An AI-Powered Adaptive Database Management System
Self-optimizing β’ Cloud-Native β’ Built from Scratch
StartDB is a next-generation experimental database engine that learns from usage patterns and optimizes itself automatically. Unlike traditional databases that require manual tuning, StartDB uses AI to predict query patterns, manage indexes, and adapt to workload changes in real-time.
Think of it as a database with a built-in DBA that works 24/7.
Modern applications generate dynamic workloads with constantly changing access patterns. Traditional databases require:
- β° Manual index creation and maintenance
- π§ Human intervention for optimization
- π Periodic performance analysis
StartDB automates this entire workflow through intelligent pattern recognition and predictive optimization.
- Custom Storage Engine: Built-from-scratch persistence layer with disk and in-memory support
- ACID Transactions: Write-Ahead Logging (WAL) ensures data durability and crash recovery
- Concurrent Operations: Goroutine-based architecture for high-throughput parallel queries
- Flexible Indexing: B-Tree and hash-based indexes with dynamic creation/deletion
- SQL-Like Query Language: Familiar syntax with custom parser implementation
- Query Pattern Analysis: Machine learning models identify frequent and slow queries
- Predictive Indexing: Automatically recommends and creates indexes based on access patterns
- Adaptive Caching: Dynamic cache policies that evolve with workload changes
- Performance Prediction: Forecasts query execution time and resource usage
- Schema Recommendations: Suggests data model optimizations based on usage
- Containerized Architecture: Docker-first design for consistent deployment
- Orchestration Ready: Kubernetes manifests for auto-scaling and high availability
- Observability: Built-in metrics export for Prometheus/Grafana monitoring
- Distributed Ready: Foundation for multi-node clusters (future phase)
- Hybrid Memory Architecture: Combines RAM speed with SSD persistence for optimal performance
- Automatic Sharding: Intelligent data distribution across nodes for load balancing
- Multi-Tiered Storage: Flexible storage options (in-memory, hybrid-flash, all-flash)
- Smart Client: Automatic cluster awareness and traffic distribution
- Real-time Notifications: Event streaming for data changes and system events
- In-memory key-value store
- Basic CRUD operations
- CLI interface
- Disk-based storage
- Write-Ahead Logging
- Crash recovery
- Concurrent transactions
- SQL parser
- B-Tree indexing
- Query planner
- Join operations (INNER, LEFT, RIGHT JOIN)
- Query log analyzer
- Pattern recognition
- Index recommender
- Predictive caching
- Kubernetes deployment
- Horizontal scaling
- Distributed transactions
- Multi-region support
- Hybrid Memory Architecture: RAM + SSD optimization for speed and storage efficiency
- Automatic Sharding: Smart data distribution across nodes with load balancing
- Multi-Tiered Storage: In-memory, hybrid-flash, and all-flash storage options
- Smart Client: Automatic traffic distribution and cluster awareness
- Dynamic Cluster Management: Auto-rebalancing and node management
- Change Notifications: Real-time event streaming for data changes
- Lossless Compression: Efficient storage with compression algorithms
- Go 1.21 or higher
git clone https://github.com/Bhup-GitHUB/startdb.git
cd startdbgo build -o bin/startdb ./cmd/startdb
./bin/startdbMemory Storage (Default):
startdb set user:1 "John Doe"
startdb get user:1
startdb listDisk Storage (Persistent):
startdb --storage=disk set user:1 "John Doe"
startdb --storage=disk get user:1
startdb --storage=disk listCustom Data File:
startdb --storage=disk --data=my_database.json set key:1 "Custom file"
startdb --storage=disk --data=my_database.json get key:1With Write-Ahead Logging (WAL):
# Enable WAL for crash recovery
startdb --storage=disk --wal --data=my_database.json set user:1 "John Doe"
startdb --storage=disk --wal --data=my_database.json get user:1
# Create a checkpoint to truncate WAL
startdb --storage=disk --wal --data=my_database.json checkpoint
