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LaunchDarkly to Amazon S3 integration

Connect LaunchDarkly to Amazon S3 and automatically sync your application data. Weld extracts data from LaunchDarkly, loads it into Amazon S3, 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
Amazon S3Warehouse
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
Amazon S3DestinationAmazon S3Ready
launchdarkly schema
  • 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 Amazon S3 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 Amazon S3?
Ready for analysis.

Centralizing your LaunchDarkly data in Amazon S3 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 Amazon S3 using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring LaunchDarkly data into Amazon S3 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 Amazon S3. 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 Amazon S3, 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 Amazon S3 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 Amazon S3.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many context rows do we have per project? Use our LaunchDarkly data in Amazon S3.

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 Amazon S3
>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 Amazon S3 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

Amazon S3 setup guide

How to connect Amazon S3 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 Amazon S3.

Start syncing LaunchDarkly to Amazon S3.

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

LaunchDarklySource
WeldWeld
Amazon S3Warehouse
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Related

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More with LaunchDarkly and Amazon S3.

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