Data Explorer

Query your data
in plain English.

Ask a question the way you'd say it out loud — rsync.ai resolves the right tables, writes the SQL, and returns the rows. See and edit every query, browse the schema, and export to CSV or JSON, in the same product that moved the data.

TL;DR

The rsync.ai Data Explorer is a built-in SQL workbench with natural-language-to-SQL: describe what you want to know in plain English, and it grounds the question in your real schema, generates editable SQL, runs it, and returns exportable rows. It lives in the same product that built your pipeline, so you can query a dataset the moment it syncs — no separate BI tool, no reverse-ETL.

Natural-language-to-SQL grounded in your real schema
Schema browser: database → table → column
Autocomplete with alias tracking & join hints
Export every result to CSV or JSON

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Question in, rows out

Plain English goes in; grounded SQL and exportable results come out — with every step visible.

Ask in plain English

Type a question like "Which issues have been open the longest?" — no need to know the table names or the schema up front. Schema-aware example prompts suggest questions your data can actually answer.

It finds the right tables

rsync.ai resolves your question against your schema, picking the relevant tables and columns before it writes a line of SQL — so the query targets the data you actually have.

See the SQL it writes

The generated SQL appears in an editor you can read and edit, with autocomplete that tracks aliases, qualifies tables after FROM/JOIN, and suggests foreign-key joins. Nothing runs behind your back.

Get rows, export anywhere

Results come back as a table you can scan, then export to CSV or JSON — queried in the same product that moved the data, so there's no round trip through a separate BI tool.

Built for people who ask questions faster than they write SQL

The plain-English starting point gets you moving; the SQL and schema tools keep you in control.

Natural language to SQL

Ask a question in plain English and get correct SQL back. rsync.ai maps your intent to the right tables and columns, so you don't have to memorize the schema to explore it.

Schema browser

An expandable tree walks every database → table → column, so you can see exactly what's there. Click a table to drop it straight into your query.

Smart SQL autocomplete

The editor tracks table aliases, schema-qualifies tables after FROM and JOIN, and surfaces foreign-key join hints — the difference between fighting SQL and flying through it.

Export CSV or JSON

Every result set exports to CSV or JSON in a click — hand it to a notebook, a spreadsheet, or a teammate without another pipeline.

The query surface and the pipeline are the same product

A standalone text-to-SQL tool assumes the data already landed somewhere — you still needed a pipeline, a warehouse, and an export step to get there. rsync.ai builds the pipeline and gives you the Data Explorer over the result, sharing one schema and one product. The moment a sync completes, you can ask it a question. That's the whole loop: generate the connector, move the data, and query it in plain English — without leaving the app.

Data Explorer — frequently asked

What is the rsync.ai Data Explorer?

It's a built-in SQL workbench with natural-language-to-SQL. You ask a question in plain English; rsync.ai resolves it against your schema, writes the SQL, runs it, and returns the rows. You can read and edit every query, browse the full schema in a tree, and export results to CSV or JSON. It runs in the same product that moved your data, so you explore what you just synced without a separate BI tool.

How does natural-language-to-SQL work?

When you ask a question, rsync.ai first resolves which tables and columns are relevant from your actual schema, then generates SQL against them and shows you the query before returning results. Because it grounds the query in your real schema rather than guessing, the SQL targets tables you actually have — and you can always edit it by hand.

Do I have to trust the AI's SQL blindly?

No. The generated SQL is always shown in an editable editor — you see exactly what will run, and you can change it. The Explorer is built for reading and analyzing data you've synced; pair the plain-English starting point with the visible SQL and schema browser and you stay in control of every query.

What can I query with the Data Explorer?

The destinations rsync.ai syncs into — for example a PostgreSQL or MySQL database you've been moving data to. The schema browser shows every database, table, and column available, and the autocomplete understands the relationships between them, so exploring a freshly-synced dataset takes seconds rather than a JIRA ticket to the data team.

How is this different from a standalone text-to-SQL tool?

Most text-to-SQL tools are a layer you bolt onto a warehouse you already loaded with some other pipeline. rsync.ai's Data Explorer lives in the same product that built the pipeline and moved the data — so the moment a sync lands, you can ask questions of it, with no export step and no second vendor. The pipeline and the query surface share one schema and one product.

Can I run the Data Explorer on my own infrastructure?

The Data Explorer is part of rsync.ai, which is live as a managed cloud today at app.rsync.ai. Self-hosting the full stack — including the Explorer — inside your own VPC is coming soon, source-available under the Elastic License 2.0, with Ollama supported for fully local LLM inference so your queries and schema never leave your network.

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