LaunchDarkly Data Integration with Snowflake

With Portable, integrate LaunchDarkly data with your Snowflake warehouse in minutes. Access your SaaS platform data from Snowflake without having to manage cumbersome ETL scripts.

The Two Paths to Connect LaunchDarkly to Snowflake

There are two ways to sync data from LaunchDarkly into your data warehouse for analytics.

Method 1: Manually Developing a Custom Data Pipeline Yourself

Write code from scratch or use an open-source framework to build an integration between LaunchDarkly and Snowflake.

Method 2: Automating the ETL Process with a No-Code Solution

Leverage a pre-built connector from a cloud-hosted solution like Portable.

How to Create Value with LaunchDarkly Data

Teams connect LaunchDarkly to their data warehouse to build dashboards and generate value for their business. Let’s dig into the capabilities LaunchDarkly exposes via their API, outline insights you can build with the data, and summarize the most common analytics environments that teams are using to process their LaunchDarkly data.

Extract: What Data Can You Extract from the LaunchDarkly API?

LaunchDarkly is a SaaS platform used for managing feature flags.

To help clients power downstream analytics, LaunchDarkly offers an application programming interface (API) for clients to extract data on business entities. Here are a few example entities you can extract from the API:

Access tokens Account members Account usage (beta) Approvals Audit log Code references Custom roles Data Export destinations Environments Experiments (beta) Feature flags Flag links (beta) Flag triggers Follow flags Integration audit log subscriptions Metrics Projects Relay Proxy configurations Scheduled changes Segments Tags Teams Users User settings Webhooks Workflows (beta) Workflow templates (beta)

You can visit the LaunchDarkly API Documentation to explore the entire catalog of available API resources and the complete schema definition for each.

As you think about the data you will need for analytics, don’t forget that Portable offers no-code integrations to other similar applications.

Regardless of the SaaS solution you use, it’s important to find a SaaS platform with robust data available for analytics.

Load: Which Destinations Are Best for Your LaunchDarkly ETL Pipeline?

To turn raw data from LaunchDarkly into dashboards, most companies centralize information into a data warehouse or data lake. For Portable clients, the most common ETL pipelines are:

  1. LaunchDarkly to Snowflake Integration
  2. LaunchDarkly to Google BigQuery Integration
  3. LaunchDarkly to Amazon Redshift Integration
  4. LaunchDarkly to PostgreSQL Integration
Common Data Warehouses
Common Data Warehouses

Once you have a destination to load the data, it’s common to combine LaunchDarkly data with information from other enterprise applications like Jira, Mailchimp, HubSpot, Zendesk, and Klaviyo.

From there, you can build cross-functional dashboards in a visualization tool like Power BI, Tableau, Looker, or Retool.

Develop: Which Dashboards Should You Build with LaunchDarkly Data?

Now that you have identified the data you want to extract, the next step is to plan out the dashboards you can build with the data.

As a process, you want to consume raw data, overlay SQL logic, and build a dashboard to either 1) increase revenue or 2) decrease costs.

Replicating LaunchDarkly data into your cloud data warehouse can unlock a wide array of opportunities to power analytics, automate workflows, and develop products. The use cases are endless.

Now that we have a clear sense of the insights we can create, let’s compare the process of developing a custom LaunchDarkly integration with the benefits of using a no-code ETL solution like Portable.

Method 1: Building a Custom LaunchDarkly ETL Pipeline

To build your own LaunchDarkly integration, there are three steps:

  1. Navigate the LaunchDarkly API documentation
  2. Make your first API request
  3. Turn an API request into a complete data pipeline

Let’s walk through the process in more detail.

How to Interpret LaunchDarkly’s API Documentation

When reading API documentation, there are a handful of key concepts to consider.


There are many common authentication mechanisms. OAuth 2.0 (Auth Code and Client Credentials), API Keys, JWT Tokens, Personal Access Tokens, Basic Authentication, etc. For LaunchDarkly, it’s important to identify the authentication mechanism and how best to incorporate the necessary credentials into your API requests.

All REST API resources are authenticated with either personal or service access tokens, or session cookies. Other authentication mechanisms are not supported. You can manage personal access tokens on your Account settings page.


It’s important to identify the LaunchDarkly API endpoints you want to use for analytics. Most APIs offer a combination of GET, POST, PUT, and DELETE request methods; however, for analytics, GET requests are typically the most useful. At times, POST requests can be used to extract data as well.

For LaunchDarkly, the members endpoint is a great place to get started.

Request Parameters

For each API endpoint you would like to use for analytics, you need to understand the method (GET, POST, PUT, or DELETE) and the URL, but there are other considerations to take into account as well. You should look out for pagination mechanics, query parameters, and parameters that are added to the request path.

