Build apps on top of BigQuery

Build Admin Panels, Dashboards, and Internal Tools on top of your BigQuery data with authentication, permissions, and workflows built in.

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Give BigQuery an interface, not just a query box

Build dashboards and record views on millions of rows, and let each person see only the slice they are allowed to.

Built for BigQuery scale

Filters, search and pagination run as queries against BigQuery, so millions of rows stay responsive.

Self-serve for the business

People answer their own questions in a dashboard instead of queueing another request with the data team.

Scoped access to the warehouse

Each role sees only the datasets and columns it should, without a BigQuery seat.

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Take SQL data further with Jet

See what a raw PostgreSQL setup gives you, and what Jet adds on top of it.

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Permissions & access

Access runs through BigQuery IAM roles, so a scoped view for one team means another role and dataset permission to configure.

BigQuery keeps its own audit logs, but proving who saw which row in a business app still means stitching that together yourself.

Give each role only the datasets and columns it should see, without handing out a BigQuery seat.

Row-level permissions, SSO and a full audit log come with every app, so a security review has an answer before it asks the question.

Interface & branding

The data sits behind the BigQuery console, a tool built for analysts, not something you hand to sales, support or a client.

Ship a branded reporting app or client portal on your own domain, built straight on your BigQuery datasets.

Pricing & seats

Dashboard tools built for warehouses price by seat or by query, so opening access to a wider team shows up as a real line on the invoice.

Add viewers and external users on app pricing instead of provisioning a BigQuery seat for every person who needs a number.

Workflows & AI Agents

Every business AI agent ends up with its own one-off connection to BigQuery, so marketing, sales and support each rebuild the same plumbing and the same access risk.

Reacting to new data in BigQuery usually means a scheduled query or a script polling the table from outside, with no record of what ran or why.

Build AI agents for marketing, sales and support that query BigQuery on the same role and dataset limits your team already works under.

Trigger a workflow the moment new data lands in BigQuery, chaining approvals, notifications and follow-up actions with no scheduled query or script to maintain.

Deployment & hosting

Most dashboard tools built for warehouses run only in their own cloud, so a security review starts with where your BigQuery credentials are allowed to travel.

Keeping a fast front end in sync with BigQuery usually means exporting into another warehouse or BI extract first, so what people see is only ever as fresh as the last export.

Run Jet in your own cloud account or fully on-premise, so queries against your warehouse never route through someone else's servers.

Jet queries BigQuery directly, so dashboards and apps stay responsive as tables grow into billions of rows, with the app layer shipped in days, not a developer sprint.

Dashboards & Data Integrations

Every question means someone on the data team running a query and pasting the result into a doc, so reporting is a person rather than a page.

Add a second warehouse or tool and you are opening a second dashboard, so people switch tabs to see data that belongs on one screen.

Dashboards query BigQuery directly and stay responsive over millions of rows, so people get answers without queueing another request with the data team.

Join your BigQuery datasets with HubSpot, Stripe or Airtable in the same app, so one login and one screen cover every source you have.

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The full-stack features you need

Create a personalized, secure experience for every app user. Tailor the look and feel to align with your brand.

Create/Read/Update/Delete

All CRUD operations are generated automatically based on your database structure.

Search, Filter, Segments

Create any segments of your application data by applying a subset of filters or build an SQL query.‍‍

Manage team permissions

Manage permissions for specific users and teams without any line of code. Add users to individual dashboards and manage their access rights to specific contents directly from Jet’s interface.

Import or Export data

Import or Export data in different formats: CSV, XLS, XLSX, and JSON in a few clicks

Build Workflow

You can automate tasks like sending an email to a user when their order status changes or payment goes through. Seamlessly select triggers and link them with one or a series of actions.

Run SQL queries

Easy query your SQL database with SQL Builder allows you to analyze and calculate your data quickly and easily.

Build secure app fast

Frequently asked questions

How do I connect BigQuery to Jet Admin?

Add BigQuery as a resource, authenticate with a service account, and choose the project and datasets you want to expose. Jet reads the schema and generates the screens from your tables. You can grant a read-only service account first and add write access later once you are ready.

Is there a GUI for BigQuery?

Yes. Jet gives your team a spreadsheet-style view and dashboards over your BigQuery datasets, with search, filters and inline editing, so people who should never write SQL can still work with the data: support agents, operations, finance and external users, each seeing only what their role allows.

Can I edit my BigQuery data from Jet Admin?

Yes, if the connected service account has write permission. Forms validate types and required fields before the write, roles decide who can change what, approvals can hold the risky updates, and every change is recorded in the audit log with the person who made it. Many teams start with a read-only account and add write access once they are comfortable.

Does Jet Admin copy or migrate my BigQuery data?

No. Jet queries BigQuery directly. There is no export to schedule, no extract to reconcile and no migration to plan, so BigQuery stays the single source of truth. Filters and aggregations run as queries against the warehouse, which is why dashboards stay responsive even over billions of rows.

Is it safe to connect a production BigQuery warehouse?

Jet connects using a scoped service account rather than a shared login, and access is controlled with SSO plus row and column level permissions, so people see only the datasets and fields their role allows. If your data must not leave your network, Jet can run in your own cloud account or fully on-premise.

Can I connect several databases to one app?

Yes. BigQuery can sit alongside PostgreSQL, a REST API, HubSpot or Stripe in the same app, and a single screen can read from more than one of them at once.

What databases does Jet support?

Jet supports many databases, including MySQL, PostgreSQL, Microsoft SQL Server, Amazon Redshift, and Google BigQuery. Jet also offers integrations with popular APIs and services such as Stripe, Twilio, and Slack, making it easy to incorporate data from these sources into Jet applications. Here is a list of all our different integrations.

Who uses Jet Admin?

Diverse businesses, from startups to enterprise companies in the healthcare, finance, and e-commerce sectors. For companies that depend on internal tools, portals, and dashboards for their workflow, offering the capability to craft customized applications suited to their requirements

What is Jet Admin?

Jet Admin is a development platform that allows developers to quickly build custom business apps like internal tools, portals, dashboards for their businesses. Jet offers a drag-and-drop interface and pre-built components, making it easy to create applications while writing little code.

Build apps on top of BigQuery

Trusted by Some of the World’s Best Product Teams