One platform that does all of it. Built by people who’d been forced to use four.
Etlworks is the data integration platform built around a simple idea: most teams shouldn’t need separate tools for ETL, real-time CDC, reverse ETL, file integration, EDI, and custom APIs. We built one engine that does all of them, and a workspace that doesn’t ask you to pick which one before you start.
Etlworks has been running production data pipelines for enterprise customers for over 10 years. The numbers below are from real customer deployments, not lab benchmarks.
500B+
records/month for our high-volume customers
99.999%
availability for our largest production deployments — five nines
3,979
pre-built templates covering known source-destination pairs
270+
connectors to databases, warehouses, SaaS apps, files, and APIs
Customer evidence: see customers for the full list — including OpenGov, NBCUniversal, Universal Music, and Tallink.
Our story
Founded by an engineer who got tired of the iPaaS shell game.
Maksym Sherbinin started Etlworks in 2014 — first as an open-source ETL framework picked up by teams at Marketo, the Bank of New Zealand, and dozens of others. He’d spent a decade building data pipelines at companies that all bought multiple specialized iPaaS tools — one for ETL, one for CDC, one for reverse ETL, one for file integration. The vendors all promised they’d be “the one tool you need.” None of them were.
What we built differently
Four architectural choices that matter.
Etlworks looks different from competitors because we made different decisions early. These are the four that buyers ask about most.
Choice 1
One platform, all flow shapes
Most competitors specialize — Fivetran on connectors, Matillion on Snowflake-native ELT, Airbyte on open source. Etlworks is intentionally unified: ETL, ELT, real-time CDC, reverse ETL, file integration, EDI, custom APIs. All on one engine.
Cost: the platform is more complex to build and explain. Benefit: no sprawl across vendors. One audit trail. One contract. One platform to learn.
Choice 2
Cloud, hybrid, AND on-premise
Most modern iPaaS is cloud-only. Etlworks runs anywhere — including fully air-gapped on-premise environments. Same engine, same features, no functionality gaps across deployment models.
Cost: we maintain on-prem releases alongside cloud. Benefit: regulated industries — public sector, healthcare, financial services — can use the same platform that everyone else does.
Choice 3
No data persistence by default
Most iPaaS persists your data while moving it through their pipes. We don’t. Data flows through Etlworks; it doesn’t stop here. Audit metadata is retained, but the data itself isn’t ours to keep.
Cost: some integration patterns are slightly harder to support. Benefit: security questionnaires get easier. See security details →
Choice 4
AI as the workspace, not a bolt-on
Many competitors added “AI features” in 2024-25 — auto-suggestions, generated SQL, chat sidebars. We rebuilt the entry experience around it instead. Composer is where most new flows now start; Simba does the typing.
Cost: a meaningful UI rewrite. Benefit: new users ship working pipelines on day one. See Composer →
Leadership
Built and run by engineers.
A small team of people who’ve spent their careers in data infrastructure.
Maksym Sherbinin
Founder & CEO
Built the first version of Etlworks. Decade-plus background in enterprise data integration. Still writes the hard parts of the engine.
Artem Avdonin
Co-founder & CTO
Co-architected the cloud platform from day one. Owns the engine, the agent, and the team building both.
Olena Sherbinin
Sales & Marketing
Runs everything customer-facing. The reason your sales call doesn’t feel like a sales call.
Honest scope
What Etlworks isn’t.
Three things we deliberately don’t try to be. Knowing what we’re not is part of how you can trust what we say we are.
We’re not the cheapest
Consumption-priced tools win on small workloads with simple needs. Etlworks wins on production — when the cost of a 3am pipeline failure exceeds the cost of the platform.
We don’t do BI or visualization
We move data; you visualize it. Bring your own Tableau, Looker, Power BI, or whatever your team already uses. We just make sure the data is where it needs to be, on time, with audit trail.
We don’t replace data engineers
Simba helps; it doesn’t lead. Multi-system distributed transactions, novel architectures, regulatory-grade audit chains — those still need people. We make those people 5× faster.
Talk to us.
Whether you’re evaluating, comparing, or just curious — we’d rather have a real conversation than send you another marketing email.
