Features Overview

Geode is an enterprise-ready graph database with ISO 100% GQL compliance, advanced security, and production-grade performance.

🏆 Status: Production Ready (January 2026)

  • ✅ 97.4% Test Coverage (1644/1688 tests passing)
  • ✅ 100% GQL compliance (see conformance profile)
  • ✅ 1,735 CANARY Markers tracking 2,190+ requirements
  • ✅ All Major Features Complete (Phases 1-7)

Core Capabilities

Graph Query Language (GQL)

ISO/IEC 39075:2024 compliance

  • ✅ Pattern matching with complex graph patterns
  • ✅ Variable-length paths (-[:TYPE*1..5]->)
  • ✅ Aggregations (COUNT, SUM, AVG, MIN, MAX, GROUP BY)
  • ✅ Set operations (UNION, INTERSECT, EXCEPT)
  • ✅ Subqueries and CTEs (WITH clauses)
  • ✅ Map literals and deep nesting (8+ levels)
  • ✅ EXPLAIN and PROFILE for query optimization

Learn More: GQL Guide | GQL Reference

Data Model

Property Graph with Rich Types

  • ✅ Nodes with multiple labels
  • ✅ Typed relationships with properties
  • ✅ 50+ specialized data types
  • ✅ Dynamic schema evolution
  • ✅ Constraints and validation
  • ✅ Temporal data types with timezone support
  • ✅ Network types (IPv4/IPv6, CIDR, MAC)
  • ✅ Geographic types (Point, LineString, Polygon)

Learn More: Data Model Guide | Data Types Reference

Transactions

ACID Compliance with MVCC

  • ✅ Serializable Snapshot Isolation (SSI)
  • ✅ 6 isolation levels (Read Uncommitted to Serializable)
  • ✅ Savepoints for partial rollback
  • ✅ Phantom read prevention
  • ✅ Deadlock detection and recovery
  • ✅ Multi-statement transactions
  • ✅ Optimistic concurrency control

Learn More: Transaction Tutorial | Advanced Patterns

Vector & Machine Learning

HNSW Indexing with SIMD Acceleration

  • ✅ VectorF32 and VectorI32 types
  • ✅ HNSW index (Hierarchical Navigable Small World)
  • ✅ 6 distance metrics (L1, L2, cosine, inner product, Hamming, Jaccard)
  • ✅ Up to 65,535 dimensions
  • ✅ SIMD-accelerated distance calculations
  • ✅ Approximate nearest neighbor search

Learn More: Vector Search Tutorial

Graph Embeddings

ML-Powered Graph Analysis

  • ✅ Node2Vec embeddings
  • ✅ GraphSAGE inductive learning
  • ✅ DeepWalk random walks
  • ✅ Integration with TensorFlow/PyTorch
  • ✅ Batch embedding generation

Learn More: Real-Time Analytics

Graph Algorithms

20+ Built-in Algorithms

  • ✅ PageRank (influence analysis)
  • ✅ Shortest path (Dijkstra, A*, Bellman-Ford)
  • ✅ Community detection (Louvain, label propagation)
  • ✅ Centrality measures (betweenness, closeness, degree)
  • ✅ Triangle counting and clustering coefficient
  • ✅ Connected components
  • ✅ Strongly connected components

Learn More: Graph Algorithms Guide | Algorithms Tutorial

Performance & Scalability

Storage Engine

High-Performance MVCC

  • ✅ Page-based storage (8KB pages)
  • ✅ Write-Ahead Logging (WAL)
  • ✅ Configurable page cache (1GB default)
  • ✅ Memory-mapped operations for efficient I/O
  • ✅ Compression with ZStandard

Learn More: Performance Tuning

Indexing

6 Index Types for Optimal Performance

  • ✅ B-tree index (range queries, ordering)
  • ✅ Hash index (exact matches)
  • ✅ Full-text index (BM25 ranking)
  • ✅ Vector index (HNSW for similarity search)
  • ✅ Bloom filter index (membership testing)
  • ✅ R-tree spatial index (geographic queries)

Learn More: Indexing Tutorial | Indexing Guide

Query Optimization

Cost-Based Optimizer

  • ✅ Statistics-driven query planning
  • ✅ Join optimization
  • ✅ Predicate pushdown
  • ✅ Index selection
  • ✅ EXPLAIN and PROFILE commands
  • ✅ Query plan caching

Learn More: Query Performance Tuning

Distributed Architecture

Federation for Horizontal Scaling

  • ✅ Multi-shard query distribution
  • ✅ Parallel execution
  • ✅ Result merging strategies
  • ✅ Load balancing
  • ✅ Federation-aware optimization
  • ✅ Tested up to 32 shards

