSQL
- MySQL
- IBM DB2
- Oracle
- SQL Server
Measurable improvement
Make repeated reads faster. Keep data changes controlled.
CacheDB is designed for teams that need a credible performance path without a rewrite of the systems they already trust.
Encrypted proxy paths
Separate client and backend TLS sessions with backend verification.
One console, multiple targets
Scope operational views and controls to the selected proxy target.
See the workload
Inspect query patterns, rates, cache outcomes, latency and invalidations.
Architecture
Five native proxies. One transparent path.
Each CacheDB proxy speaks its database protocol on both sides. Run in transparent mode to observe traffic without result reuse, or enable cache behavior under an explicit policy.
Proxy instances share no local state. Balance connections across healthy instances and use Redis Community, Valkey or Redis Enterprise for their distributed cache.
Explore product capabilities
Traffic-aware cache policy
Turn proxy traffic into better cache rules.
CacheDB combines programmable scripts and hooks with an AI assistant that studies the operational context visible at the proxy.
Inspect the traffic
Analyze cache metrics, query patterns, invalidation relationships and runtime signals to find inefficient behavior.
Propose the change
Suggest a focused script or trigger for cache eligibility, freshness, or selective invalidation, based on the workload.
Review before rollout
Validate candidates with the production engine without deploying them. Operators remain responsible for review and activation.
Multi-tenant console
Operate multiple proxy targets from one console.
CacheDB makes performance policy an operational system: observable, attributable, integrated with identity, and designed for resilient deployments.
Tenant-scoped operations
Review fleet metrics, alerts, configuration and license status in the selected tenant context.
Auditable change
Record protected actions and policy deployments in an append-only audit history with export support.
Proxy high availability
Balance database connections across multiple shared-nothing proxy instances, with health checks to avoid unavailable instances.
Single sign-on
Use standards-based OIDC and role mappings for console access.
Evidence for operators
Understand the query. Review the policy.
CacheDB exposes the operational context needed to review cache outcomes and tune explicit policy with confidence.
A controlled evaluation
Observe. Decide. Act. Measure.
Start with the workload you already operate. Validate the result with evidence before broadening the deployment.
- 01
Observe
Identify repeated reads, load patterns and current constraints.
- 02
Decide
Model cache policy, TTLs and invalidation boundaries.
- 03
Act
Introduce CacheDB into a controlled path without rewriting application logic.
- 04
Measure
Compare latency, hit ratio and database load against the baseline.
Technical overview
See how CacheDB fits your database path.
Technical conversation
Evaluate CacheDB against your environment.
Tell us about the database, workload and performance constraint you are working with. We will start with a focused, evidence-led discussion.