Case Study: Kyligence achieves petabyte-scale, subsecond big-data analytics with Microsoft Azure

Big-data analytics startup creates petabyte-scale analytics solution with ultrafast query results

Kyligence is a data‑intelligence startup (founded 2016) that builds on Apache Kylin to deliver petabyte‑scale analytics for enterprises. The company needed to give business users fast, self‑service BI (Power BI, Excel) and near‑real‑time streaming insights without custom programming, while cutting query times from days or weeks to seconds and keeping costs and operational overhead low.

Kyligence deployed its Analytics Platform on Azure, loading data from Blob or Data Lake into Hive, pre‑calculating OLAP cubes and integrating with Kafka for streaming ingestion. This cube‑based approach delivers subsecond query latency at high concurrency (thousands of results per second), claims up to 100× faster performance than Hive, and interoperates with standard BI tools—resulting in faster decisions, lower IT cost, and scalable global delivery backed by a Microsoft partnership.

Kyligence

Luke Han

Co-Founder and Chief Executive Officer