Be AI‑ready
in weeks,
not months.
events_2026_05.jsonfact_orders · dim_customerrevenue_by_region · churn_30dAntvia is a production-grade data platform that would normally take nine to ten months and five senior hires to build. We've already built it, so you start at the finish line, at roughly ¼ the cost & time.
The platform your data team
would spend a year building,
delivered, ready to use.
Every modern business runs on data. Forecasting, customer analytics, operational reporting, and now the AI systems everyone is rushing to deploy, all of it depends on having clean, governed, trustworthy data in one place.
That “one place” is called a data lakehouse. Building one from scratch takes 9–10 months, a team of senior data engineers, and a tolerance for expensive mistakes. Most organisations underestimate it, and most projects over-run.
Antvia is that lakehouse, already built. Deployed into your cloud, connected to your sources, governed to your standards, typically inside a month. You get the outcome without the construction project.
Be AI-ready, fast
Every AI initiative needs clean, governed data underneath. Antvia is that foundation, without the months-long wait most organisations don't have.
¼ the time & cost
The expensive parts (evaluation, architecture, benchmarking, hardening) are already done. You pay for deployment and outcomes, not a rebuild.
No hiring required
The senior engineers you'd spend months recruiting are already on the team and available from day one. You don't need to become a data engineering organisation.
You own everything
Built entirely on open source: Iceberg, dbt, Trino, Superset. No lock-in, no per-seat pricing, no vendor holding your data hostage.
Production from day one
No stabilisation period. Antvia ships with the governance, monitoring, and operational runbooks already wired in, encoded from years of production use.
First value in weeks
First source connected in hours. First pipelines running in days. First dashboards live in weeks, not quarters.
Building a data platform
is genuinely hard.
We've already done it.
Every organisation that tries to build a modern data platform from scratch goes through the same five phases. Each phase takes longer than expected, costs more than planned, and requires expertise that is rare and expensive to hire. Antvia doesn't shortcut the process. We completed it, so you start at the finish line.
Hiring the right talent
Senior data engineers who know distributed systems are rare, expensive, and slow to onboard. You won't know what you don't know until the people who know it are on your payroll.
- 3–5 senior hires at significant salaries
- 2–4 months of recruiting & onboarding
- Knowledge gaps visible only after deployment
Evaluating the technology landscape
Each layer of the stack has 5–15 credible open-source options. Proper evaluation means benchmarks and failure-mode analysis, not reading documentation, and there is no single right answer.
- Months of engineering time on throwaway POCs
- Decisions made with incomplete information
- Architecture choices revisited later, expensively
Planning the architecture
Medallion layers, schema evolution, governance, orchestration, failure handling. These are architectural decisions that are easy to plan and very hard to validate without running them under real load.
- Weeks of architecture documents
- Designs that look right on paper, fail in practice
- Roadmap debates that delay building
Building, deploying, benchmarking
The gap between “working prototype” and “production system” is where most of the time and money actually goes. Connectors drop data under load. Queries that took 3 seconds take 3 minutes on real volumes.
- Months rewriting what should have been right first time
- Performance issues discovered in production
- Engineers debugging instead of building features
Starting to see results
Eventually the platform stabilises and dashboards load. But 9–10 months have passed, the original team is now a single point of failure, and the next feature round is scoped at another six months.
- A year+ before any business value lands
- Organisation now dependent on a handful of engineers
- Architecture already showing its limits
Technology already selected
Woodfrog has already done the evaluation, not theoretically, but with 80+ benchmarking metrics validated at production scale. We know which tool performs where, how costs scale, and where each fails.
- Zero evaluation time, the work is done
- Selection backed by 80+ metrics, not intuition
- No risk of a tool that fails at your scale
Architecture already proven
Medallion architecture, governance wiring, orchestration patterns, multi-client isolation, designed, built, and tested in production. Deployment scripts exist. Runbooks exist. You inherit the decisions, not the debate.
- No architecture planning phase
- Production-proven patterns, not theory
- Governance pre-configured, not a separate project
Engineers who know the stack
Woodfrog's team of ten engineers know this specific stack in depth, from running it in production, debugging its failure modes, and tuning its performance across multiple client deployments.
- No hiring, the expertise is already on the team
- No ramp-up, the team is already running the stack
- No expensive production surprises, we've hit them
Into action from hour one
First source connected in hours. First pipeline running in days. First dashboards live in weeks. Our deployment scripts don't just install, they configure for production, including the tuning that only matters when things get hard.
- First value in weeks, not months
- Production quality from day one
- No stabilisation phase
Results, not a roadmap
By the time a typical organisation is finishing their technology evaluation, Antvia clients have live dashboards on real data. The platform doesn't stabilise, it starts stable. The team doesn't ramp up, they arrive expert.
- Business value in the first month
- Stable from deployment, not after
- Team free to focus on outcomes, not plumbing
Side by side, in plain numbers.
The open source tools are free. The months it takes to assemble them into a working platform is not. Antvia is that time, already spent.
Best-in-class open source,
wired together, right.
No proprietary black boxes. Antvia is assembled from the most battle-tested open source projects in the modern data stack, the same tools Netflix, Uber and Airbnb run, configured and hardened for production from the first day. Your data flows through it like this:
80+ metrics.
One report.
We benchmarked every layer of the stack: query performance, connector reliability, concurrency, cost-per-TB, governance overhead. All at production scale. The full report is available on request. If you're evaluating whether to build or buy, this is the document to read first.