Product News

Meet Census: The first Reverse ETL tool to sync data from your warehouse to business tools

Boris Jabes
Boris Jabes May 27, 2020

Boris is the CEO of Census. Previously, he was the CEO of Meldium, acquired by LogMeIn. He is an advisor and alumnus of Y Combinator. He enjoys nerding out about data and technology, 8-bit graphics, and helping other startup founders.

I'm excited to announce that Census, the product we've been working on for over a year, is now publicly available! Census lets you sync your customer data from a data warehouse to all your business tools. It's designed for business ops teams that want to leverage data without relying on engineering.

We are also excited to share that we've raised over $4.3 million in seed funding, led by David Ulevitch at Andreessen Horowitz (a16z), with participation from great angel investors like SV Angel, Adam Gross (ex-CEO of Heroku), Ryan Petersen (CEO of Flexport), Fritz Lanman (CEO of ClassPass), Max Mullen (Co-Founder of Instacart) and Alex MacCaw (CEO of Clearbit).

We decided to tackle this problem after years of frustration with customer data being silo'ed in different applications.

The number of tools we use in every job has exploded. The sales and revenue ops teams on our platform have over a dozen tools that all touch customer data such as Outreach, Salesloft, Salesforce, Pipedrive, Marketo, Pandadoc, Stripe, Yesware, Conga, etc. They've been valiantly trying to tie these systems together with point-to-point integrations, but this "spaghetti infrastructure" becomes a maintenance nightmare when you want to add something new, or worse, when something goes wrong. And once your tools are automatically reaching out to customers on your company's behalf, the margin for error is vanishingly small.

To combat this data sprawl, today's best of breed companies use cloud data warehouses like Snowflake that can automatically scale based on usage. They combine that warehouse with tools to ingest data like Fivetran & Stitch to bring all their raw SaaS data into one place. Finally, tools like dbt allow analytics teams to build data models that end up as reports in BI dashboards.

The missing piece is operationalizing that data for the rest of the business. BI reports are great, but the data pipeline can't end there: companies need to bring these insights directly into the marketing, sales, success, and support applications where the business lives and breathes.

Census is this missing piece.

Census connects directly to your data warehouse and syncs data into apps like Salesforce, Marketo, and Google Sheets to help customer success, sales, and marketing be more effective.

We provide a simple interface to control how data is mapped and how frequently it’s synced. Users can transform their data using SQL or tools like dbt. All of these pipelines are automatically monitored so users can uncover anomalies before the business is impacted.

We're launching today with support for all the major cloud data warehouses (Redshift, Snowflake, BigQuery, and Postgres). We also support a dozen app integrations and more are on the way.

We've been lucky to work with some great early customers like Figma, Notion, and Clearbit. Here's some examples of how these product-led SaaS companies have been using Census to drive better operations:

  • Improving Customer Success with User & Account activity. By syncing product activity metrics into Salesforce, CS teams build native reports & alerts to track expansion/churn.
  • Driving new sales with Product-Qualified Leads. Ops teams set up rules (combining activity & 3rd party signals) to discover potential sales accounts from aggregated freemium users and automatically sync these into a CRM as new leads. They also highlight the most active users in each lead/account so sales can prioritize who to call.
  • Building personalized marketing campaigns. By merging product, support, and sales data, marketing teams build segments of users who should hear about new features/offers without bombarding the whole user base (e.g. notifying only users who experienced a pain point). As a bonus, they're able to send these automated emails "from" the internal account owner, which is synchronized via Census.
“Our sales people don’t want to look at 10 different tools to understand what our users are doing. The system we’ve built with Census brings the data right to their fingertips so they can focus and spend more time with customers.” - Kyle Parrish Head of Sales @ Figma

Our ultimate goal is to help data & ops become more agile by building a central customer data hub that enables orchestration at scale. With Census, analysts can focus on building shared data definitions while ops teams can orchestrate all the business tools using clean & consistent data. All without having to wait on custom engineering.

Celebrating in person will have to wait.

We're excited to share Census with the world and kick off the next step in our journey even amidst these difficult and uncertain times. In lieu of a party, please enjoy this digital confetti 🎉 and come say hi at getcensus.com. We'd love to hear from you.

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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: