Your Database Pongo
Wrangtan
A modern database client for developers.
GPU-rendered. Built with Rust. Blazingly fast.
Named after the orangutan — agile, smart, and fast. GPU-accelerated, AI-powered, and built with Rust. Connect to 19+ databases and vector stores, automate with JavaScript — all in one blazingly fast native app.
Everything you need
Powerful features designed for the modern developer workflow.
GPU-Accelerated
Buttery smooth UI rendered entirely on the GPU. No Electron, no web views — just raw performance.
Built with Rust
Memory-safe, blazingly fast, and reliable. Native performance without the overhead of garbage collection.
19+ Databases
Connect to PostgreSQL, MySQL, MongoDB, Redis, Snowflake, DynamoDB, and many more — all from one app.
AI-Powered Queries
Write queries in natural language. Powered by OpenAI, Gemini, Anthropic, or xAI — bring your own API key.
JavaScript Scripting
Automate workflows with built-in JavaScript scripting. Transform data, run migrations, and build pipelines.
Vector DB Support
Fetch indexes from Pinecone, Milvus, Weaviate, Qdrant, or pgvector and connect results directly into your relational database.
See it in action
A beautiful, native experience that feels right at home on every platform.
Query Editor
Write and execute queries with syntax highlighting, autocomplete, and inline results.
Table View
Browse, filter, sort, and edit your data in a spreadsheet-like interface.
AI Assistant
Ask questions in natural language and get instant SQL queries generated for your schema.
Connect to any database
19+ databases and 5 vector stores. One unified interface.
PostgreSQL
Driver & ODBC
MySQL
Driver & ODBC
SQLite
Driver & ODBC
MongoDB
Driver
Redis
Driver
Oracle
ODBC
SQL Server
Driver & ODBC
MariaDB
Driver & ODBC
Clickhouse
Driver
Snowflake
ODBC
DynamoDB
Driver
BigQuery
ODBC
Elasticsearch
HTTP
Cassandra
Driver
Databricks
ODBC
IBM Db2
ODBC
Azure SQL
Driver & ODBC
MS Access
ODBC
Neo4j
Driver
Vector Databases
Query with AI
Describe what you need in plain English. Wrangtan generates the perfect query for your database — powered by the LLM provider of your choice.
FROM users u
JOIN purchases p ON u.id = p.user_id
WHERE u.created_at >= date_trunc('month', now())
GROUP BY u.id, u.name, u.email
HAVING COUNT(p.id) >= 3;
Bring your own API key from any supported provider
OpenAI
GPT-4o, GPT-4, o1
Google Gemini
Gemini 2.0, 1.5 Pro
Anthropic
Claude Opus, Sonnet
xAI
Grok
Script with JavaScript
Fetch indexes from a vector database, enrich with relational data, and write the results back — all with the built-in JavaScript engine. Bridge the gap between your AI/ML pipelines and your production database.
- Vector-to-relational data pipelines
- Cross-database queries & joins
- Data transformations & migrations
- Scheduled tasks & automation
// Fetch similar items from vector index
const matches = await pinecone.query({
vector: embedding, topK: 10
});
// Enrich with relational data
const ids = matches.map(m => m.id);
const products = await postgres.query(
"SELECT * FROM products WHERE id = ANY($1)",
[ids]
);
// Write results back to your database
await postgres.insert("recommendations", products);
console.log(`Synced ${products.length} results`);Ready to wrangle your data?
Join the waitlist and be the first to experience the fastest, most beautiful database client ever built.
Free during alpha. Coming soon to macOS, Windows, and Linux.