Data Query
It leverages the open source Apache Arrow in-memory columnar format and FlightSQL protocol to provide very fast SQL query response performance for large datasets.
High Performance OLAP Engine
The real-time query capacity of more than 100 million units alone is more than 20 times faster than a regular DB, and it has overwhelming performance, especially when processing large amounts of time series data.
High-performance search with just one device
One low-cost server queries more than 100 million time series data per second in real time.
Large queries
Big data can be processed more than 20 times faster than a regular DB, making it optimized for large queries.
Time series optimization
It is optimized for time range search and aggregation, and shows the same or better performance than time series databases.
Various Analyses Support
Developed based on the DataFusion query engine, it supports standard SQL and can analyze various streaming and external databases simultaneously. It can be easily used in BI and AI/ML through various interfaces.
DataFusion query engine
It was developed based on the DataFusion open source query engine, which is advantageous for column-by-column analysis, and efficiently utilizes the Arrow in-memory format and supports standard SQL.
Heterogeneous data analysis
In addition to Kafka streaming, external databases such as PostgreSQL and MySQL and Nazare tables are simultaneously loaded and analyzed in a single SQL statement.
Support for various interfaces
It supports ADBC-style high-performance interfaces, easy and fast REST methods, as well as legacy interfaces such as JDBC and DB-API, so it can be easily used in various BI and AI/ML. Real-time data can also be read via Kafka and MQTT.