HeliosDB Feature Index
Last Updated: November 2, 2025
Version: v6.0 Phase 2 M1
Production-Ready: 82 features (51.2% of 160 total planned)
Quick reference index to all HeliosDB features organized by category and use case.
Note: This index tracks production-ready features only. For complete roadmap including planned features, see ROADMAP.md.
Quick Navigation
By Category:
By Use Case:
By Version:
Core Database Features
Storage & Data Management
| Feature | Version | Description | Details |
|---|
| LSM-Tree Storage | v3.0 | Write-optimized log-structured merge tree | FEATURES.md |
| MVCC | v3.0 | Multi-version concurrency control | FEATURES.md |
| Temporal Tables | v3.0 | System-versioned time-travel queries | FEATURES.md |
| Materialized Views | v3.0 | Incremental refresh pre-computed views | FEATURES.md |
| Hybrid Columnar Compression | v3.0 | 6-10x compression with adaptive algorithms | FEATURES.md |
Query Processing
| Feature | Version | Description | Details |
|---|
| Cost-Based Optimizer | v3.0 | Advanced query optimization | FEATURES.md |
| Distributed Query Execution | v3.0 | Multi-node parallel queries | FEATURES.md |
| Adaptive Indexing | v3.0 | ML-based auto-index creation | FEATURES.md |
| JIT Compilation | v4.0 | LLVM-based query compilation | FEATURES.md |
Transaction Management
| Feature | Version | Description | Details |
|---|
| Distributed 2PC | v3.0 | Two-phase commit for ACID | FEATURES.md |
| Snapshot Isolation | v3.0 | Serializable transactions | FEATURES.md |
| Saga Pattern Support | v3.4 | Long-running distributed transactions | FEATURES.md |
AI & Intelligence Features
Natural Language Processing
| Feature | Version | Description | Performance | Details |
|---|
| NL2SQL | v5.1 | Natural language to SQL translation | 98.7% TPC-H accuracy | FEATURES.md |
| Conversational DBA | v5.1 | Multi-turn chat for database ops | 92% task completion | FEATURES.md |
| Semantic Search | v5.1 | Natural language table/column search | Sub-100ms P99 | FEATURES.md |
Machine Learning
| Feature | Version | Description | Details |
|---|
| Adaptive Indexing | v3.0 | ML-based index recommendations | FEATURES.md |
| Query Workload Prediction | v4.0 | Predict and pre-optimize queries | FEATURES.md |
| Autonomous Tuning | v4.0 | Self-optimizing configuration | FEATURES.md |
| Pattern Analyzer | v6.0 | AST-based workload optimization | FEATURES.md |
Vector & Embeddings
| Feature | Version | Description | Performance | Details |
|---|
| Vector Search (HNSW) | v5.1 | Approximate nearest neighbor | Sub-10ms @ 100K vectors | FEATURES.md |
| Hybrid Vector Search | v6.0 | Dense + sparse fusion | 97%+ recall@10 | FEATURES.md |
| Embedding Generation | v5.1 | Built-in text-to-vector | Multiple models | FEATURES.md |
Optimization
| Feature | Version | Description | Speedup | Details |
|---|
| JIT Compilation | v4.0 | LLVM query compilation | 2-10x | FEATURES.md |
| Quantum-Inspired Optimizer | v4.0 | QAOA for complex queries | 100x analytical | FEATURES.md |
| Vectorized Execution | v4.0 | SIMD batch processing | 4-8x | FEATURES.md |
| Pattern Analyzer | v6.0 | Workload optimization | 15-30% | FEATURES.md |
Caching & Acceleration
| Feature | Version | Description | Details |
|---|
| Result Set Caching | v3.3 | Query result cache with invalidation | FEATURES.md |
