Robuta

Use the Python SDK to upload log data

Saved filters on Log data for tracking

Installing and using the DBNL Command Line Interface (CLI)

How to hook up LLMs to DBNL

Answers to frequently asked questions

Spare parts Patria OEM.

Install the DBNL platform in the way that best fits your needs.

View and manage Data Pipeline runs for your Project.

List of networking requirements

An overview of the DBNL Query Language

An overview of data access controls.

Pre-built templates to customize LLM-as-judge Metrics

Reference documentation for the Distributional Python SDK

Key terms and concepts in DBNL

Be notified when DBNL completes certain actions

Start analyzing with the DBNL platform immediately

We examine the distributional consequences of trade using the New World Grain Invasion that occurred in the second half of the 19th century. We use a...

Pull data from existing SQL tables

How DBNL understands the structure and semantics of your data

Creating and administering projects within DBNL

Discover signals from automated analysis of log data

Filterable subsets of all ingested data and all generated Metrics

How resources, users, and permissions are organized with a DBNL deployment.

An overview of the architecture for the DBNL platform

How log data becomes behavioral signals

Discover signals by viewing tracked Columns, Segments, and Metrics.

Publish OTEL Traces directly to your DBNL Deployment

High-level overview of the DBNL platform building blocks.

Codify signals to track behavior that matters

Functions available in the query language.

Standard End User Agreements

Distributional's adaptive analytics platform

How to get data into DBNL

Analysis of single women and men in Europe reveals persistent gender wealth gaps and differing patterns across countries

Investigate signals through direct graphical comparison.