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.
Under the hood of Gamblitude