| Edge Caching | v4.0 | 4-tier distributed cache | FEATURES.md |
| Pre-Warming | v4.0 | Predictive cache population | FEATURES.md |
Compression & Storage
| Feature | Version | Description | Ratio | Details |
|---|
| Hybrid Columnar Compression | v3.0 | Multi-algorithm adaptive | 6-10x | FEATURES.md |
| HCC v2 | v4.0 | GPU-accelerated | 10-15x | FEATURES.md |
| Smart Tiering | v4.0 | Hot/warm/cold auto-tiering | 85% cost reduction | FEATURES.md |
Security & Privacy Features
Encryption
| Feature | Version | Description | Details |
|---|
| TDE (Transparent Data Encryption) | v3.2 | At-rest encryption | FEATURES.md |
| Post-Quantum Cryptography | v4.0 | CRYSTALS-Kyber/Dilithium | FEATURES.md |
| Checkpoint Encryption | v6.0 | Multi-cloud KMS integration | FEATURES.md |
| Column-Level Encryption | v3.2 | Per-column encryption | FEATURES.md |
Privacy
| Feature | Version | Description | Details |
|---|
| Federated Learning | v4.0 | Privacy-preserving ML | FEATURES.md |
| Homomorphic Encryption | v4.0 | Compute on encrypted data | FEATURES.md |
| Differential Privacy | v5.1 | Privacy-preserving analytics | FEATURES.md |
Compliance
| Feature | Version | Description | Details |
|---|
| Audit Logging | v3.2 | Immutable audit trail | FEATURES.md |
| Blockchain Audit Trail | v4.0 | Tamper-proof audit log | FEATURES.md |
| Row-Level Security | v3.2 | Fine-grained access control | FEATURES.md |
Distributed & Replication Features
Replication
| Feature | Version | Description | Performance | Details |
|---|
| Multi-Master CRDT | v3.4 | Conflict-free replication | <50ms global | FEATURES.md |
| Active-Active Replication | v3.4 | Bidirectional replication | 99.99% uptime | FEATURES.md |
| Raft Consensus | v3.4 | Leader election | <100ms | FEATURES.md |
Sharding & Partitioning
| Feature | Version | Description | Details |
|---|
| Automatic Sharding | v3.4 | Transparent horizontal partitioning | FEATURES.md |
| Schema-Based Sharding | v4.0 | Multi-tenancy isolation | FEATURES.md |
| Consistent Hashing | v3.4 | Minimal rebalancing | FEATURES.md |
High Availability
| Feature | Version | Description | RTO | Details |
|---|
| Automatic Failover | v3.3 | Leader election on failure | <30s | FEATURES.md |
| Health Checks | v3.3 | Proactive failure detection | <5s | FEATURES.md |
| Self-Healing | v4.0 | Autonomous recovery | 96% resolution | FEATURES.md |
Developer Experience Features
Database Branching
| Feature | Version | Description | Performance | Details |
|---|
| Git-Style Branching | v4.0 | Copy-on-write branches | 555μs creation | FEATURES.md |
| Time-Travel Branching | v4.0 | Branch from any point in time | Zero overhead | FEATURES.md |
| Schema Diffing | v4.0 | Compare schemas across branches | Instant | FEATURES.md |
Multi-Protocol Support
| Feature | Version | Description | Compatibility | Details |
|---|
| PostgreSQL Protocol | v3.1 | Wire protocol compatibility | 100% | FEATURES.md |
| MySQL Protocol | v3.1 | MySQL client support | 95% | FEATURES.md |
| Oracle Protocol (TNS) | v3.1 | Oracle client compatibility | 90% | FEATURES.md |
| HTTP/REST API | v3.1 | RESTful interface | Full | FEATURES.md |
Data Integration
| Feature | Version | Description | Details |
|---|
| Change Data Capture (CDC) | v3.0 | Stream changes to Kafka/Kinesis | FEATURES.md |
| GraphQL API | v3.1 | GraphQL query interface | FEATURES.md |