Learn More: Distributed Architecture | Multi-Datacenter Guide

Enterprise Security

Authentication & Authorization

RBAC/ABAC with MFA

  • ✅ User authentication (password, certificate)
  • ✅ Role-Based Access Control (RBAC)
  • ✅ Attribute-Based Access Control (ABAC)
  • ✅ Multi-Factor Authentication (TOTP)
  • ✅ Row-Level Security (RLS) with policy evaluation
  • ✅ Fine-grained permissions
  • ✅ Password policies (complexity, expiration)

Learn More: Security Overview

Data Protection

Encryption at Rest and in Transit

  • ✅ Transparent Data Encryption (TDE) with AES-256-GCM
  • ✅ Field-Level Encryption (FLE)
  • ✅ TLS 1.3 for all network connections
  • ✅ QUIC transport with built-in encryption
  • ✅ AES-256-GCM encryption
  • ✅ Key management (env, file, Vault, AWS KMS)

Learn More: Server Configuration

Audit & Compliance

Comprehensive Audit Logging

  • ✅ Query audit logs
  • ✅ Connection event logs
  • ✅ Authentication attempt logs
  • ✅ JSON format with rotation
  • ✅ Retention policies
  • ✅ Compliance reporting

Learn More: Security Overview

Data Integrity & Recovery

Backup & Restore

S3-Compatible Cloud Backup

  • ✅ Full and incremental backups
  • ✅ S3-compatible storage (AWS, MinIO, Digital Ocean Spaces)
  • ✅ Backup encryption (AES-256-GCM)
  • ✅ Compression (ZStandard)
  • ✅ Point-in-time recovery (PITR)
  • ✅ Automated scheduling (cron, systemd)
  • ✅ WAL replay for incremental recovery

Learn More: Backup Automation Guide

Change Data Capture (CDC)

Real-Time Replication

  • ✅ Kafka integration
  • ✅ Kinesis support
  • ✅ Webhook sinks
  • ✅ File output
  • ✅ Adaptive batching for reduced latency
  • ✅ Backpressure management
  • ✅ Resume token support
  • ✅ Kafka integration

Learn More: Multi-Datacenter Guide

Constraints

Data Validation

  • ✅ Unique constraints
  • ✅ Existence constraints
  • ✅ Property type validation
  • ✅ Custom constraint expressions
  • ✅ Constraint enforcement at commit time

Learn More: Schema Design Guide

Integration & Connectivity

Network Protocols

QUIC + TLS 1.3 Only

  • ✅ QUIC transport (port 3141)
  • ✅ Built-in TLS 1.3 encryption
  • ✅ No TCP fallback (security by default)
  • ✅ Connection pooling
  • ✅ Multiplexing support
  • ✅ Low latency (<1ms local)

Learn More: Get Started

Client Libraries

Multi-Language Support

  • ✅ Go: database/sql driver, connection pooling
  • ✅ Python: Async client with aioquic
  • ✅ Rust: Tokio runtime, Quinn QUIC
  • ✅ Zig: Production-ready, vendored QUIC
  • ✅ All clients: Full transaction support, prepared statements, connection pooling

Learn More: Client Libraries

Cloud Integration

S3-Compatible Storage

  • ✅ AWS S3 backup
  • ✅ MinIO integration
  • ✅ Digital Ocean Spaces
  • ✅ Google Cloud Storage (S3-compatible API)
  • ✅ Automated backup/restore

Learn More: Backup Automation

Development Tools

CLI & REPL

Unified Command-Line Interface

  • ✅ Interactive shell with QUIC integration
  • ✅ Query execution
  • ✅ Backup/restore commands
  • ✅ Admin operations
  • ✅ Single binary (no subprocesses)

Learn More: Get Started

Testing

97.4% Test Coverage

  • ✅ 1,644/1,688 tests passing
  • ✅ Geodetestlab comprehensive test suite
  • ✅ GQL conformance profile tests (see conformance profile)
  • ✅ Cross-client test harness
  • ✅ Performance benchmarks
  • ✅ Load testing framework

Learn More: Testing Strategies

Configuration & Management

Flexible Configuration

YAML/JSON/Environment Variables

  • ✅ YAML and JSON configuration files
  • ✅ Environment variable overrides
  • ✅ Command-line flags
  • ✅ Hierarchical configuration precedence
  • ✅ Hot reload (selected settings)

