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Solutions

One product, and the fourteen different questions people arrive with. Pick the one that sounds like yours.

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What the category is, what current systems can and cannot do, and how to tell two of them apart.

The category, explained

The AI Database Assistant That Runs On Your Machine

An assistant that reads your schema, writes the query, runs it read-only and shows you exactly what it did — with no rows leaving your network.

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The landscape

Database AI: An Honest Map Of What Works

Four jobs are genuinely solved, two are getting there, and one is oversold. Knowing which is which saves a quarter.

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Evaluation

Choosing A SQL AI Tool: What Actually Differentiates Them

They all demo identically — a question goes in, SQL comes out. The differences show up in week three, on your schema, and they are all architectural.

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By database

The two engines it speaks, each covered twice: the workflow, and the depth a DBA asks about.

PostgreSQL

Chat With Your PostgreSQL Database

Connect once, ask in English, and get the answer explained, charted, and backed by the query that produced it. Follow-ups keep the context, so "and only the ones from last quarter" works.

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PostgreSQL, in depth

AI For PostgreSQL That Knows What Postgres Can Do

Generic SQL generation writes ANSI SQL and stops. Postgres has thirty years of features past that, and the query you want usually needs one of them.

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MySQL

Chat With Your MySQL Database

Ask a question, get the answer described and charted, with the query behind it. It reads your real schema first, so the answer references your tables rather than plausible-sounding ones.

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MySQL, in depth

AI For MySQL That Writes SQL Your Server Accepts

Most generated MySQL fails for reasons that have nothing to do with the question: a mode, a collation, or a feature the server version does not have.

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By how you work

Writing SQL, exploring data, or living in a schema somebody else designed.

For people who already write SQL

An AI SQL Assistant That Shows Its Working

Generate the query, explain the one you inherited, and find out why the other one takes forty seconds — without leaving the schema you are working in.

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The technique

Natural Language To SQL, Done Against A Real Schema

The gap between a query that parses and a query that is right is your schema. Here is how that gap gets closed.

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The interface

AI Database Chat, Where The Second Question Is The Real One

Nobody gets the question right first time. A chat holds what has already been established, so refining an answer costs a sentence rather than a rewrite.

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For analysis

An AI Database Query Tool For The Questions Between Dashboards

Dashboards answer the questions you knew you would have. This is for the other ones — the ad-hoc, one-off, needed-in-ten-minutes kind.

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For engineering teams

A Database Copilot That Cannot Fly The Plane

The word implies a second pair of hands on the controls. This one deliberately has none — it reads, suggests and explains, and every write stays yours.

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Private by default

Local models, and the fully offline configuration that makes privacy an observation rather than a promise.

Local models

A Local AI Database Assistant, Model Included

Local retrieval over your schema and a local model to write the SQL. Nothing about your database reaches anyone else’s server.

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Air-gapped & regulated

An Offline AI Database Tool For Networks That Do Not Leave

In a regulated environment "we do not store your data" is a policy. "The process makes no outbound connections" is an observation, and only one of them survives an audit.

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Comparing SQLore against something specific? The comparison pages cover the alternatives, and features is the full capability list.

SQLore platform

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New chat

Search chats

TODAY

Orders by month

PREVIOUS 7 DAYS

Top products by revenue

PREVIOUS 30 DAYS

Repeat customer rate

Revenue by category

Average order value

Refunds by reason

Customers by city

Cart abandonment

Slowest shipping lanes

Discount impact on margin

Inventory turnover

Order statistics

SQLoredesktopretail_db · default⌘K

Order statistics for this year

Reasoning — 2 steps, 2 queries

Total orders · Delivered · In transit · Cancelled

1 row · 10 ms

Stat

15,600

Total orders

13,942

Delivered

1,412

In transit

246

Cancelled

orders by category

4 rows · 11 ms

LineDonutBar
8,4006,3004,2002,1000
ACCESSORIESPERIPHERALSFURNITUREDISPLAYS

There are 15,600 orders in retail_db for the year to date.

  • Status: 13,942 have been delivered and 1,412 are still in transit.
  • Category: most sit in Accessories (8,420), followed by Peripherals (4,180), Furniture (2,140) and Displays (860).

Revenue by payment method

Reasoning — 1 step, 1 query

Ask about your database…

Answers come from SQL run against your database.