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LaunchDarkly to Google BigQuery integration

Connect LaunchDarkly to Google BigQuery and automatically sync your application data. Weld extracts data from LaunchDarkly, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for freeView setup guide
4.8 on G2
LaunchDarklySource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
LaunchDarklySourceLaunchDarklyConnected
Tables to sync
  • project8 cols
  • feature_flag29 cols
  • segment15 cols
  • context8 cols
  • context_attribute7 cols
  • segment_rule5 cols
  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
launchdarkly dataset
  • launchdarkly.projectSynced
  • launchdarkly.feature_flagSyncing
  • launchdarkly.segmentSynced
  • launchdarkly.contextSynced
  • launchdarkly.context_attributeSynced
  • launchdarkly.segment_ruleSynced
LaunchDarkly tables
12
fields, typed
122
relationships kept
8
agent context included
MCP

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How it works

How to set up LaunchDarkly to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New LaunchDarkly sync
LaunchDarklyNew connectionLaunchDarklyAuthorised
Connection namelaunchdarkly
AuthorizeOpens LaunchDarkly to grant read access
Use cases

Why sync LaunchDarkly to Google BigQuery?
Ready for analysis.

Centralizing your LaunchDarkly data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying LaunchDarkly data directly in Google BigQuery using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring LaunchDarkly data into Google BigQuery alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from LaunchDarkly to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every LaunchDarkly table, keys intact.

Weld syncs the objects the LaunchDarkly connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 12 tables
  • project
  • feature_flag
  • segment
  • context
  • context_attribute
  • segment_rule
  • feature_flag_environment_rule
  • feature_flag_variations
  • feature_flag_environment
  • project_environment
  • feature_flag_environment_rule_clause
  • segment_rule_clause
Weld MCP server

Ask your agent.
It queries Google BigQuery for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the LaunchDarkly context, finds the tables it needs and runs the query in Google BigQuery.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many context rows do we have per project? Use our LaunchDarkly data in Google BigQuery.

Reading the LaunchDarkly context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.launchdarkly.context
raw.launchdarkly.project
+ 10 more LaunchDarkly tables
●weld·get_reference_schema
⎿context · 8 columns
joins project on project_id
●weld·run_query
⎿select p.id, count(*) from {{raw.launchdarkly.context}} c
join {{raw.launchdarkly.project}} p on c.project_id = p.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from LaunchDarkly data in Google BigQuery
>Ask about your LaunchDarkly data
Under the hood

Technical considerations.
What to expect.

Incremental syncing
Weld uses incremental syncing where supported by the LaunchDarkly API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling
Weld automatically manages schema changes. If LaunchDarkly adds new fields, they're detected and added to the corresponding Google BigQuery tables.
Data freshness
Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security
All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Resources

Keep reading.
Guides, docs and schema.

Documentation

LaunchDarkly setup guide

How to connect LaunchDarkly to Weld, step by step.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Schema

LaunchDarkly schema explorer

Browse all 12 tables and 122 fields.

Connector

LaunchDarkly connector

Everything Weld does with LaunchDarkly.

FAQ

Common questions.
About LaunchDarkly to Google BigQuery.

Start syncing LaunchDarkly to Google BigQuery.

Set up your LaunchDarkly data pipeline in minutes. No credit card required. Free for 14 days.

LaunchDarklySource
WeldWeld
Google BigQueryWarehouse
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Related

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More with LaunchDarkly and Google BigQuery.

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