One platform for ETL, Reverse ETL, and CDC streaming - so your warehouse and your SaaS tools finally agree.
Somewhere right now, a customer-success manager is staring at a Salesforce record that is wrong. Not maliciously wrong - just stale. The real answer lives three systems away, inside a data warehouse that cost a fortune and knows everything: which accounts are healthy, which are quietly churning, who logged in last Tuesday. The warehouse has the truth. The person who needs it does not. That gap - measured in hours, tickets, and polite Slack messages to an engineer - is the exact problem Polytomic was built to close.
Polytomic is a San Francisco company that moves business data from where it sits to where it's needed. That sounds modest until you notice how much of modern software is just that: copying rows from one place to another, correctly, on time, forever. Warehouses to CRMs. CRMs to warehouses. Databases to spreadsheets to APIs and back. Most companies solve it with a patchwork of scripts, cron jobs, and one brave engineer who understands the whole mess. Polytomic replaced the patchwork with a single platform.
The company's own description is refreshingly un-grand: bidirectional ETL and data syncing. Under that plain label sits something genuinely useful - one product that does ETL (pulling data into the warehouse), Reverse ETL (pushing it back out into the tools people actually use), and CDC streaming (syncing only what changed, in near real time). Buy those as three separate tools and you have three bills, three dashboards, and three ways for a sync to break at 2 a.m. Polytomic's bet was that they belong together.
Data flows both directions through the same platform. Pull from SaaS apps into the warehouse for analytics; push warehouse data back into operational tools so every team works from live numbers. Change data capture keeps it incremental - only what changed moves.
The problem wasn't theoretical for the people who started the company. Ghalib Suleiman and Nathan Yergler met the data-access problem the hard way, at the construction-software company PlanGrid, where getting the right numbers to the right team too often meant a human doing it by hand. They left in 2018, and in 2019 launched Polytomic to automate the chore that had eaten their days.
It is a familiar shape of startup - engineers who lived a pain and decided to sell the cure - but the details are telling. PlanGrid's own founders, Tracy Young and Ralph Gootee, put their own money into Polytomic's seed round. When the people who built the company where you first hit a problem back you to go solve it, that is a specific kind of endorsement.
Polytomic went through Y Combinator's Winter 2020 batch and, in February 2021, announced a $2.4 million seed round led by Caffeinated Capital with participation from Bow Capital and Y Combinator. Total funding sits around $2.5 million - a deliberately small number for the scope of what got built. Constraint has a way of forcing focus, and the focus here was ruthless: make data movement reliable, make it work both ways, and make it usable by people who don't write SQL.
Previously at PlanGrid, where the data-access problem first surfaced. Leads Polytomic's product and go-to-market. Public contact for the company.
Also ex-PlanGrid. Owns the engineering behind syncing millions of records across systems without brittle pipelines.
RevOps, marketing, and customer success configure syncs with a point-and-click UI - no engineering ticket required. Data engineers get SQL, logging, monitoring, an API, and a Terraform provider. Both sides win from one tool.
Push Snowflake, BigQuery, or Databricks data into Salesforce, HubSpot, and NetSuite so business teams act on live numbers.
Pull data from SaaS apps, databases, and HTTP APIs into the warehouse for analytics and BI.
Change data capture syncs incrementally, enabling near real-time movement at scale without full reloads.
Keep two systems continuously aligned in both directions with conflict-aware syncing.
Programmatic control of connections and syncs, versioned like the rest of your infrastructure.
Field mapping and SQL transformations in a visual interface - built for teams without engineers on call.
"After adopting Polytomic, Convictional could set up customer data feeds directly into HubSpot without any engineering support."
Enterprise buyers of data infrastructure ask three questions before anything else: is it secure, is it reliable, will it scale. Polytomic answers with the unglamorous credentials that matter - SOC 2, GDPR, CCPA, and HIPAA compliance, role-based access control, audit logs, multiple workspaces, and self-hosted deployment for teams that won't let data leave their own cloud.
The reliability story is quieter but shows up everywhere reviewers talk about the product. What comes up again and again is not a flashy feature - it's the support. Sub-minute response times. Robust error logs. A team that treats a broken sync as their emergency, not yours. In a category where the worst outcome is silent data corruption, "we noticed and fixed it before you did" is the whole value proposition.
It puts Polytomic in a crowded, serious neighborhood. Hightouch and Census compete on Reverse ETL; Fivetran, Stitch, Airbyte, and Meltano compete on the ETL side. Polytomic's angle is the seam between them - one platform that does both directions, rather than making customers stitch two categories together. Whether that consolidation wins the market or simply serves a loyal slice of it, the bet is coherent: fewer vendors, fewer failure points, one place to look when data goes sideways.
Return to the customer-success manager and the Salesforce record that was wrong. In a company running Polytomic, the record isn't stale - the warehouse's answer arrived hours ago, quietly, as one more field that just appeared where it was needed. No ticket was filed. No engineer was interrupted. The manager never learned the plumbing existed, which is exactly the point.
That's the strange ambition of an infrastructure company: the highest compliment is being forgotten. Polytomic moves millions of records between systems that were never designed to talk, and its best days are the ones nobody notices. Two engineers got tired of being the pipeline. So they built one that runs itself - and handed everyone else their library card.