Great analytics needs the right foundation.
For us, that means using a cloud-native Lakehouse architecture – built to handle the scale, speed and complexity of iGaming data.
Every day, operators generate huge volumes of events: bets, sessions, deposits, logins, conversions, campaigns.
These events come from different systems, at different speeds, in different formats.
To make sense of that, and to keep the platform fast, flexible and cost-efficient, you need the right stack underneath.
Here’s what we rely on at Gamblitude:
– Columnar storage, which makes queries fast and efficient, even with billions of rows
– Streaming ingestion, so new data is available in seconds, not hours
– Serverless compute, which scales automatically and keeps infrastructure lean
– Multiple ingestion paths, including API and message brokers like Kafka
This setup lets us process data as it flows in – without waiting for daily batches or locking ourselves into rigid pipelines.
It also lets us do something most platforms can’t: keep and use raw, unaggregated data.
Instead of storing just summaries, we retain full event-level history which is essential for building accurate ML models and dynamic behavioural logic.
We treat this foundation not as an internal detail, but as a key product choice.
Because if your data stack can’t keep up with the business, your analytics won’t either.
Explore the data warehouse architecture and business intelligence platform for the components behind this overview.
