Product News

GitLink: Version Control for Census

Jeff Sloan
Jeff Sloan May 31, 2023

Jeff is a Senior Data Community Advocate at Census, previously a Customer Data Architect and a Product Manager. Jeff has strong opinions on LEFT JOINs, data strategy, and the order in which you add onions and garlic to a hot pan. Based in New York City.

At Census, our core belief is that your data activation workflows deserve the same care and attention as production-grade software. Existing data integration platforms like CDPs sacrifice governance and observability for user friendliness. We don’t think this tradeoff should exist.

Modern data teams already have solutions for quality. We leverage tools like configuration as code and Git to build and manage data pipelines at scale. 

That’s why we’re excited to announce Census’s Git integration, called GitLink. By syncing configuration bi-directionally between your Census workspace and Git repository, GitLink makes your data activation workflows completely manageable in code. 

Census, with the launch of GitLink, does for data activation what dbt does for analytics engineering. GitLink brings software development best practices to your Reverse ETL pipelines, enabling version control, testing, and peer review.

GitLink enables:

  • Data activation as code. Create, edit, and review your Census SQL Models and Syncs directly in simple, well-defined YAML files.
  • Bi-directional syncs. Use the Census UI for quick edits, or push changes to Census as easily as a Git commit from your terminal. Use the right tool for the job, and never step foot in the Census UI if you don’t need to.
  • Version control and seamless rollbacks. All changes in the UI are committed to your Git repository, and linked to the Census user who made them. View all changes to your Census configuration, and roll back any mistaken changes with the power of Git.
  • Automated integration testing. Census will run continuous integration (CI) checks on any pull requests in your Git repository, and let you know what changes will occur in Census, or if any changes are invalid.
  • Governance for every use case. Enable any approval flow your team needs. We give you the option to fully govern any Census workspace in Git with view-only access controls + GitLink. Alternatively, if you allow self-service in the Census UI, GitLink will maintain a running list of any data dependencies created by your teammates.

In short, GitLink brings software engineering best practices of version control, peer review, and testing to all your marketing and business operations. 

Here it is in action:

Census bridges the gap between data and marketing

GitLink is a huge leap forward for data and marketing team collaboration. Census gives you the best of both worlds: 

  • Marketers thrive in a self-service Audience Hub that enables no-code audience targeting in 200+ marketing and business tools.
  • Developers and data teams who live and breathe in code can manage data activation pipelines alongside their data engineering workflows.

Don't sacrifice the governance, security, and quality control that code gives you. Instead, you can manage your operations in code or no-code, keeping both worlds in sync.

How it works

When using GitLink, you (or your teammates) can make changes in code with ease, or continue to make changes effortlessly in the Census UI.

After you make changes via Git or the CLI, GitLink deploys your changes by taking advantage of separate planning and execution steps under-the-hood (analogous to Terraform’s plan and apply commands). This separation means that Census can easily run a CI pipeline on your behalf when you create a pull request, telling you:

  1. Exactly which resources will be created, updated or deleted
  2. How the resources will be changed
  3. Specific errors in your YAML that will prevent the changes from being deployed
We automatically run CI tests to alert you of potential errors

After a commit is made in your Git repository, GitLink will automatically run both plan and apply steps in your Census workspace on your behalf. During this process, it applies the exact changes you’ve made, and creates a detailed audit log in the case of any errors. We store all of these logs in a Git Reconciliation History view for data teams and Census administrators.

See a detailed audit log in the Census UI

Observability is a first-class concept with GitLink enabled. View the YAML for every Census resource, and easily audit changes in both Git and the resource’s Activity tab.

Easily audit changes by viewing them in the Census UI or in Git

Get started today

GitLink closes the gap between your data activation workflows and the rest of your data operations in code. Use GitLink to manage critical changes and track the history of your Reverse ETL pipelines. 

To get started, navigate to Settings > Integrations, and click “Setup” for Git Repository Tracking. Visit our docs for more information.

Traditional activation tools aren't built for data teams. Census is.

Traditional marketing and audience management tools are nightmares for troubleshooting, collaboration, and governance. At best, they obscure the flow of data behind simple UIs. At worst, they hide identity resolution and other business logic in a black-box you can’t debug or improve.

