Revenue
48,250 PLN+12.8% vs previous period LESS SWITCHING. MORE INSIGHT.
Your data.
The full picture.
Bring databases, APIs and spreadsheets together.
Transform your data and build dashboards that tell the story.
SQL, APIs and Excel Your infrastructure
INTERACTIVE PREVIEWSample data · no database connection
NamiGrid / Demo workspaceSales overview DEMO
See how your results fit together.
Orders
326+8.7% vs previous periodAverage order value
148 PLN+3.8% vs previous periodRevenue over time
RevenueSales channels
3channels
- Online store64%
- Marketplace24%
- B2B12%
Different sources. One view.
Sample connections behind the sales dashboard.
Orders
PostgreSQL · sales database
Sales channels
JSON API · store integration
Sales plan
Excel · monthly-plan.xlsx
Bring your data into context.
Combine database results with your Excel plan and API data. Saved extracts and views feed a shared dashboard.
This is an example configuration. The preview does not open any external connections.
From query to answer.
SQL prepares the data. Your dashboard brings it into focus.
daily-sales.sqlExample · PostgreSQL
SELECT
created_at::date AS day,
COUNT(*) AS order_count,
SUM(total) AS revenue
FROM orders
WHERE status = 'completed'
GROUP BY created_at::date
ORDER BY day; Sample result3 rows
| day | order_count | revenue |
|---|---|---|
| 2026-09-14 | 28 | 4,200.00 |
| 2026-09-15 | 41 | 6,100.00 |
| 2026-09-16 | 35 | 5,200.00 |
You already have the data. NamiGrid brings it together.
- P PostgreSQL
- SQL Server
- my MySQL / MariaDB
- O Oracle
- Excel
- { } JSON API
ONE WORKSPACE. THE WHOLE WORKFLOW.
From raw data
to clear insights.
Connections, queries, transformations and visualizations.
Bring each step from source to decision into one workspace.
Connect your sources
Keep SQL databases, API responses and Excel files in one workspace. Explore database schemas and select the data you need.
DIFFERENT FORMATS. SHARED CONTEXT.SQL when you want it.
Lua when you need it.
Write and save SQL queries. Use Lua to clean, combine and transform data with your own rules.
Your dashboard. Your perspective.
Arrange charts, tables and metrics in the visual editor. Use filters and interactions to move from the overview to the details.
Refresh on your schedule
Schedule data updates. Track the queue, run history and errors without repeating the same tasks by hand.
Keep track of change
Work with saved extracts and cached results. Use snapshots and historical summaries to explore how your data changes over time.
Understand the connections
Explore database schemas and table relationships. Trace dashboard dependencies to see where results come from and what drives changes.
Share the finished view
Publish selected charts and dashboards. Organize projects in workspaces and folders, and transfer finished solutions as packages.
FROM ANALYSIS TO A SHARED PICTURE.AI AND EXTENSIONS
From idea to dashboard.
On your terms.
Build your first view with an AI agent. Take it further
with your own visualizations, integrations and interactions.
AI AGENT
Describe the goal.
Let your agent build it.
The AI agent can create a complete dashboard, from queries and data transformations to charts and layout. Describe what you want to analyze, then refine the result through conversation.
- SQL queries and data preparation
- Charts, metrics and dashboard layout
- Iterations informed by the whole project
EXAMPLE REQUEST“Build a sales dashboard with revenue trends, a breakdown by channel and a comparison against the plan.”
You control which data the agent can access and whether it can save changes.
CUSTOM PLUGINS
Your workflow.
Your way to visualize it.
Go beyond standard charts. Create plugins with custom visualizations, interactive components and integrations. Build a dashboard whose appearance and behavior fit the way you work.
- Custom component design and behavior
- Business logic and service integrations
- Extensions packaged with your dashboard
Custom widget
Process view
API integration
Build an extension once and reuse it across your dashboards.
A SIMPLE IDEA. ROOM TO GROW.
Your data has a journey.
See every step.
Build your workflow once, then evolve it as new questions emerge.
- 01
Connect
Choose a database, API endpoint or Excel spreadsheet. Select the data you want to work with.
SQL · API · Excel - 02
Prepare
Save an extract or cache. Combine sources in a view and add the transformations you need.
Extract · Cache · Lua - 03
Visualize
Choose your visualizations, arrange a dashboard and share results in a clear format.
Charts · Tables · KPIs
CLOSE TO YOUR DATA
Your workspace.
Your infrastructure.
NamiGrid showcases Live Data, developed by TsunamiStudio. Run the application locally or on your own server and work with it in your browser.
- A built-in database for local data
- Separate workspaces for your projects
- Plugins for extensions and custom integrations
GOOD TO KNOW
Before you connect
your first source.
A few answers to get you started.
What is NamiGrid?
NamiGrid is the new brand for Live Data, developed by TsunamiStudio. It brings data sources, SQL queries, Lua transformations and interactive dashboards together in one browser application.
Which data sources can I connect?
SQL Server, PostgreSQL, MySQL, MariaDB and Oracle, plus JSON APIs and Excel files in XLSX and XLSM formats. There is also a built-in database for local storage. Available access depends on the configuration and account permissions in each source.
Do I need to write code?
You can create visualizations and dashboard layouts in the visual editor or with the AI agent. SQL, Lua and custom plugins give you more control when you need specific transformations, integrations or interactions.
Can the AI agent build an entire dashboard?
Yes. Using your description and the sources you make available, the agent can create queries, transformations, charts and dashboard configurations. It can also refine an existing project through follow-up messages. Data access and saving changes require the corresponding permissions to be enabled in the AI panel.
How much can I customize a dashboard?
Plugins let you add custom visualizations, interface behavior, business logic and connections to external services. You can build a view for a specific workflow using NamiGrid data and dashboards. Extensions can be reused and included in dashboard packages.
Does the dashboard query the database every time?
Visualizations use an extract, cache or view layer. Source configuration, schedules and refresh settings determine when new data is fetched. You can also keep historical snapshots.
Can I run the application on my own server?
Yes. Live Data runs as a server with a browser interface, either locally or on your own infrastructure. Deployment requires source configuration and the appropriate edition and license.
Does this preview show real data?
No. This is an interactive illustration using prepared sample data, rather than a running application instance. You can change the period and switch views without signing in or connecting a database.
GET YOUR DATA IN SYNC
Many sources.
One perspective.
See what your next dashboard could look like.
Explore NamiGrid