Is Definite a data warehouse for my Launchdarkly data?

Yes. Definite is your complete data warehouse for Launchdarkly data—no need to pay for Snowflake, BigQuery, or Databricks. Definite syncs your data into secure, managed infrastructure, powered by DuckDB for high-performance analytics. Definite handles encrypted, persistent storage behind the scenes with enterprise-grade security, automatic syncing, and backups. You get lightning-fast queries, built-in business intelligence tools, and SOC 2–compliant data residency options—all without the overhead or complexity of running a separate warehouse.

Can I analyze my Launchdarkly data with other data sources?

Yes. Definite lets you connect and analyze data across all your tools — from app databases and CRMs to marketing automation, analytics, and customer support platforms. Our built-in Sync Engine supports over 500+ data sources, with options for daily, hourly, or near real-time. Definite makes analysis easy. You can select metrics and dimensions from your Launchdarkly data alongside other sources to explore insights, build dashboards, and share results — no SQL needed (unless you want to). Or simply ask Fi, our AI analyst, to find answers, uncover patterns, and instantly create charts and reports for you.

Can Definite connect Launchdarkly data to tools like Python, SQL, Google Sheets, or Slack?

Yes. Definite integrates seamlessly with the tools you already use. You can run Python scripts for advanced analysis, query your data directly with SQL, or sync results to Google Sheets and Slack for easy sharing. Data can be exported in CSV, Excel, or JSON, accessed via the Metrics API, or embedded directly into your product or internal dashboards. Definite makes it simple to connect, automate, and share insights wherever your team works.

How does Definite's AI actually work?

Definite includes Fi, our AI data analyst that understands your business data and speaks your language. Fi can explore your connected sources, write SQL, and build charts or dashboards in minutes — turning plain-English questions into real analysis. Under the hood, Fi uses Definite's semantic models and query engine to interpret context, generate accurate queries, and explain results clearly. The result: faster insights, fewer bottlenecks, and analytics that finally deliver ROI.

Can I use Definite for free?

Yes. Definite offers a free plan for qualifying startups that includes core analytics, dashboards, and AI insights — everything you need to get started. You can upgrade anytime for more data sources, faster syncs, and advanced automations.

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← All connectors/DevOps & Monitoring

§ Connector

Launchdarkly

Analyze your Launchdarkly data with AI today.

Build dashboards, automate reports, and ask questions in plain English — all from your Launchdarkly data, no complex infrastructure to maintain.

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Have multiple Launchdarkly accounts? Analytics across multiple Launchdarkly accounts →

§ Live with

§ What you get

Everything Launchdarkly exposes, modeled and queryable.

Extracts LaunchDarkly feature flag data across projects, including flag metadata, per-environment settings, and explicit target assignments. Enables inventorying flags, auditing rollout configurations, and analyzing which users or contexts are targeted to specific variations in a given environment.

Standard on every Definite connector

Sync cadence

Hourly or faster

CDC

Native where supported

Auth

OAuth / API key

Row-level security

Yes

Tables & streams

4 objects

◆Feature Flag

Represents individual feature flags within a project; supports inventorying flags, monitoring lifecycle status, client-side availability, variation definitions, and rollout status across environments.

◆Project

Represents a LaunchDarkly project that organizes flags and environments; enables portfolio-level analysis of flag coverage, governance tags, and standardization across projects.

◆Environment

Represents deployment environments (for example, production or staging) captured via per-flag settings; enables comparison of configuration, default variations, and rollout progress by environment.

◆Flag Targeting

Captures explicit targets and context-based assignments that determine which users or contexts receive each variation; supports auditing exposure, cohort coverage, and compliance reviews at the environment level.

Authentication

Uses a LaunchDarkly API access token in the Authorization header to authenticate

Requirements

Requires a Launchdarkly account to connect.

Analyze with Fi

Operational data, performance metrics, and business insights.

§ How it works