Deployed in your cloud · 2026
Live · production data platforms running today
Be AI‑ready
in weeks,
not months.
Day 1 · LiveLakehouse, ready
BRONZE
Raw, exactly as it arrived
events_2026_05.jsonSILVER
Cleaned, deduplicated, joinable
fact_orders · dim_customerGOLD
Modelled, business-ready
revenue_by_region · churn_30dBronze → Silver → Gold · production-grade · auto-scaling
AI · out of the boxTrained on your gold
GOLD
DECISIONS
0.91 · buy intent
Decision engine
PREDICT
38ms · p95
Inference API
ASK
Top product? Rogue
Natural-language
Decisions · predictions · chat. Without a separate ML team
You own everythingNo vendor lock-in
AWS
Azure
GCP
On-prem
Open standards
Open formatsOpen SQLOpen streamsOpen transforms+300 sources
Deployed in your VPC · open-source under the hood · export anytime
Antvia 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.
¼
the cost & time of building it yourself
2–0 wk
to first live dashboards on your real data
0
senior data engineers you need to hire
0%
open source, the platform is yours to keep
What is antviaA data lakehouse,
A data lakehouse,
already built.
Five source types in. Three modelled layers in the middle. Five consumer surfaces out. Everything in between is built.
Two journeys9–10 months.
9–10 months.
Or three weeks.
Same outcome. Two drastically different paths to get there. The chart below is drawn to scale.
M0M3M6M9
Build it yourself
9–10 months
HireEvaluateArchitectBuildStabilise
With antvia
~3 weeks
Connect · transform · ship← from this point on, every additional month is yours to spend on outcomes, not infrastructure
0
senior engineers to hire
0
throwaway proof-of-concepts
Week 1
first dashboards live on your data
80+
production metrics already validated
Side by side
Where the months actually go.
Build it yourself9–10 months · $300–500k
With antvia2–4 weeks · ~¼ the cost
9–10 months
before first live data
Time
2–4 weeks
to first dashboards
3–5 engineers
found, hired, ramped
Senior hires
0
Woodfrog brings the team
$300–500k
salaries · POCs · rework
All-in cost
~¼ of that
predictable, fixed
Unknowns surface in production
found expensively
Risk
Already proven
80+ metrics validated
You own it
and you maintain it
Ownership
You own it
Woodfrog runs it · export anytime
~8 months and ~$300k saved. Same outcome — sooner, cheaper, and you start at the finish line.
The proof80+ metrics.
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.
80+
benchmarking metrics across every stack layer
7
open-source tools validated at production scale
1TB+
query benchmarks on realistic workloads, not toy data
¼
the cost vs. building it yourself, with numbers to back it