LaunchDarkly to PostgreSQL integration
Connect LaunchDarkly to PostgreSQL and automatically sync your application data. Weld extracts data from LaunchDarkly, loads it into PostgreSQL, and lets you transform the data using SQL or dbt, no custom scripts required.
- project8 cols
- feature_flag29 cols
- segment15 cols
- context8 cols
- context_attribute7 cols
- segment_rule5 cols
- Extract
- Load
- Keep in sync
- 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
Trusted by data and AI teams
How to set up LaunchDarkly to PostgreSQL in Weld.
In the app, with the API or an agent.
Why sync LaunchDarkly to PostgreSQL?
Ready for analysis.
Centralizing your LaunchDarkly data in PostgreSQL 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 PostgreSQL using SQL or your preferred BI tool.
Centralized data warehouse
Bring LaunchDarkly data into PostgreSQL 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 PostgreSQL. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every LaunchDarkly table, keys intact.
Weld syncs the objects the LaunchDarkly connector exposes into PostgreSQL, and you choose which tables and fields to include. The connector's docs list what is available.
- 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
Ask your agent.
It queries PostgreSQL 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 PostgreSQL.
How many context rows do we have per project? Use our LaunchDarkly data in PostgreSQL.
Reading the LaunchDarkly context first, so the query uses the right tables and keys.
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 PostgreSQL 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.
Keep reading.
Guides, docs and schema.
LaunchDarkly setup guide
How to connect LaunchDarkly to Weld, step by step.
DocumentationPostgreSQL setup guide
How to connect PostgreSQL to Weld, step by step.
SchemaLaunchDarkly schema explorer
Browse all 12 tables and 122 fields.
ConnectorLaunchDarkly connector
Everything Weld does with LaunchDarkly.
Common questions.
About LaunchDarkly to PostgreSQL.
Start syncing LaunchDarkly to PostgreSQL.
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