Hologres is compatible with the PostgreSQL ecosystem. It supports fast query and analysis of MaxCompute data, real-time queries on data as it is written, and federated analysis of real-time and offline data. This enables you to quickly build an enterprise real-time data warehouse.
- Real-time scenarios
Data is written and updated in real time. No batch processing is required, and data is visible immediately after being written. Hologres is natively integrated with Flink and Spark to support the development of high-throughput, low-latency, model-based, and high-quality real-time data warehouses. This meets the real-time requirements for business insights.
- Sub-second interactive analysis
Hologres supports sub-second interactive analysis of massive amounts of data without pre-computation. It supports multidimensional analysis, ad hoc analysis, exploratory analysis, and accelerated analysis of MaxCompute data. This provides a What You See Is What You Get (WYSIWYG) data analysis experience. Hologres uses vectorization and intelligent index optimization technologies to significantly improve performance and concurrency.
- Unified data service endpoint
A single engine supports various scenarios, such as multidimensional analysis, high-performance point queries, and data retrieval. It also supports load isolation, simplifies the data architecture, and provides unified data access interfaces and security policies.
- Open ecosystem
Hologres provides standard SQL interfaces and is compatible with the PostgreSQL 11 protocol. It seamlessly integrates with mainstream SQL development frameworks and supports more than 19 mainstream business intelligence (BI) tools without requiring application rewrites or additional training. Hologres also supports data lake scenarios and semi-structured data, such as JSON. You can easily import data from Object Storage Service (OSS) and Data Lake Formation (DLF) into data lakes and warehouses.
- MaxCompute query acceleration
You can quickly query and analyze MaxCompute data. Hologres seamlessly connects with MaxCompute, allowing you to query MaxCompute table data directly without importing or exporting it to obtain fast results. It also supports connecting MaxCompute to BI tools for interactive analysis scenarios.
- Storage-compute decoupled architecture
- Hologres uses a cloud-native architecture where storage and computing resources are deployed separately and can be scaled independently.
- It supports dynamic upgrades and downgrades. You can flexibly scale Hologres resources in or out as needed. More resources provide higher query concurrency.