# Recover from crash by replaying WAL
startdb --storage=disk --wal --data=my_database.json recoverWith Transactions:
# Begin a transaction
startdb --storage=disk begin
# Perform operations within the transaction
startdb --storage=disk set user:1 "John Doe"
startdb --storage=disk set user:2 "Jane Smith"
startdb --storage=disk delete user:3
# Check transaction status
startdb --storage=disk status
# Commit the transaction (makes changes permanent)
startdb --storage=disk commit
# Or rollback the transaction (discard changes)
startdb --storage=disk rollbackWith SQL Queries:
# Create a table
startdb --storage=disk sql "CREATE TABLE users (id INTEGER, name TEXT, email TEXT)"
# Insert data
startdb --storage=disk sql "INSERT INTO users VALUES (1, 'John Doe', '[email protected]')"
startdb --storage=disk sql "INSERT INTO users VALUES (2, 'Jane Smith', '[email protected]')"
# Query data
startdb --storage=disk sql "SELECT * FROM users"
startdb --storage=disk sql "SELECT * FROM users WHERE id = 1"
# Update data
startdb --storage=disk sql "UPDATE users SET name = 'John Updated' WHERE id = 1"
# Delete data
startdb --storage=disk sql "DELETE FROM users WHERE id = 2"set <key> <value>- Store a key-value pairget <key>- Retrieve a value by keydelete <key>- Remove a key-value pairexists <key>- Check if a key existslist- List all keys in the databasecheckpoint- Create a checkpoint (truncate WAL)recover- Recover from crash (replay WAL)begin- Begin a new transactioncommit- Commit the current transactionrollback- Rollback the current transactionstatus- Show transaction statussql <query>- Execute a SQL queryversion- Show version information
--storage=memory- In-memory storage (default, temporary)--storage=disk- Disk storage (persistent)--data=filename.json- Custom data file path--wal- Enable Write-Ahead Logging for crash recovery--wal-file=filename.wal- Custom WAL file path
The easiest way to test StartDB is using the interactive shell:
# Start the interactive shell
startdb shell
# Test basic operations
startdb> set user:1 "John Doe"
startdb> get user:1
startdb> list
# Test transactions
startdb> begin
startdb> set user:2 "Jane Smith"
startdb> status
startdb> commit
# Test SQL queries
startdb> sql CREATE TABLE users (id INTEGER, name TEXT)
startdb> sql INSERT INTO users VALUES (1, 'John')
startdb> sql SELECT * FROM users
startdb> quitTest individual commands:
# Test basic operations
startdb set key1 "value1"
startdb get key1
startdb list
# Test with disk storage
startdb --storage=disk set user:1 "John Doe"
startdb --storage=disk get user:1
# Test with WAL
startdb --storage=disk --wal set user:1 "John Doe"
startdb --storage=disk --wal checkpoint
# Test transactions
startdb begin
startdb set user:1 "John Doe"
startdb commit
# Test SQL
startdb sql "CREATE TABLE users (id INTEGER, name TEXT)"
startdb sql "INSERT INTO users VALUES (1, 'John')"
startdb sql "SELECT * FROM users"Create test scripts:
# Create a test script
cat > test_script.txt << EOF
set user:1 "John Doe"
set user:2 "Jane Smith"
list
begin
set user:3 "Bob Johnson"
status
commit
sql CREATE TABLE products (id INTEGER, name TEXT)
sql INSERT INTO products VALUES (1, 'Laptop')
sql SELECT * FROM products
quit
EOF
# Run the test script
Get-Content test_script.txt | startdb shellTest with larger datasets:
# Create a performance test
for i in {1..1000}; do
startdb --storage=disk set "key:$i" "value:$i"
done
# Test concurrent operations
startdb --storage=disk begin
startdb --storage=disk set concurrent:1 "test"
startdb --storage=disk commit- Usage Guide - Complete guide on how to use StartDB
- Quick Reference - Quick command reference
- Architecture - Technical architecture and design decisions
Contributions are welcome! This is a learning project, so:
- π Bug reports and fixes
- π‘ Feature suggestions
- π Documentation improvements
- π§ͺ Test coverage
MIT License Β© 2025 Bhupesh Kumar F
Bhupesh Kumar
Backend Developer | Cloud Enthusiast | Systems Programmer
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Made with Go, TypeScript, and countless cups of coffee β
