integration_ARCHITECTURE

Precision AI Analytics for PostgreSQL

Bypass the manual SQL bottleneck. Arcli translates plain English into dialect-perfect PostgreSQL queries—navigating deep JSON payloads, complex arrays, and heavy aggregations instantly.

Get Started Free
14-DAY TRIAL
NO CREDIT CARD
// STRATEGIC_SCENARIO

Deep Data Retrieval

How Arcli grounds AI in your exact schema to generate highly-optimized, dialect-specific execution logic.

JSON Payload Extraction

Easily extract and aggregate values buried deep within unstructured JSON columns using native pointer syntax.

THE EXECUTIVE FILTER (ROI)

Unlocks insights hidden in unstructured telemetry without waiting for data engineering to build fragile, scheduled JSON-flattening pipelines.

  • Fully optimized for SQL constraints.
  • Bypasses semantic layer hallucinations via strict schema grounding.
SQL_COMPILE
-- Query logic parsing
// CORE_ENGINE_SPECS

Core Capabilities

The technological foundation behind the unified engine. Designed to completely bypass manual RevOps bottlenecks.

// DOCUMENTATION

Expert Insights

Everything you need to know about implementing Arcli's engine into your stack.

Does Arcli support native Postgres JSON operators?
Yes. Our semantic engine uses dialect-specific RAG to output the correct Postgres extraction operators (`->`, `->>`) based on detected JSON metadata.
How do you ensure Arcli doesn't execute destructive commands on our database?
Connections must use read-only users. Furthermore, our Orchestrator runs AST validation on all generated SQL to structurally reject `INSERT`, `UPDATE`, `DELETE`, `DROP`, or `ALTER` statements.
How do you handle massive Postgres tables with hundreds of millions of rows?
Arcli utilizes a "Push-Down Compute" architecture. The heavy `GROUP BY` and `WHERE` filtering happens on your Postgres replica. We only retrieve the aggregated result set (e.g., 50 rows) over the wire.
Can I use this to track exactly how users are clicking through a new feature?
Absolutely. If your application logs unstructured events to Postgres, just ask: "Show me the conversion funnel from clicking 'New Project' to 'Save' for yesterday."
Does Arcli understand our partitioned tables?
Yes. During metadata ingestion, the Semantic Router indexes partition keys. The generated SQL actively includes necessary date boundaries (`created_at >=`) to ensure Postgres prunes partitions efficiently.

Related Resources

Deterministic Natural Language to SQL

Read

Cost-Aware Text-to-SQL for the Data Cloud

Read

Ready to dive in?

Get started with Arcli today.

Get Started Free