Indexing
Create flexible indexes
Harness multiple indexing options to analyze your data any way you want. StarTree supports a wide range of index types that you can apply to any column, letting you analyze your data flexibly and easily.
Increase query throughput and improve compute efficiency
Support diverse use cases with flexible indexing options
Improve query performance with dynamic tuning
Immediately index your data
Optimize query performance and cost with comprehensive indexing options
Unlock timely and accurate insights from your data in motion and power your real-time analytics application.
Vector Index
Quickly and efficiently search lookups on high-dimension vector data with StarTree. Ideal for use cases around GenerativeAI (GenAI), Retrieval Augmented Generation (RAG), chatbots and Natural Language Processing (NLP), and recommendation systems.
Star-Tree Index
Build an intelligent materialized view for pre-computing certain aggregations for a wide range of dimension filters while improving query latency and query throughput. Star-Tree Index, unique to Apache Pinot, provides an innovative way to control the degree of materialization, thus allowing the user to trade off query latency versus storage overhead.
JSON Index
Handle structured and semi-structured data while enabling extremely fast query processing on highly nested JSON columns. Users can analyze free structured JSON or text documents and ingest nested JSON columns as-is — without needing to preprocess or transform them in any way.
Text Index
Perform powerful text search queries on arbitrary text data by configuring a Text Index to accelerate query processing.