Product News

Announcing Sync Sequences | Census

Sylvain Giuliani
Sylvain Giuliani November 03, 2022

Syl is the Head of Growth & Operations at Census. He's a revenue leader and mentor with a decade of experience building go-to-market strategies for developer tools. San Francisco, California, United States

Today, we’re excited to announce the release of Sync Sequence Triggers. This new kind of trigger allows you to run a sync based on the successful run of another sync.

But why?

This is useful for anyone trying to sync data across a graph of objects with nested dependencies, like in a CRM when you have a relationship that looks like this 👇


‎Previously, you would just run syncs in parallel and the data in these objects would eventually be consistent. But that meant your data could be in a weird state where a Contact “is attempting to be associated with an Account", but is rejected because the Account sync hadn’t been completed yet.

This race condition rears its head related to lookups/reference records, which would need the next sync to properly handle the association. Then, finally, the next contact sync would then associate the existing contact with the newly created account. 🤪

With Sync Sequence, you can now pick the order you want to create or update these objects. If we take our previous example, you can now create this Sync flow.


‎This guarantees that all the associations will be correct as they are being created and updated in the right order. No more orphan contacts waiting for 2 (or even 3) syncs before being associated with their accounts and their workspace objects!

But that’s not all. With Sync Sequence Triggers, you can also explore new use cases such as:

  • Scheduling your payment sync to run only after the associated contact is created and updated in Stripe
  • Create Events in your Product Analytics tools like Mixpanel only after the users are created

‎‎What’s next?

Does this mean that Census is doing orchestration? No. But we are big believers that you shouldn’t just sync fields on a single object but rather the whole representation of your business objects in all of your tools. Having dependencies between syncs is the first step toward that dream.

This feature is available today in your Census Dashboard, so go check it out or check out our documentation here.

Related articles

Customer Stories
Built With Census Embedded: Labelbox Becomes Data Warehouse-Native
Built With Census Embedded: Labelbox Becomes Data Warehouse-Native

Every business’s best source of truth is in their cloud data warehouse. If you’re a SaaS provider, your customer’s best data is in their cloud data warehouse, too.

Best Practices
Keeping Data Private with the Composable CDP
Keeping Data Private with the Composable CDP

One of the benefits of composing your Customer Data Platform on your data warehouse is enforcing and maintaining strong controls over how, where, and to whom your data is exposed.

Product News
Sync data 100x faster on Snowflake with Census Live Syncs
Sync data 100x faster on Snowflake with Census Live Syncs

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: