Your Database Pongo
Wrangtan
A modern database client for developers.
AI-Powered. 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
In Alpha
MySQL
In Alpha
SQLite
In Development
MongoDB
In Development
Redis
In Development
Oracle
In Development
SQL Server
In Development
MariaDB
In Development
Clickhouse
In Development
Snowflake
In Development
DynamoDB
In Development
BigQuery
In Development
Elasticsearch
In Development
Cassandra
In Development
Databricks
In Development
IBM Db2
In Development
Azure SQL
In Development
MS Access
In Development
Neo4j
In Development
ScyllaDB
In Development
Vector Databases
pgvector
In Alpha
Pinecone
In Development
Milvus
In Development
Weaviate
In Development
Qdrant
In Development
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 vector = [0.1, 0.2, 0.3, 0.4]; // must match your collection dim
const result = await client.search({
collection_name: "my_collection",
anns_field: "embedding",
vector,
limit: 3,
});
// Enrich with relational data
const ids = result.results.map(r => r.id);
const postgres = client.postgres("postgres://user:pass@host:port/db");
const products = await postgres.query(
"SELECT * FROM products WHERE id = ANY($1)",
[ids]
);
// Render results based on vector search.
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.