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Database tools live outside

DataGrip on your laptop. Azure Data Studio on your work machine. pgAdmin somewhere else. Every tool requires separate credential management, VPN access, and local installation.

DB Loadr is your database studio inside the Workbench. Credentials are stored once, secured by Zentinelle, accessible from your workspace. No local installs. No credential juggling. Your data, where you work.

What DB Loadr connects to:
22+ connectors, all inside your secure workspace.
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PostgreSQL & MySQL
Full query, schema management, and data exploration for the most common relational databases. Connect via direct connection or SSH tunnel.
MongoDB & NoSQL
Document databases, collections, and queries — the same workspace as your relational data, no separate tool required.
Snowflake & BigQuery
Cloud data warehouses connected directly. Query petabyte-scale data from inside your isolated workspace without exposing credentials to your laptop.
AWS Redshift & S3
Amazon data services accessible from inside Calliope AI’s cloud environment. Minimal network hops, no VPN gymnastics.
SQLite & Local Files
Lightweight databases and CSV files on your EFS workspace — inspect, query, and transform data that lives alongside your notebooks and scripts.
ETL & Data Loading
Move data between sources, transform on the way, and load into target databases — all from the same browser tab.
DB Loadr Capabilities
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Centralized Credentials
Database credentials are stored once in your Workbench and governed by Zentinelle. No more credentials on developer laptops, in Slack DMs, or in .env files scattered across machines.
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Shared Org Config
Org-level database connection templates are available to all team members automatically. New developers connect to the right databases immediately — no “where’s the connection string?” Slack threads.
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AI-Assisted Queries
Natural language to SQL within the Workbench context. Ask questions about your data, get queries generated, and iterate — without copy-pasting between tools.

What is DB Loadr?

DB Loadr is Calliope AI’s database access, query, and data management studio. It runs inside your Workbench and connects to 22+ database types — removing the need for a separate database client application on your local machine.

Think of it as DataGrip or Azure Data Studio, but running inside your secure, governed cloud workspace — with credentials managed by your organization, not by individual developers.

Supported connectors

Relational: PostgreSQL, MySQL, MariaDB, SQLite, Microsoft SQL Server, Oracle, CockroachDB, TimescaleDB

Cloud Data Warehouses: Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, Databricks

NoSQL & Document: MongoDB, Redis, Cassandra, DynamoDB

File-based: CSV, Parquet, JSON (via EFS filesystem)

API & More: REST API sources, additional connectors via configuration

How credentials work

Database credentials in DB Loadr are managed at three levels:

  1. Org defaults — DBA or platform team configures shared connections once in /shared/loadr/config/
  2. User credentials — Individual credentials stored at ~/.loadr/config.yaml in the user’s EFS home
  3. Zentinelle governance — All credential access is logged and auditable

No credentials ever touch a developer’s local machine. Access is scoped to the Workbench session.

DB Loadr vs. DataGrip / Azure Data Studio

The key difference isn’t features — it’s where it runs.

DataGrip and Azure Data Studio are excellent desktop tools. But they require:

  • Local installation on every developer machine
  • Credentials stored locally or in a password manager
  • VPN access to reach internal databases
  • Individual setup for every new hire

DB Loadr runs inside your Calliope AI Workbench — which already has network access to your data infrastructure, already has credentials governed by Zentinelle, and is already set up for every user who joins your org.

22+ connectors. Zero local setup.

DB Loadr puts a full database studio inside your Calliope AI Workbench. Credentials managed by your org. Access governed by Zentinelle. No database client to install, maintain, or secure on developer laptops.

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