1 dépôt
Systems that consume streaming events to create unified, queryable SQL views.
Distinct from Event Stream Aggregators: Distinct from Event Stream Aggregators: focuses on building persistent, queryable SQL stores rather than just presenting event streams.
Explore 1 awesome GitHub repository matching data & databases · Aggregate Store Builders. Refine with filters or upvote what's useful.
Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Consumes events from streaming sources to create a unified, queryable SQL view across microservice architectures.