Product News

Census Sync: What's New in June

Katy Yuan
Katy Yuan June 30, 2022

Katy is a Product Marketing Manager at Census who loves diving into startups, SaaS technology, and modern data platforms. When she's not working, you can find her playing pickleball or Ultimate Frisbee.

Shoutout to any readers who met the Census team at Snowflake Summit or the Databricks Data & AI Conference! If you’re excited for more friends and fun, don’t miss our Summer Community Days coming up July 28-29 🦩

Summer Community Days

Our inaugural community event for data folks to mingle and celebrate summer vibes! Summer Community Days is a 2-day, practitioner-first event July 28 and 29. We’ll bring virtual workshops directly to you, as well as in-person happy hours in select US cities to help you connect with your local data scene. 

👉 Register now 👈

🎉 New Features

Census + Help Scout

We’ve partnered with Help Scout to enable customer success teams to do more with their data! Using Census, it's easy to sync trusted data from your data warehouse to Help Scout to delight customers and proactively reduce churn.

👉 Read the partnership announcement

Census + Microsoft

Announcing support for Azure Synapse, Microsoft’s cloud data platform, and Microsoft Dynamics 365 business applications to help customers deliver more engaging experiences.

👉 Read the blog announcement

sync.new

A new action-based shortcut for Reverse ETL. From 3 steps to just 1, now it's even easier and faster to create a new Census sync. Try it: sync.new

👉 See how it works

Snowflake Stream Triggers

Kick off a reverse ETL sync only when your data changes, saving time and credits. The better, faster way to sync Snowflake data continuously, especially for data that's updated on an irregular frequency but needs to be synced ASAP.

👉 Read the full announcement

🔗 Connectors

New

​​Services Partner Program

We launched our Services Partner Program, adding to our existing technology partners to help organizations get the most out of Census 🚀

👉 Apply now to unlock access to GTM resources

💡 OA in Action

Suela Isaj, Data & Analytics Engineer at Issuu, wrote an awesome post on how she used Census’s Sync Logs in the warehouse to improve the data quality of their end-to-end pipelines to Iterable. The post is focused on Iterable data flows, but the process is generalizable for every type of OLTP source.

Read the blog post

Questions, concerns, feedback?

Join us on Slack in the OA Club or reach out through email. We’d love to hear from you!

P.S. We’re hiring! Join us 🥳

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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:

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Why Census Embedded?
Why Census Embedded?

Last November, we shipped a new product: Census Embedded. It's a massive expansion of our footprint in the world of data. As I'll lay out here, it's a natural evolution of our platform in service of our mission and it's poised to help a lot of people get access to more great quality data.