| Foreign Data Wrappers | v3.1 | Query external databases | FEATURES.md |
Cloud & Serverless Features
Serverless
| Feature | Version | Description | Performance | Details |
|---|
| Scale-to-Zero | v4.0 | Auto-pause inactive databases | 170ms resume | FEATURES.md |
| Elastic Autoscaling | v4.0 | CPU/memory auto-scaling | 85% accuracy | FEATURES.md |
| Serverless Functions | v4.0 | In-database UDFs | <10ms | FEATURES.md |
Cloud-Native
| Feature | Version | Description | Details |
|---|
| 3-Tier Storage | v4.0 | Hot/warm/cold tiering | FEATURES.md |
| Multi-Cloud Support | v3.4 | AWS, Azure, GCP | FEATURES.md |
| Kubernetes Operator | v3.4 | K8s native deployment | FEATURES.md |
Use Case Features
Oracle Migration Features
Why Choose HeliosDB: 2-hour migration vs 6-12 months traditional
| Feature | Oracle Equivalent | Compatibility | Details |
|---|
| Oracle Protocol (TNS) | Native | 90% | FEATURES.md |
| PL/SQL Compatibility | PL/SQL | 85% | FEATURES.md |
| Oracle Functions | Built-in functions | 90% | Migration guide |
| Table Partitioning | Partitioning | 100% | FEATURES.md |
| Materialized Views | MVs | 100% | FEATURES.md |
Cost Savings: $1M+ annually (vs Oracle licenses)
Real-Time Analytics Features
Use Case: Sub-second dashboards on live data
| Feature | Benefit | Performance | Details |
|---|
| Time-Series Optimizations | Fast ingest & query | 100K-1M inserts/sec | FEATURES.md |
| Materialized Views | Pre-computed aggregates | <10ms queries | FEATURES.md |
| Columnar Compression | 10x less storage | 10-15x compression | FEATURES.md |
| JIT Compilation | Fast aggregations | 2-10x speedup | FEATURES.md |
| Vectorized Execution | SIMD analytics | 4-8x throughput | FEATURES.md |
AI/ML Application Features
Use Case: Build intelligent applications with embeddings
| Feature | Capability | Performance | Details |
|---|
| Vector Search (HNSW) | Semantic similarity | <10ms @ 100K vectors | FEATURES.md |
| Hybrid Vector Search | Dense + sparse fusion | 97%+ recall@10 | FEATURES.md |
| Embedding Generation | Text to vectors | Built-in models | FEATURES.md |
| NL2SQL | Natural language queries | 98.7% accuracy | FEATURES.md |
| Federated Learning | Privacy-preserving ML | 100+ nodes | FEATURES.md |
Multi-Tenancy Features
Use Case: SaaS applications with thousands of tenants
| Feature | Benefit | Details |
|---|
| Schema-Based Sharding | Tenant isolation | FEATURES.md |
| Row-Level Security | Per-tenant access control | FEATURES.md |
| Resource Quotas | Prevent noisy neighbors | FEATURES.md |
| Git-Style Branching | Per-tenant dev environments | FEATURES.md |
Edge Computing Features
Use Case: Low-latency apps at the edge
| Feature | Benefit | Performance | Details |
|---|
| Edge Caching | 4-tier distributed cache | 95%+ hit rate | FEATURES.md |
| Edge AI Inference | Run ML at edge | <10ms | FEATURES.md |
| Multi-Master CRDT | Sync across regions | <50ms | FEATURES.md |
| Serverless Functions | Compute at edge | <10ms | FEATURES.md |
Feature Timeline by Version
v3.0-v3.4 Foundation (59 features)
v3.0 (30 features): Core architecture, storage, query processing
v3.1 (12 features): Multi-protocol support (PostgreSQL, MySQL, Oracle)
v3.2 (6 features): Enterprise security (TDE, audit, RBAC)
v3.3 (5 features): High availability, caching
v3.4 (6 features): Distributed (CRDT, sharding, K8s)
v4.0 Breakthrough (12 features)
- Serverless (scale-to-zero, autoscaling)
- AI (self-healing, autonomous tuning, prediction)
- Performance (JIT, quantum-inspired optimizer, HCC v2)
- Privacy (federated learning, homomorphic encryption, PQC)
- Developer (Git branching, time-travel, schema diffing)
v5.1 AI-Driven (7 features)
- NL2SQL (natural language queries)
- Conversational DBA (chat interface)
- Semantic Search (NL table/column search)
- Vector Search (HNSW)
- Embedding Generation
- Differential Privacy
v6.0 Phase 2 M1 Production Hardening (4 features)
- Hybrid Vector Search (dense + sparse fusion)
- Pattern Analyzer (AST-based optimization)
- Checkpoint Encryption (multi-cloud KMS)
- Load Testing Framework (chaos engineering)
Feature Comparison Matrix
vs PostgreSQL
| Feature | HeliosDB | PostgreSQL | Advantage |
|---|
| Multi-Protocol | PostgreSQL + MySQL + Oracle | ❌ PostgreSQL only | 3-in-1 compatibility |
| Vector Search | HNSW + Hybrid | ⚠ pgvector (basic) | 10x faster, hybrid search |
| NL2SQL | Built-in | ❌ No | Natural language queries |
| Auto-Tuning | ML-based | ❌ Manual | 98% autonomous |
| Serverless | Scale-to-zero | ❌ No | 84% cost savings |
| PQC | CRYSTALS-Kyber | ❌ No | Future-proof security |
vs Oracle
| Feature | HeliosDB | Oracle | Advantage |
|---|
| Cost | $0-$50K/yr | ❌ $1M+/yr | 95% cost savings |
| Protocol | Oracle TNS 90% | Native | Drop-in replacement |
| Cloud-Native | Multi-cloud | ⚠ OCI-first | Avoid vendor lock-in |
| AI Features | 10+ AI features | ⚠ Limited | Modern AI/ML |
| Migration | 2 hours | ❌ 6-12 months | 99% faster |
vs Snowflake
| Feature | HeliosDB | Snowflake | Advantage |
|---|
| OLTP + OLAP | Both | ⚠ OLAP only | Unified database |
| Protocols | PostgreSQL/MySQL/Oracle | ❌ Proprietary | No vendor lock-in |
| Self-Hosted | Yes | ❌ Cloud-only | Data sovereignty |
| Cost | Serverless + on-prem | ⚠ Expensive | Flexible pricing |
Quick Start by Use Case
”I need to migrate from Oracle”
- Enable Oracle protocol:
heliosdb --protocol=oracle
- Export Oracle schema:
exp user/pass@db
- Import to HeliosDB:
heliosdb import oracle-dump.dmp
- Test queries with Oracle SQL
- Migration time: 2 hours
Guides: Migration Guide
”I need vector search for AI apps”
- Create table with
VECTOR column
- Build HNSW index:
CREATE INDEX USING hnsw
- Query:
SELECT * FROM docs ORDER BY embedding <=> query_vec LIMIT 10
- Search latency: <10ms @ 100K vectors
Guides: Vector Search Guide, Vector Search Architecture
”I need serverless databases”
- Deploy:
heliosdb deploy --serverless
- Configure:
scale_to_zero_after = '5m'
- Monitor: Auto-pause when idle, 170ms resume
- Cost savings: 84% vs always-on
Guides: Serverless Guide
”I need real-time analytics”
- Create time-series table with
timeseries = true
- Create continuous aggregate (materialized view)
- Query with
time_bucket() for windowing
- Ingest: 100K-1M inserts/sec
- Query: Sub-millisecond P99
Guides: Time-Series Guide
Feature Maturity Levels
Legend:
- Production-Ready: Battle-tested, 95%+ test coverage
- ⚠ Beta: Functional, undergoing hardening
- 🚧 Alpha: Early access, experimental
All 85 features are Production-Ready as of v6.0 Phase 2 M1
Documentation Index
Last Updated: November 1, 2025
Version: v6.0 Phase 2 M1
Total Features: 85 production-ready
Maintained by: HeliosDB Product Team