The Database That
Optimizes Itself
JouleDB reduces your cloud costs by 40% through autonomous optimization. Not better algorithms—smarter decisions.
Your Database Is Blind
Traditional databases execute the same plan whether you're running one query or a million. They can't see their own resource consumption.
Fixed Query Plans
Same execution path every time. No adaptation to current load, available resources, or cost constraints.
Static Resource Allocation
Provisioned for peak load 24/7. Paying for resources you only need 5% of the time.
No Cost Awareness
Your database doesn't know or care how much each operation costs. It runs until you get the bill.
JouleDB Optimizes Itself
Built with the Joule programming language, JouleDB knows its own resource consumption and makes smarter decisions.
Energy-Aware Query Routing
For each query, JouleDB estimates the cost of different execution paths and chooses the most efficient one for your current budget.
Intelligent Workload Scheduling
Non-urgent queries are automatically batched and deferred to low-cost periods. Similar queries share cache and execution resources.
Dynamic Resource Right-Sizing
Resources scale based on actual usage, not worst-case provisioning. Storage tiers automatically based on access patterns and energy cost.
fn execute(query: Query, budget: EnergyBudget) -> Result {
// Estimate cost of different paths
let index_scan = estimate_energy(plan_index);
let full_scan = estimate_energy(plan_full);
// Choose the path that fits budget
if index_scan <= budget {
execute_plan(plan_index)
} else if full_scan <= budget {
execute_plan(plan_full)
} else {
// Defer to low-cost period
schedule_for_later(query)
}
}Built for Modern Workloads
OLTP, OLAP, and semantic search in one database. All self-optimizing.
Hybrid OLTP/OLAP
Transactional and analytical workloads in one engine. No ETL, no sync.
Semantic Search
HDC-encoded vectors for O(1) similarity search. No external vector DB needed.
Columnar Analytics
Arrow-based vectorized execution with zone-map pruning for fast aggregations.
Built-in Encryption
Encryption at rest and in transit. RBAC out of the box. No plugins required.
Multi-Language Queries
SQL, Cypher, GraphQL, and more. One database, many query paradigms.
21 Domain Modules
Finance, healthcare, gaming, IoT, and more. Pre-built domain encoders.
Measured, Not Claimed
Real benchmarks against PostgreSQL on equivalent workloads.
Query Routing Savings
Choosing energy-efficient execution paths based on current constraints.
Workload Scheduling
Batching and deferring intelligently for cache efficiency.
Storage Tiering
Moving data based on energy cost, not just access time.
Total Cost Reduction
vs PostgreSQL on equivalent workloads
Get Started in 30 Seconds
# Install JouleDB
$ cargo install jouledb
# Start the server
$ jouledb start
JouleDB running on http://localhost:8080
# Connect and query
$ jouledb query "SELECT * FROM users WHERE active = true"Powered by Energy-Aware Computing
JouleDB is written in Joule, a programming language where energy is a first-class type-system primitive. This is what enables autonomous optimization—the database knows its own resource cost and can make decisions accordingly.
Learn about Joule@energy_budget(50mJ)
fn process_query(q: Query) -> Result {
// Compiler guarantees this
// cannot exceed 50mJ
}Ready to Cut Your Cloud Costs?
JouleDB is open source and free to use. Start optimizing today.