Learn More: Server Configuration

Monitoring & Observability

Prometheus & Grafana Integration

  • ✅ Prometheus metrics endpoint (port 9090)
  • ✅ Query performance metrics
  • ✅ Storage metrics (pages, cache hits, WAL segments)
  • ✅ Connection metrics (active, idle, total)
  • ✅ Health check endpoints (/health, /ready, /live)
  • ✅ Structured JSON logging

Learn More: Observability

Standards Compliance

ISO/IEC 39075:2024

100% GQL compliance

  • ✅ Deterministic ordering and pagination policies
  • ✅ MATCH pattern matching with bounded expansions and OPTIONAL MATCH
  • ✅ Aggregations and set operations
  • ✅ Diagnostics aligned to the conformance profile

Learn More: GQL Reference | Conformance Profile

Apache License 2.0

Open Source

  • ✅ Permissive licensing
  • ✅ Commercial use allowed
  • ✅ Modification allowed
  • ✅ Distribution allowed
  • ✅ Patent grant included

Learn More: Contributing Guide

Feature Comparison Matrix

FeatureGeodeNeo4jJanusGraphTigerGraph
ISO GQL✅ Conformance profile (MATCH)⚠️ Partial❌ No❌ No
ACID Transactions✅ Full✅ Full⚠️ Limited⚠️ Limited
Vector Search✅ HNSW⚠️ Plugin❌ No⚠️ Limited
Federation✅ Native❌ No✅ Yes✅ Yes
QUIC Transport✅ Only❌ No❌ No❌ No
TDE✅ Native💰 Enterprise❌ No💰 Enterprise
CDC✅ Native💰 Enterprise❌ No⚠️ Limited
RLS✅ Native💰 Enterprise❌ No⚠️ Limited
LicenseApache 2.0💰 CommercialApache 2.0💰 Commercial

Legend: ✅ Full support | ⚠️ Partial/limited | ❌ Not available | 💰 Paid only

Use Cases

Primary Applications

  • Knowledge Graphs: Entity linking, semantic search, ontology management
  • Social Networks: Community detection, influence analysis, friend recommendations
  • Fraud Detection: Pattern recognition, anomaly detection, network analysis
  • Recommendations: Collaborative filtering, content-based filtering, hybrid approaches
  • Supply Chain: Route optimization, inventory tracking, network analysis

Learn More: Use Cases

Industry Solutions

  • Financial services (fraud, risk analysis)
  • E-commerce (recommendations, search)
  • Healthcare (patient networks, drug interactions)
  • Telecommunications (network topology, capacity planning)
  • Transportation & logistics (route planning, real-time tracking)

Getting Started

Quick Start (5 minutes) 

# Build from source
git clone https://github.com/codeprosorg/geode
cd geode
make build

# Start server
./zig-out/bin/geode serve --listen 0.0.0.0:3141

# Connect with shell (new terminal)
./zig-out/bin/geode shell

# Run your first query
RETURN 1 AS hello;

Learn More: Get Started Guide

Example Queries 

-- Create nodes and relationships
CREATE (alice:Person {name: 'Alice', age: 30}),
       (bob:Person {name: 'Bob', age: 25}),
       (alice)-[:KNOWS {since: 2020}]->(bob);

-- Pattern matching
MATCH (a:Person)-[:KNOWS]->(b:Person)
WHERE a.age > b.age
RETURN a.name, b.name;

-- Aggregation
MATCH (p:Person)
RETURN avg(p.age) AS average_age, count(p) AS total_people;

-- Variable-length paths
MATCH path = (a:Person)-[:KNOWS*1..3]-(b:Person)
WHERE a.name = 'Alice'
RETURN b.name, length(path) AS degrees_of_separation;

Learn More: MATCH Basics Tutorial

Architecture Characteristics

Scalability

  • Shards: Tested up to 32 shards
  • Vector dimensions: Up to 65,535
  • Horizontal scaling: Federation across multiple nodes

Index Complexity

  • B-tree/R-tree/HNSW: O(log n) lookups
  • Hash index: O(1) average case
  • Full-text: Varies by query complexity

Learn More: Performance & Scaling

Roadmap

Completed (2025)

  • ✅ All 7 development phases (Phases 2-7)
  • ✅ 100% GQL compliance
  • ✅ Vector search with HNSW
  • ✅ Enhanced RLS and security
  • ✅ Real-time analytics
  • ✅ Multi-datacenter deployment

Future Enhancements

  • GPU acceleration (Vulkan/CUDA backends)
  • Streaming graph analytics
  • Additional ML integrations
  • Advanced graph algorithms
  • Enhanced federation features

Documentation

Community

License: Apache License 2.0 Copyright: 2024-2025 CodePros Last Updated: January 2026