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One-Stop Big Data Solution with Unified Data Storage and Service

  • ULTIMATE PERFORMANCE

    Real-time ingestion with throughput as high as hundreds of millions of records per second. Query PBs of data in sub-second latency.


  • LOWER COST

    Disaggregated compute and storage, scale resources up and down according to your business needs. Unified realtime and offline storage.


  • HIGHLY AVAILABLE AND RELIABLE

    Data is replicated in multiple copies by default, keep your data service always on.


  • Multi Cloud: Deploy on Kubernetes

    Massively Parallel Processing (MPP) of SQL queries with C++ native engine enables high resource efficiency, and results in sub second latency.


  • POSTGRESQL COMPATIBLE, EASY TO USE

    Compatible with PostgreSQL 11. Easily connect to BI and ETL tools (like Tableau, QuickBI, etc) via JDBC.


  • DIVERSE DATA ACCESS PATTERN

    Supports row and column storage, meets your diverse query requirements such as: Point-Lookup Query (Hundreds of millions per second), Complex Analytical Query (Massive parallel processing), and Ad-hoc Query (No data migration).

Key Functions & Features
  • High ThroughputIngest real-time and batch data at extremely high throughput
    (hundreds of millions of RPS)
    Data ingested is immediately queryable
  • Compatible with PostgreSQLReuse all existing PostgreSQL tools without any migration
    Leverage existing rich PostgreSQL extensions
  • Fast Point-LookupExtremely fast point-lookup
  • Low LatencyQuery PB-scale data in sub-second latency
    Maximizing business values with multi-dimensional interactive analytics
  • BI NativeSeamlessly connect to your favourite BI tools, like Tableau, PowerBI, Qlik, AWS Quicksight, via JDBC/ODBC
  • High ConcurrencyRun hundreds of large queries at the same time without compromising query performance or interfere with each other
  • Schema EnforcementValidate your input data for free
    Get no surprise when retrieving and using your data
  • Built-in CDC (alpha)Ultimate simplicity
    Replicate your production OLTP database to Hologres directly for OLAP without any middleware required
  • Upsert At-Scale As You WishUpdate and delete data at-scale with strong consistency
  • Flexible DeploymentCloud-Native
    Minimum deployment dependency
    Run anywhere: single machine, bare metal, Docker, Kubernetes
  • Horizontally ScalableNo performance bottlenecks, scales linearly, single instance over 10,000 cores
  • Battle TestedWhile handling 130 million real-time data records per second during Alibaba 11.11 Global Shopping Festival in 2019, Hologres returned 99.99% of queries within 130ms. Single largest table over 2.5PB
Typical Architecture
Next Generation Data Warehouse for Unified
Data Storage and Data Services