Best Columnar Databases for Mid Size Business - Page 2

Pinot is engineered to efficiently handle OLAP queries with minimal latency on static datasets. It incorporates various pluggable indexing methods, including Sorted Index, Bitmap Index, and Inverted Index. While it currently does not support joins, this limitation can be addressed by utilizing Trino or PrestoDB for query execution. The system features an SQL-like language that accommodates selection, aggregation, filtering, grouping, ordering, and distinct queries on the dataset. It consists of both offline and real-time tables, with real-time tables utilized specifically to address segments lacking available offline data. Additionally, users can tailor the anomaly detection process and notification system to accurately identify relevant anomalies. This flexibility ensures that users can maintain high data integrity while effectively managing their analytical needs.