Everything You Need in One Database
Six data models, one platform. Transactional consistency meets analytical power, with built-in AI capabilities and operational automation.
Multi-Model Unified Engine
True multi-model support, not bolt-on subsystems
Relational (SQL)
Full PostgreSQL wire protocol compatibility. ACID transactions with serializable isolation by default.
Document Store
JSONB storage with path indexing. Schema-flexible document collections with SQL queryability.
Key-Value
Optimized low-latency key operations. Sub-millisecond point lookups with B-tree storage.
Time-Series
Efficient ingestion and retention. Continuous aggregates, downsampling, and auto-rollup.
Property Graph
Native graph storage and traversal. Cypher-like query language for relationship exploration.
Vector Embeddings
Sharded ANN indexing (HNSW + IVF). Approximate nearest neighbor with exact distance reranking.
Deterministic Transaction Engine
Calvin-inspired global ordering for distributed consistency
Global Sequencer
Issues ordering tokens for cross-shard operations. Deterministic execution eliminates distributed locks.
Serializable by Default
Strongest isolation level without performance penalty. Linearizable reads and writes.
Tunable Consistency
Choose consistency model per workload: serializable, snapshot, causal, or eventual.
Distributed Transactions
Efficient cross-shard transactions. Calvin-style execution often eliminates blocking 2PC.
Hybrid Storage Architecture
Transparent tiering from hot NVMe to cold object storage
LSM + B-tree Hybrid
LSM for write-heavy ingestion, B-tree for low-latency point lookups. Best of both worlds.
Hot Tier (NVMe)
In-memory memtables and local SSD for WAL and hot SSTables. Sub-millisecond latency.
Warm Tier (SSD)
High-capacity SSDs for less-frequent reads. Vector index spill files and secondary indexes.
Cold Tier (Object Store)
S3/GCS/Azure Blob for compressed columnar archives. Parquet/ORC format for analytics.
Auto-Tiering
Background services automatically move segments between tiers based on access patterns.
ML & AI Fabric
Integrated feature store and model serving platform
Transactional Feature Store
ACID guarantees for feature updates. Point-in-time consistency for training and serving.
Model Registry
Version control for ML models. Track lineage, metadata, and deployment history.
Vector Indexing
Sharded HNSW + IVF hybrid for scalable ANN search. Reranking for accuracy.
Embedding Generation
Connectors to LLM providers (OpenAI, Vertex AI, Hugging Face) for automatic embedding.
Online Feature Serving
Low-latency feature retrieval for real-time predictions. Cache layer for hot features.
Explainability & Monitoring
Track feature drift, data poisoning, and prediction traces for compliance.
Operational Automation
Self-managing database with autopilot capabilities
Auto-Sharding
Automatic data partitioning based on load. Online resharding without downtime.
Self-Healing Clusters
Automatic failure detection and recovery. Replica promotion and rebalancing.
Point-in-Time Recovery
WAL archival to cold storage. Restore to any point in retention window.
Zero-Downtime Upgrades
Rolling upgrades with backward compatibility. Schema migration without locking.
Compaction Management
Intelligent compaction scheduling. Throttle based on workload to minimize impact.
Enterprise Governance
Security, compliance, and audit capabilities
RBAC & Row-Level Security
Fine-grained access control. Policy-based authorization with row and column filtering.
Encryption
Encryption at rest and in transit. Field-level encryption for sensitive data.
Audit Logs
Comprehensive audit trail for all operations. Tamper-proof logging with retention.
Data Lineage
Track data provenance and transformations. Essential for regulatory compliance.
Compliance
SOC2, GDPR, HIPAA, and CCPA compliance. Right to be forgotten support.
Differential Privacy
Privacy-preserving analytics. Noise injection for statistical queries.
Ready to Consolidate Your Data Stack?
Join the waitlist for early access to entropyDB