Design systems visually in RealityDB Studio. Generate production-fidelity datasets with the CLI. No production data copied. No PII exposed.
Relationships. Lifecycles. Event streams. Growth patterns. Anomalies. Not just fake rows.
Most teams struggle with the same four things. RealityDB eliminates all of them.
Dashboards are blank. Features can't be tested. You spend hours writing brittle seed scripts that break on every migration.
Faker generates random values, not systems. Dates are impossible. FK references are orphaned. Distributions are uniform, not real.
Production bugs depend on specific data states. Without the exact relational context, reproduction is guesswork.
Copying production data violates GDPR, HIPAA, and SOC2. But synthetic data is usually too shallow to catch real bugs.
Three steps from schema design to a fully populated database.
Model tables, relationships, lifecycle rules, and temporal dependencies visually. Preview ghost data instantly. Or load a domain template.
studio.realitydb.devOne click exports a portable JSON with schemas, strategies, FK references, lifecycle rules, temporal deps, and weighted distributions.
realitydb-template.jsonOne command creates tables and seeds data. Correct FK ordering, lifecycle nullification, temporal enforcement. Deterministic and reproducible.
realitydb run --pack template.json --connection "..."RealityDB generates interconnected systems, not isolated rows. Every feature enforces correctness at scale.
Tables are seeded in dependency order. Every FK reference points to a real parent row. Zero orphans, guaranteed — even at 2M+ rows.
Temporal dependencies are enforced automatically. Shipments always arrive after dispatch. Subscriptions start after signups.
When an order is cancelled, shipped_at is NULL — because cancelled orders were never shipped. Lifecycle rules enforce domain-correct state transitions.
60% of orders delivered, 20% shipped, 10% pending, 10% returned. You define the weights. The engine produces exact statistical distributions.
Deterministic generation means identical datasets across machines, environments, and time. Debug a specific state. Share it. Run it in CI.
Scan existing databases for PII. Mask with realistic fakes, deterministic tokens, or full redaction. Cryptographic audit trail included.
Capture a live database, automatically mask PII, and share it as a portable file. Your teammate reproduces the exact environment locally in one command.
No more "can't reproduce." No more copying production data. No more PII exposure.
Each template encodes real-world entity relationships, lifecycle state machines, and statistically validated distributions.
Multi-tenant hierarchies, role-based access, tiered subscriptions, billing lifecycle state machines, and payment method distributions.
Customer-to-shipment cascades with order lifecycle rules, carrier weighted distributions, and temporal ordering from cart to delivery.
Multi-tier account structures, transaction lifecycle with failed/reversed nullification, fraud-alert trigger chains, and settlement logic.
Supplier networks with weighted country distributions, purchase order lifecycle, dispatch-to-delivery temporal ordering, and inventory tracking.
Coherent patient journeys across appointments, encounters, and billing. Lifecycle rules for cancelled/no-show appointments. Gender-weighted demographics.
Access log chains, login attempt severity distributions, security alert escalation with resolution lifecycle, and brute-force/malware pattern weighting.
User segmentation distributions, event stream with typed actions, inference logging with latency bounds, and model drift alert lifecycle.
RealityDB's schema-aware engine is verified against schemas with 50+ tables and millions of rows of relational complexity.
No account required. No cloud dependency. Open source. MIT License. Runs entirely on your infrastructure.
Verified: 2.7M rows across 7 industries · Zero FK violations · Zero temporal violations · Open source