Engines overview
35 engines under one consistent UI. SQL family in Free; NoSQL / cloud / vector in Pro.
Free tier — 7 engines + 13 wire-compat presets
Section titled “Free tier — 7 engines + 13 wire-compat presets”The full SQL family + every engine that speaks a wire-compat dialect:
| Engine | Wire-compat presets |
|---|---|
| PostgreSQL | Cockroach · Yugabyte · Neon · Supabase · Timescale · Redshift · Aurora-PG · Greenplum · Citus |
| MySQL / MariaDB | TiDB · PlanetScale · Aurora-MySQL · Vitess |
| SQLite | — |
| SQL Server | Azure SQL |
| DuckDB · ClickHouse · Cassandra | ScyllaDB (via Cassandra) |
For wire-compat presets, the connection dropdown picks the upstream
engine + the preset slot tunes a few catalog queries (SHOW COLUMNS vs INFORMATION_SCHEMA, partitioning syntax, etc.). Same
underlying driver, dialect-aware UI.
Pro — 15 NoSQL · cloud · vector engines
Section titled “Pro — 15 NoSQL · cloud · vector engines”Everything in Free, plus:
| Family | Engines |
|---|---|
| Document | MongoDB |
| Key-value | Redis · Memcached |
| Column-family | Cassandra · ScyllaDB |
| Cloud warehouses | Snowflake · BigQuery · Databricks |
| Search | Elasticsearch |
| Time-series | InfluxDB |
| Graph | Neo4j |
| Document (cloud) | DynamoDB · Firestore |
| Vector | Qdrant · Weaviate · Pinecone |
Each NoSQL / cloud engine has a native idiom — the chrome stays consistent (edit-as-draft, prod-tag confirmations, backup grammar) but the engine-shaped operations work the way that engine works:
- Mongo: collection browser, BSON editor, aggregation pipeline builder, change stream tail
- Redis: key tree, type-aware editors, pub/sub tail, JSONL dump
- Cassandra: keyspace browser, ALLOW FILTERING warnings, prepared statement helper
- BigQuery: dry-run cost estimator
- Snowflake: warehouse suspend/resume controls
- Vector DBs: similarity search panel (paste vector, set k, see top-k with scores)
- Neo4j: Cypher editor + plan visualiser
Connection field reference
Section titled “Connection field reference”Every engine takes:
- Dialect (the engine type)
- Name (your label)
- Tag —
dev/staging/prod/ free-form.prodtriggers the typed-name confirmation rules (Confirmation rules)
Then engine-specific fields. Most SQL engines need host / port / user / password / database / SSL mode. Cloud engines need account identifiers + service-account credentials. Vector DBs need an API key + collection. Each engine page below covers its specifics.
Engine deep links
Section titled “Engine deep links”- PostgreSQL · MySQL/MariaDB · SQLite · SQL Server
- DuckDB · ClickHouse · Cassandra
- MongoDB · Redis
- Snowflake · BigQuery · Databricks
- Vector — Qdrant · Weaviate · Pinecone
The engines covered as “rest of the SQL family” or “rest of the NoSQL/cloud” don’t have dedicated pages yet — their depth matches the closest neighbour engine; the feedback channel catches anything missing.