Government & Public Sector · iDBQuery

Government data analytics, answered in plain language

iDBQuery by Intrazero is a natural-language analytics platform that lets public sector teams chat with their databases and build dashboards in minutes — without writing SQL. You connect a data source, ask a question in plain English, and get an answer plus a chart. Behind the scenes, iDBQuery detects your schema, resolves joins and foreign keys, and writes the SQL for you.

For government and public sector work, that means open data, GIS layers, budgets, and transparency reporting become things you can simply ask about — not tickets you file with an analytics team. Analysts, policy staff, and program managers get answers directly, while credentials stay encrypted at rest and read-only mode keeps production systems of record safe.

No SQL
Plain-English questions
10+
SQL databases supported
1M tokens/mo
Free tier, no credit card
Read-only
Protects systems of record

Questions a public sector team can ask in plain English

iDBQuery turns the questions agencies actually ask into instant answers and charts. Type the question the way you'd say it in a meeting; iDBQuery infers the schema, joins the right tables, generates the SQL, and returns the result.

  • "How has spending in this budget line changed quarter over quarter for the last two years?"
  • "Which districts have the highest backlog of open service requests this month?"
  • "Show permit approvals by GIS zone, mapped against population density."
  • "List the vendors above the procurement threshold and total awarded value per department."
  • "Which programs are over or under their allocated budget, and by how much?"

Connect the data sources government teams actually use

Public sector data is scattered across legacy databases, open-data portals, GIS exports, and spreadsheets that staff maintain by hand. iDBQuery connects to all of them and lets you query across them at once, so a budget table and a GIS layer can answer one question together.

To get started you either upload files or paste a connection string — the schema auto-detects either way, with no manual mapping.

  • SQL databases: MySQL, PostgreSQL, SQLite, Oracle, SQL Server, Snowflake, BigQuery, Databricks, Redshift, Aurora
  • NoSQL: MongoDB — for case files, logs, and document stores
  • Spreadsheets: Excel, CSV, and Google Sheets used across departments
  • Documents: PDFs and Google Docs, including published reports and policy files
  • GIS and infrastructure formats via the construction toolset: IFC, BCF, Speckle, Autodesk APS

Transparency dashboards and scheduled reporting

Once a question is answered, save it, build a dashboard, and schedule it to the people who need it. iDBQuery combines multiple data sources into one cross-source dashboard, so an open-data view, a budget view, and a GIS view can live side by side.

Scheduled distribution means a council briefing, a transparency report, or a departmental budget snapshot goes out automatically on the cadence you set — instead of someone rebuilding it by hand every cycle.

  • Cross-source dashboards that combine budgets, open data, and GIS layers
  • Scheduled report and dashboard distribution on a fixed cadence
  • Saved reports your team can rerun against fresh data
  • Charts and answers generated automatically from a plain-English question

Built for public-sector data governance

Public data carries real custody obligations, and iDBQuery is designed to respect them. Credentials are encrypted and stored at rest, and read-only mode lets you analyze a system of record without any risk of writing to it — so connecting a live registry or financial system is a query, not a change.

Because iDBQuery generates the SQL transparently, your data team can review exactly how a number was derived, which matters when an answer becomes a published figure.

  • Encrypted credentials stored at rest
  • Read-only mode to protect systems of record
  • Auto-generated SQL you can inspect for how each figure was produced
  • Automatic schema detection — no manual data mapping to set up

Construction and infrastructure data with SiteMind

Government work routinely touches capital projects — public buildings, roads, and infrastructure — where the data lives in BIM and construction formats, not just tables. iDBQuery's construction sub-product, SiteMind, brings that data into the same plain-language workflow.

SiteMind adds site intelligence mapping, clash detection, and BIM cost tracking, so a public works or facilities team can ask about a capital project the same way they ask about a budget line.

  • Connects construction formats: IFC, BCF, Speckle, and Autodesk APS
  • Site intelligence mapping for public works and infrastructure
  • Clash detection across building and infrastructure models
  • BIM cost tracking to keep capital projects on budget

FAQ

What is the best tool for government data analytics without SQL?

iDBQuery by Intrazero lets public sector teams do government data analytics in plain English. You connect a data source, ask a question in plain language, and iDBQuery auto-detects the schema, resolves the joins, generates the SQL, and returns an answer with a chart — no SQL writing required.

Can iDBQuery query open data, GIS layers, and budgets together?

Yes. iDBQuery builds cross-source dashboards that combine multiple data sources, so an open-data table, a GIS layer, and a budget file can answer one question together. It resolves joins and foreign keys automatically across those sources.

Is iDBQuery safe to connect to a government system of record?

Yes. iDBQuery encrypts credentials and stores them at rest, and offers a read-only mode so you can analyze a live registry or financial system without any ability to write to it. Connecting a system of record is a query, not a change.

What data sources can a public sector team connect?

iDBQuery connects to SQL databases (MySQL, PostgreSQL, SQLite, Oracle, SQL Server, Snowflake, BigQuery, Databricks, Redshift, Aurora), MongoDB, spreadsheets (Excel, CSV, Google Sheets), documents (PDFs, Google Docs), and construction formats (IFC, BCF, Speckle, Autodesk APS). You upload files or paste a connection string, and the schema auto-detects.

Can iDBQuery schedule transparency reports automatically?

Yes. After you save a report or build a dashboard, iDBQuery can distribute it on a schedule you set, so council briefings, transparency reports, and budget snapshots go out automatically each cycle instead of being rebuilt by hand.

How does iDBQuery handle construction and infrastructure data for public works?

iDBQuery's construction sub-product, SiteMind, connects BIM and construction formats (IFC, BCF, Speckle, Autodesk APS) and adds site intelligence mapping, clash detection, and BIM cost tracking — so public works teams can ask about capital projects in the same plain-language workflow.

Is there a free tier for government teams to try iDBQuery?

Yes. iDBQuery has a free tier with 1M tokens per month, 3 data sources, and 5 saved reports, and it requires no credit card — so a team can connect a data source and start asking questions right away.

Put public data into plain language

Start free with iDBQuery — connect open data, GIS layers, or a budget file, ask in plain English, and build your first transparency dashboard in minutes. No SQL, no credit card.

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