Relational Data Over HTTP

The power of SQL relational databases. Delivered cleanly via JSON APIs.

Stop forcing structured data into rigid NoSQL document models just to avoid database maintenance infrastructure. SQLRail manages, shards, and scales the underlying relational clusters completely, serving your frontend apps through lightning-fast, secured JSON translation pathways.

No database provisioning or cluster sizing required

Automated schema translation with SQL safety constraints

Native connection scaling built for high-concurrency client environments

Start Free Sandbox Read API Reference

api_request_workbench.sh

// 1. Frontend applications emit an explicit structured JSON target payload

curl -X POST https://api.sqlrail.com/v1/query \
  -H "Authorization: Bearer sql_rail_pk_test" \
  -H "Content-Type: application/json" \
  -d '{
    "action": "select",
    "from": "users",
    "where": {
      "status": "active",
      "joined_at": { "$gte": "2026-01-01" }
    },
    "orderBy": { "joined_at": "desc" },
    "limit": 2
  }'

// 2. The SQLRail Engine parses, sanitizes parameterized bounds, and executes natively

-- Parameterized Internal Execution Path (No Raw String Injection Vectors Allowed)
PREPARE run_query(text, timestamp) AS
  SELECT id, name, email, status, joined_at
  FROM users
  WHERE status = $1 AND joined_at >= $2
  ORDER BY joined_at DESC
  LIMIT 2;

EXECUTE run_query('active', '2026-01-01 00:00:00');

HTTP 200 OK Response Payload Pipeline Time: 1.8ms

{
  "status": "success",
  "data": [
    { "id": 1042, "name": "Alex Rivera", "status": "active", "joined_at": "2026-03-12" },
    { "id": 1039, "name": "Sarah Chen", "status": "active", "joined_at": "2026-02-28" }
  ]
}

Want to test custom schemas or raw parameter filters? Open Web Workbench Dashboard