LaunchDarkly uses offset and limit parameters for pagination.

Some API endpoints require unique identifiers from a previous API response to be included in the URL path. For instance, to list feature flag statuses, you need a feature flag and state that are returned from another endpoint.

How Do You Call the LaunchDarkly API? (Tutorial)

  1. Follow the instructions above to read the LaunchDarkly API documentation
  2. Identify and collect your credentials for authentication
  3. Pick the API resource you want to pull data from
  4. Configure the necessary parameters, method, and URL to make your first request (e.g. with curl or Postman)
  5. Add your credentials and make your first API call . Here is an example request using curl (without real credentials):
curl -i -X GET       
-H 'Authorization: YOUR_API_KEY_HERE'

How Do You Maintain a Custom LaunchDarkly to Snowflake ETL Pipeline?

Making a call to the LaunchDarkly API is just the beginning of maintaining a complete custom ETL pipeline.

Here is a getting-started guide to building a production-grade pipeline for LaunchDarkly:

  • For each API endpoint, define schemas (which fields exist and the type for each)
  • Process the API response and parse the data (typically parsing JSON or XML)
  • Handle and replicate nested objects and custom fields
  • Identify which LaunchDarkly fields are primary keys and which keys are required vs. optional
  • Version control your changes in a git-based workflow (using GitHub, GitLab, etc.)
  • Handle code dependencies in your toolchain and the upgrades that come with each
  • Monitor the health of the upstream API, and —when things go wrong— troubleshoot via the status page, reach out to support, and open tickets
  • Handle error codes (HTTP error codes like 400s, 500s, etc.)
  • Manage and respect rate limits imposed by the server

We won’t go into detail on all of the items above, but rate limits are a great example of the complexity found in a production-grade data pipeline.

Global rate limits Authenticated requests are subject to a global limit. This is the maximum number of calls that your account can make to the API per ten seconds. All personal access tokens on the account share this limit, so exceeding the limit with one access token will impact other tokens. Route-level rate limits Some authenticated routes have custom rate limits. These also reset every ten seconds. Any access tokens hitting the same route share this limit, so exceeding the limit with one access token may impact other tokens.

IP-based rate limiting We also employ IP-based rate limiting on some API routes. If you hit an IP-based rate limit, your API response will include a Retry-After header indicating how long to wait before re-trying the call. Clients must wait at least Retry-After seconds before making additional calls to our API, and should employ jitter and backoff strategies to avoid triggering rate limits again.

If you don’t respect rate limits, and if you can’t handle server responses (like 429 errors with a Retry-After header), your pipeline can break, and analytics can become out-of-date.

What Are the Drawbacks of Building the LaunchDarkly ETL Pipeline Yourself?

You can probably tell at this point that there is a lot of work that goes into building and maintaining an ETL pipeline from LaunchDarkly to your data warehouse.

If you want less development work, faster insights, and no ongoing responsibilities, you should consider a cloud-hosted ETL solution.

Let’s walk through the setup process for a no-code ETL solution and its benefits.

Method 2: Using a No-Code LaunchDarkly ETL Solution

No-code ETL solutions are simple. Vendors specialize in building and maintaining data pipelines on your behalf. Instead of starting from scratch for each integration. Companies like Portable create connector templates that can be leveraged by hundreds or thousands of clients.

Step-By-Step Tutorial for Configuring Your LaunchDarkly ETL Pipeline

Off-the-shelf ETL tools offer a no-code setup process. Here are the instructions to connect LaunchDarkly to your cloud data warehouse with Portable.

  1. Create an account (no credit card required)
  2. Add a source —search for and select LaunchDarkly
  3. Authenticate with LaunchDarkly using the instructions in the Portable console
  4. Select Snowflake and authenticate
  5. Set up a flow connecting LaunchDarkly to your analytics environment
  6. Run your flow to replicate data from LaunchDarkly to your warehouse
  7. Use the dropdown to set your data flow to run on a cadence

What Are the Benefits of Using Portable for LaunchDarkly ETL?

No-Code Simplicity

Start moving LaunchDarkly data in minutes. Save yourself the headaches of reading API documentation, writing code, and worrying about maintenance. Leave the hassle to us.

Easy to Understand Pricing

With predictable, fixed-cost pricing per data flow, you know exactly how much your LaunchDarkly integration will cost every month.

Fast Development Speeds

Access lightning-fast connector development. Portable can build new integrations on-demand in hours or days.

Hands-On Support

APIs change. Schemas evolve. LaunchDarkly will have maintenance issues and errors. With Portable, we will do everything in our power to make your life easier.

Unlimited Data Volumes

You can move as much data from LaunchDarkly to Snowflake as you want without worrying about usage credits or overages. Instead of analyzing your ETL costs, you should be analyzing your data.

Free to Get Started

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