Why Huawei Cloud DLI?
All in SQL
With multi-model engines, DLI makes big data analysis accessible to those without a big data background — all you need is knowledge of SQL. It is fully compatible with Apache Spark, Apache Flink, and Trino ecosystems and interfaces, and offline applications can be effortlessly migrated to the cloud. One set of resources can handle multiple types of computations, including stream processing, batch processing, and interactive analysis.
Elastic Resource Pool
The resource pool is flexible and can quickly adjust to fluctuations in demand for offline, real-time, and interactive resources. It also supports job-level priority and integrates with DataArts Studio for streamlined operations, ensuring the timely completion of critical tasks.
Lakehouse
DLI incorporates the Hudi data lake format for analysis and supports a unified solution for multiple engines, such as Spark and Flink. It also allows for real-time data ingestion and lakehouse analysis using SQL.
Cross-Source Analysis
DLI supports multiple data formats and can analyze data from various sources, such as cloud, on-premises databases, and offline databases, without requiring data migration. This allows for the creation of a unified view of enterprise data, empowering businesses to rapidly innovate and unlock the value of their data.
Valuable Data Insights for Any Scenario
Continuous Service Innovation with Tens of Thousands of Customers
Continuous Service Innovation with Tens of Thousands of Customers
More Services
More Services
MapReduce Service (MRS)
Run open source analytics workloads on high-availability big data clusters
Cloud Search Service (CSS)
Query accurately by multiple conditions
Data Warehouse Service (DWS)
Give your warehouse market-leading performance, superlative stability, and on-demand scaling