Connect Elasticsearch to your datalake
Bring Elasticsearch data to a central environment, updated at the frequency you set and ready for dashboards, AI and reports — without manual exports.
Limited access: Live extraction is enabled connector by connector after validation with a real credential from your account. Contact support to request release.
Status of this connector
Limited access. Live extraction is enabled connector by connector after validation with a real credential from your account. Contact support to be enabled.
The problem
Data that lives in Elasticsearch (search and JSON document analysis engine) often stays isolated from the rest of the company. To analyze it together with ERP, spreadsheets and other sources, someone exports and joins everything by hand — causing rework and risk of error.
How to connect Elasticsearch
You configure the connection once, set the refresh frequency, and the data start arriving into 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
- Elasticsearch data centralized with other sources
- Scheduled ingestion at the frequency your business needs
- Layered organization in Bronze, Silver and Gold
- Dashboards in native BI and natural language questions to the AI
- Read prepared datasets with Power BI, Excel and other tools
How ingestia.io helps
ingestia.io connects Elasticsearch, databases, files, spreadsheets and systems into a single data platform, with scheduled ingestion and governance. After connected, you choose the destination: dashboards in 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.