Practical Patterns
Common Use Cases
BaseKV is built for the steady middle: workloads that want persistence on day one, calm operations, and pricing that stays boring.
Use your existing Redis or Memcached clients, or a DynamoDB-style API for simple item workflows, and keep the same key/value model across services.
Materialized Views
Precompute expensive joins or aggregations into a single value per entity so dashboards stay instant.
- You read the same derived data repeatedly.
- You want predictable performance under steady traffic.
- You prefer simple key-based access over secondary indexes.
Session and State
Persist sessions without keeping everything in memory or debugging eviction surprises.
- Sessions must survive restarts.
- The dataset is modest, but you want durability by default.
- You want to keep your Redis client and patterns.
Queues and Background Jobs
Use simple push/pop patterns for work queues, plus per-job metadata in hashes.
- You want a straightforward queue without adding a new system.
- Jobs should survive restarts.
- You prefer a key/value model over a bespoke queue service.
Leaderboards and Rankings
Keep scoreboards and top-N lists in a durable place, not a rebuild-on-restart cache.
- You need rankings that persist.
- Reads matter more than constant heavy writes.
- You want simple data structures and predictable exports.
Event Logs You Can Export
Capture append-only events for audits or analytics, then export snapshots when you need them.
- You want an operational event trail without a data warehouse commitment.
- You want simple retention policies and straightforward exports.
- You want to keep the model as keys and values.
Configuration Data
Store feature flags, settings, and app state with low write churn and clean exports.
- You need a single source of truth for config values.
- You want data you can export without special tooling.
- You want a KV model, not a full document database.
Edge Caching
Keep regional key-value layers close to users without treating RAM as your storage tier.
- You want faster reads without introducing a complex cache stack.
- You want predictable costs at steady scale.
- You need durability for values that should not disappear.
Protocol Bridge (Redis and Memcached)
Migrate gradually: modern Redis clients and legacy Memcached clients can share the same key/value model.
- You are modernizing a legacy cache layer.
- You want to avoid a big-bang rewrite.
- You want one place to store and export the data.
When BaseKV is not a fit
BaseKV is built for steady key-value workloads and calm operations. If you need the absolute maximum in-memory performance, multi-region active-active, or a full DynamoDB feature set, it may not be the right match.
- Extremely write-heavy workloads where peak latency is the priority.
- Strict multi-region or active-active requirements.
- DynamoDB features beyond basic get/put style workflows.
Start with a workspace
Create a workspace, spin up a database, and point your Redis client at BaseKV. No credit card required to start.