overdrive-db 2.3.2

OverDrive-DB — Embedded document database with ACID transactions, AES-256 encryption, WAL durability and 6 storage engines. SQLite alternative for Python.

⚡ overdrive-db

Embeddable hybrid SQL+NoSQL document database for Python
Like SQLite, but for JSON. Zero config. No server. ACID transactions.

---

Install

pip install overdrive-db

Requires the native overdrive.dll (Windows) / liboverdrive.so (Linux) / liboverdrive.dylib (macOS) in the lib/{os}-{arch}/ directory. Download from GitHub Releases.

---

Quick Start

from overdrive import OverdriveDb

odb = OverdriveDb.open("myapp.odb")

# Create table
odb.create_table("users")

# Insert — returns the generated _id
id = odb.insert("users", {"name": "Alice", "age": 30})

# Get by ID
doc = odb.get("users", id)
print(doc)  # {'_id': '...', 'name': 'Alice', 'age': 30}

# SQL Query
rows = odb.query("SELECT * FROM users WHERE age > 25")

# Update
odb.update("users", id, {"age": 31})

# Delete
odb.delete("users", id)

odb.close()

Context manager:

with OverdriveDb.open("myapp.odb") as odb:
    odb.create_table("users")
    id = odb.insert("users", {"name": "Bob"})
    print(odb.get("users", id))

---

API Reference

Open / Close

odb = OverdriveDb.open(path)                         # plain open
odb = OverdriveDb.open(path, password="secret")      # encrypted
odb = OverdriveDb.open(path, engine="RAM")           # in-memory

odb.sync()   # flush to disk
odb.close()  # release handle

OverdriveDb.version()  # native library version string

Tables

odb.create_table("users")
odb.drop_table("users")
odb.list_tables()          # → ['users', 'products', ...]
odb.table_exists("users")  # → True / False

CRUD

Method	Returns	Description
odb.insert(table, doc)	str (_id)	Insert a document
odb.insert_many(table, docs)	list[str]	Insert multiple documents
odb.get(table, id)	dict | None	Get document by _id
odb.update(table, id, patch)	bool	Update document by _id
odb.delete(table, id)	bool	Delete document by _id
odb.count(table)	int	Count documents in table

Query

# SQL query — returns list of dicts
rows = odb.query("SELECT * FROM users ORDER BY age DESC LIMIT 10")

# Full-text search
results = odb.search("users", "Alice")

Transactions

from overdrive import IsolationLevel

# Callback style (auto-commit / auto-abort)
def transfer(odb):
    odb.insert("logs", {"event": "login"})

odb.transaction(transfer, IsolationLevel.SERIALIZABLE)

# Manual style
txn = odb.begin_transaction(IsolationLevel.READ_COMMITTED)
try:
    odb.insert("logs", {"event": "login"})
    odb.commit_transaction(txn)
except Exception:
    odb.abort_transaction(txn)
    raise

Isolation Levels:

Name	Value
IsolationLevel.READ_UNCOMMITTED	0
IsolationLevel.READ_COMMITTED	1 (default)
IsolationLevel.REPEATABLE_READ	2
IsolationLevel.SERIALIZABLE	3

Integrity Check

report = odb.verify_integrity()
print(report)  # {'status': 'ok', ...}

---

6 Storage Engines

odb = OverdriveDb.open("app.odb")                            # Disk (default)
odb = OverdriveDb.open("cache.odb", engine="RAM")            # in-memory
odb = OverdriveDb.open("vecs.odb", engine="Vector")          # embeddings
odb = OverdriveDb.open("ts.odb", engine="Time-Series")       # metrics/IoT
odb = OverdriveDb.open("g.odb", engine="Graph")              # social graphs
odb = OverdriveDb.open("q.odb", engine="Streaming")          # event queue

---

More SDKs

pip install overdrive-db          # Python  ← you are here
npm install overdrive-db          # Node.js
cargo add overdrive-db            # Rust
go get github.com/ALL-FOR-ONE-TECH/overdrive-db-go@v1.0.0

---

Links

• GitHub Repository
• Releases / Native Libraries
• License: MIT