Timescale integrationBuild Timescale dashboards for time-series metrics, sensors, events, and operations
Connect TimescaleDB to Chartbrew and turn hypertables, SQL queries, time-series measurements, devices, events, operational metrics, and product telemetry into live dashboards.
What You Can Track
Timescale metrics for time-series and operational reporting
Use Chartbrew to visualize TimescaleDB measurements, event streams, device data, infrastructure metrics, and business time series.
Time-series trends
Chart measurements, events, readings, and counters over minute, hourly, daily, or monthly buckets.
Device and sensor data
Report on devices, meters, sensors, locations, and telemetry dimensions.
Operational health
Track latency, errors, throughput, uptime, job runs, and service metrics.
Customer usage
Visualize product usage, account activity, and usage-based metrics over time.
Anomaly tables
List outliers, failed readings, missing data, and records that need review.
Filtered dashboards
Reuse dashboards by customer, device, site, region, service, or reporting period.
How It Works
From Timescale connection to live dashboard
The Timescale workflow is built around a source connection, reusable datasets, scheduled refreshes, and shareable dashboards.
Connect TimescaleDB
Add your TimescaleDB host, database, user, password, port, and SSL settings in Chartbrew.
Inspect tables and fields
Use your schema, tables, columns, and joins to decide which reporting datasets should power the dashboard.
Build reusable datasets
Write queries for KPIs, trends, breakdowns, and tables that can be reused across dashboards and clients.
Share live reporting
Publish dashboards, embed charts, and send scheduled snapshots to keep stakeholders aligned.
Why Chartbrew for Timescale
A dashboard layer for TimescaleDB time-series data
Chartbrew adds reusable SQL datasets, AI-assisted query ideas, scheduled refreshes, snapshots, and embeds to TimescaleDB reporting.
Native TimescaleDB connection
Use Chartbrew as a reporting layer on top of TimescaleDB without exporting tables into a separate spreadsheet workflow.
Schema-aware reporting
Build datasets from tables, fields, joins, and query results so charts stay grounded in the structure of your data.
AI-assisted queries
Use Chartbrew AI to draft dataset ideas and query starting points when you want to move faster from schema to chart.
Scheduled refreshes
Keep dashboards up to date with automatic refresh schedules for daily, weekly, monthly, or operational reporting.
Secure sharing
Share dashboards, embedded reports, and snapshots without giving every stakeholder direct database access.
Multiple sources together
Place database metrics beside API, analytics, product, customer, payment, and project management data.
Setup Requirements
What you need before connecting Timescale
Start with the right Timescale access, a clear reporting scope, and a few fields that map to useful dashboard metrics.
A TimescaleDB database reachable from Chartbrew
Host, port, database name, user, password, and SSL settings
A read-only user with access to reporting hypertables, tables, or views
Timestamp columns and dimensions for grouping time-series data
Known metrics, devices, customers, services, or reporting scopes for the first dashboard
| Dataset idea | What it can power |
|---|---|
| Metric trend | Measurements grouped by time bucket |
| Device summary | Sensor or device readings grouped by device, site, or region |
| Error rate | Errors, failed jobs, or unhealthy events over time |
| Throughput | Requests, messages, events, or jobs processed by time period |
| Usage by customer | Usage metrics grouped by account, workspace, or plan |
| Anomaly table | Outliers, missing readings, failures, or stale devices |
| Service health | Latency, uptime, and operational metrics by service |
| Regional report | Measurements filtered by location, site, region, or device type |
Setup Guide
Follow the TimescaleDB visualization guide
Use the guide to connect TimescaleDB, query time-series tables, and build a Chartbrew dashboard.
Related Features
Features that make Timescale reporting useful
Use Timescale dashboards with Chartbrew automation, AI workflows, sharing, embeds, filters, and reporting tools.
SQL query builder
Write, test, and reuse SQL datasets for operational charts, tables, filters, and dashboard sections.
AI SQL assistant
Ask Chartbrew to draft SQL queries and chart ideas from your schema when you need a faster starting point.
Data update schedules
Refresh database dashboards automatically so recurring reports stay current without manual exports.
Dashboard snapshots
Send scheduled dashboard snapshots to clients, operators, founders, and internal reporting channels.
Filter variables
Reuse one dashboard across customers, regions, products, statuses, date ranges, and team-specific views.
Embedded reports
Embed live database dashboards into portals, admin panels, client workspaces, or internal tools.
Related Integrations
Connect Timescale with the rest of your reporting stack
Blend Timescale metrics with product, customer, revenue, analytics, project, and operational data from other Chartbrew sources.
FAQ
Timescale integration questions
Practical details about using Timescale data in Chartbrew dashboards.
Build your Timescale dashboard
Turn TimescaleDB time-series data into live dashboards
Connect TimescaleDB, create reusable SQL datasets, and share metrics, telemetry, usage, and operational dashboards.
