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Apache Pinot™ is a database designed to deliver highly concurrent, ultra-low-latency queries on large datasets through a set of common data model abstractions. Delivering on these goals requires several foundational architectural commitments, including:
Storing data in columnar form to support high-performance scanning
Sharding of data to scale both storage and computation
A distributed architecture designed to scale capacity linearly
A tabular data model read by SQL queries
Learn about the major components and logical abstractions used in Pinot.
Discover the core components of Apache Pinot, enabling efficient data processing and analytics. Unleash the power of Pinot's building blocks for high-performance data-driven applications.