By combining the benefits of code and no-code approaches, Census bridges the gap between self-service and governance, enabling collaboration between marketers and data teams. The most effective organizations leverage a Composable Customer Data Platform on the data warehouse to drive marketing personalization, automation, and targeting – which is even easier with Census GitLink. 

Chat with our team to learn more, or start a free trial of Census today.

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For years, working with high-quality data in real time was an elusive goal for data teams. Two hurdles blocked real-time data activation on Snowflake from becoming a reality: Lack of low-latency data flows and transformation pipelines The compute cost of running queries at high frequency in order to provide real-time insights Today, we’re solving both of those challenges by partnering with Snowflake to support our real-time Live Syncs, which can be 100 times faster and 100 times cheaper to operate than traditional Reverse ETL. You can create a Live Sync using any Snowflake table (including Dynamic Tables) as a source, and sync data to over 200 business tools within seconds. We’re proud to offer the fastest Reverse ETL platform on the planet, and the only one capable of real-time activation with Snowflake. 👉 Luke Ambrosetti discusses Live Sync architecture in-depth on Snowflake’s Medium blog here. Real-Time Composable CDP with Snowflake Developed alongside Snowflake’s product team, we’re excited to enable the fastest-ever data activation on Snowflake. Today marks a massive paradigm shift in how quickly companies can leverage their first-party data to stay ahead of their competition. In the past, businesses had to implement their real-time use cases outside their Data Cloud by building a separate fast path, through hosted custom infrastructure and event buses, or piles of if-this-then-that no-code hacks — all with painful limitations such as lack of scalability, data silos, and low adaptability. Census Live Syncs were born to tear down the latency barrier that previously prevented companies from centralizing these integrations with all of their others. Census Live Syncs and Snowflake now combine to offer real-time CDP capabilities without having to abandon the Data Cloud. This Composable CDP approach transforms the Data Cloud infrastructure that companies already have into an engine that drives business growth and revenue, delivering huge cost savings and data-driven decisions without complex engineering. Together we’re enabling marketing and business teams to interact with customers at the moment of intent, deliver the most personalized recommendations, and update AI models with the freshest insights. Doing the Math: 100x Faster and 100x Cheaper There are two primary ways to use Census Live Syncs — through Snowflake Dynamic Tables, or directly through Snowflake Streams. Near real time: Dynamic Tables have a target lag of minimum 1 minute (as of March 2024). Real time: Live Syncs can operate off a Snowflake Stream directly to achieve true real-time activation in single-digit seconds. Using a real-world example, one of our customers was looking for real-time activation to personalize in-app content immediately. They replaced their previous hourly process with Census Live Syncs, achieving an end-to-end latency of <1 minute. They observed that Live Syncs are 144 times cheaper and 150 times faster than their previous Reverse ETL process. It’s rare to offer customers multiple orders of magnitude of improvement as part of a product release, but we did the math. Continuous Syncs (traditional Reverse ETL) Census Live Syncs Improvement Cost 24 hours = 24 Snowflake credits. 24 * $2 * 30 = $1440/month ⅙ of a credit per day. ⅙ * $2 * 30 = $10/month 144x Speed Transformation hourly job + 15 minutes for ETL = 75 minutes on average 30 seconds on average 150x Cost The previous method of lowest latency Reverse ETL, called Continuous Syncs, required a Snowflake compute platform to be live 24/7 in order to continuously detect changes. This was expensive and also wasteful for datasets that don’t change often. Assuming that one Snowflake credit is on average $2, traditional Reverse ETL costs 24 credits * $2 * 30 days = $1440 per month. Using Snowflake’s Streams to detect changes offers a huge saving in credits to detect changes, just 1/6th of a single credit in equivalent cost, lowering the cost to $10 per month. Speed Real-time activation also requires ETL and transformation workflows to be low latency. In this example, our customer needed real-time activation of an event that occurs 10 times per day. First, we reduced their ETL processing time to 1 second with our HTTP Request source. On the activation side, Live Syncs activate data with subsecond latency. 1 second HTTP Live Sync + 1 minute Dynamic Table refresh + 1 second Census Snowflake Live Sync = 1 minute end-to-end latency. This process can be even faster when using Live Syncs with a Snowflake Stream. For this customer, using Census Live Syncs on Snowflake was 144x cheaper and 150x faster than their previous Reverse ETL process How Live Syncs work It’s easy to set up a real-time workflow with Snowflake as a source in three steps: