Huawei Cloud Data Lake Insight review
A managed SQL, Spark, and Flink service for cross-source lakehouse analytics.
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Huawei Cloud Data Lake Insight (DLI) is a fully managed, serverless data processing and analytics service for teams working across cloud, on-premises, and open-source data systems. It combines Standard SQL and Spark SQL querying with managed Apache Spark for batch workloads and real-time Flink for stream processing. DLI is suited to organizations that need cross-source analysis, lakehouse table support, metadata catalogs, and BI connectivity in one cloud service. Its support for CSV, JSON, Parquet, and ORC also fits mixed data environments.
The published plans show two paid options. Pay-per-use compute bills resources by CUH, so charges follow resource usage. The 4,000 CUH package provides a prepaid usage quota of 4,000 CUHs. The listed starting price is 0.0925, while billing can vary by region and resource type. This model gives buyers a choice between usage-based billing and a prepaid allocation, but teams should assess workload patterns before selecting a package. The verified starting price is higher than several alternatives, which may matter for budget-sensitive evaluations.
DLI’s ecosystem fit is a central strength. It connects with OBS, RDS, DWS, CSS, CloudTable, DIS, MRS, SMN, DCS, Kafka, HBase, Elasticsearch, LakeFormation, DataArts Studio, and BI tools, with JDBC, API, SDK, console, and BI-tool connectivity. LakeFormation and DLI metadata catalogs, Hudi and Delta support, elastic resource pools, autoscaling, and table-, database-, and column-level permissions add depth for governed analytics. Choose DLI when cross-source Spark and Flink processing is the priority; consider alternatives if a non-cloud deployment model or a lower starting price is more important.
Questions about Huawei Cloud Data Lake Insight
What does Huawei Cloud Data Lake Insight run on? Web. It runs in the cloud.
What does Huawei Cloud Data Lake Insight integrate with? 15 integrations, including OBS, RDS, DWS, CSS and CloudTable.
Who is Huawei Cloud Data Lake Insight built for? Mid-market companies and enterprises (our editorial estimate).
Huawei Cloud Data Lake Insight pros and cons
- Where it wins
- Combines SQL, Spark, and real-time Flink processing
- Queries data across cloud, on-premises, and open-source systems
- Supports catalogs, lakehouse formats, autoscaling, and access controls
- Where it doesn't
- Cloud deployment limits it for teams requiring another deployment model
- Pricing varies by region and resource type
- Its verified starting price is higher than several alternatives
Huawei Cloud Data Lake Insight fact sheet, pricing and score →
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