Connect TimescaleDB to your datalake
Bring TimescaleDB data to a central environment, updated at the frequency you set and ready for dashboards, AI and reports — no manual exports.
Limited access: Live extraction is enabled per connector after validation with a real credential from your account. Contact support to request enablement.
State of this connector
Limited access. Live extraction is enabled per connector after validation with a real credential from your account. Contact support to request enablement.
The problem
Data that lives in TimescaleDB (Postgres for time series) often stays isolated from the rest of the company. To analyze it alongside ERP, spreadsheets and other sources, someone exports and merges everything by hand — causing rework and risk of error.
How to connect TimescaleDB
You configure the connection once, set the update frequency and data starts arriving in your datalake organized in layers. This connector is in limited access — see the usage condition above before relying on it in your operation.
What you get
- TimescaleDB data centralized with your other sources
- Scheduled ingestion at the frequency your business needs
- Organization in Bronze, Silver and Gold layers
- Dashboards in the native BI and natural language questions to the AI
- Read by Power BI, Excel and other tools from the prepared datasets
How ingestia.io helps
ingestia.io connects TimescaleDB, databases, files, spreadsheets and systems in a single data platform, with scheduled ingestion and governance. Once connected, you choose the destination: dashboards in the native BI, natural language questions to the AI, scheduled reports, APIs or your current BI tool — all with a monthly plan and usage credits.
Does your company need to centralize data?
Take the ingestia.io Data Structure Simulator and find out which path makes the most sense to organize your sources, cut rework and build a reliable foundation for reports, dashboards and integrations.