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  • Evolution of the Real-time Data Warehouses of the Alibaba Search and Recommendation Data Platform

    This article shares the results of some explorations into real-time data warehouses by the R&D team from the Alibaba Search and Recommendation Data Platform. It focuses on the evolution and best practices for data warehouses based on Apache Flink and Hologres.

  • VLDB Paper: Hologres: A Cloud-Native Service for Hybrid Serving/Analytical Processing

    Hologres is a cloud native service for hybrid serving and analytical processing (HSAP). Hologres decouples the computation and storage layers, allowing flexible scaling in each layer. Tables are partitioned into self-managed shards. Each shard processes its read and write requests concurrently independent of each other. Hologres leverages hybrid row/column storage to optimize operations such as point lookup, column scan and data ingestion used in HSAP.

  • Product Value of Hologres, a Cloud-Native HSAP System

    In an era where more and more enterprises are embracing technology, the value of data is becoming increasingly important. This presentation is about a mainstream real-time data warehouse architecture, the pain points in its practice, and the benefits of an innovative cloud-native Hybrid Serving Analytical Processing (HSAP) system.

  • Comparing Apache HBase vs. Hologres

    In this blog we will make comparison between Hbase and Hologres from the perspective of Strategic positioning, Basic features, Polymorphic storage, Multiple sharding methods, Muti-level partitioning, and Bulkload feature etc.

  • Comparing Greenplum vs. Hologres

    In this blog we will make comparison between Greenplum and Hologres from the perspective of Strategic positioning, Basic features, Polymorphic storage, Multiple sharding methods, Muti-level partitioning, and Bulkload feature etc.

  • Data Warehouse, Data Lakes, What’s Next?

    In this blog, two experts from Hologres talk about the advantages that data warehouses and data lakes bring to handle large, complex architecture for businesses.

  • Comparing ClickHouse vs. Hologres

    In this blog we will make comparison between Clickhouse and Hologres from the perspective of Strategic positioning, Basic features, Advanced features, Reliability, Ease of use, Scalability, Operations and Maintenance (O&M), Costs and Scenarios etc.

  • What is the Next Stop for Big Data? Hybrid Service/Analytics Processing (HSAP)

    In this blog, we will explain the status quo of the big data landscape with some concrete examples, demonstrate problems , and the usage patterns we’ve observed. Then we’ll introduce a new architecture – HSAP(Hybrid Service/Analytics Processing), the reasons, designs and typical application scenarios.

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