Explo home page
Search...
⌘K
Ask AI
Take a tour
Request free trial
Request free trial
Search...
Navigation
Data Connector (FIDO)
General
Documentation
API Reference
Case Studies
Security Trust Center
Changelog
Home
Explo Help Desk
FAQ
Customers
Overview
Customer Hierarchy
Group Tags
Data
Connecting to Data Sources
Data Sources and Schema
Data Library
Building your data model
Data Connector (FIDO)
General
How to Migrate
Data Source Specifics
Dashboards
Creating Dashboards
Dashboard Features
Report Builders
Creating Report Builders
Report Builder Features
Embedding Documentation
Add Explo Domains To CSP
Allowlisting your domain
Embed secrets (JWTs)
Dashboard Embedding
Report Builder Embedding
IFrame vs Web Component
Troubleshooting Your Embed
Data Share
Overview
Getting Started
S3 Setup
AI Features
AI Acknowledgement
Context Setting
General Features
Version Control
Analytics Reporting
Internationalization
Timezones
Custom JS Events
Embed ID Page
Exporting Features
Managing Permissions
Data Visibility Groups
User Roles
Security
Security FAQs
Rate Limits
Caching Layer
On this page
Resources
Data Connector (FIDO)
General
Explo’s data querying microservice called FIDO.
FIDO is Explo’s data orchestration service. There are a lot of benefits compared to the previous data querying architecture including:
Persistent database connection management, eliminating connection latency for queries (connection and SSH tunneling time)
Longer timeouts configurable for queries
Querying databases within a certain region of the world for data residency requirements and speed optimizations
Connect via SSH tunneling, AWS PrivateLink, and more
Resources
We’ve also
talked about it a bit on our engineering blog
if you’d like to read more.
Here is a slide that we presented with a partner showing one customer’s speed-up (your results may vary of course).
Here is a talk that Gary (co-founder) gave about the query service
Optimizing Analytics Platforms with ClickHouse
(March 2025)
Building your data model
How to Migrate
Assistant
Responses are generated using AI and may contain mistakes.