Say Goodbye to Traditional Architecture Pain Points: How GBase HD Builds a New Enterprise Big Data Foundation?

Published on 2026-06-05

"Data is the new oil" — every enterprise is asking: How should I manage my data?

Core Pain Points in Enterprise Data Management

Technology has evolved from data warehouse to data lake to lakehouse, but the core demands of enterprises have never changed:

01 Scattered Data

Business databases, logs, Excel files, message queues… Like LEGO bricks scattered on the floor, they just can't be pieced together.

02 Hadoop Is Hard to Operate

100+ open-source components make your head spin — easy to set up, impossible to afford, and a nightmare to maintain.

03 Batch and Real-Time Are Siloed

T+1 reports are always half a beat too slow, real-time dashboards require a whole new system — double the cost for two separate systems.

04 Tightly Coupled Storage and Compute

Need more storage? Add disks. Need more compute? Add servers. Resource utilization is always a mystery.

What enterprises really need is a big data platform that can store, compute, and is easy to manage.

GBase HD: An All-in-One Big Data Foundation Platform

GBase HD is an all-in-one big data foundation platform developed by GBASE, integrating the core capabilities of the Hadoop ecosystem with the self-developed MPP database GBase 8a. It covers the entire chain from ingestion → storage → computing → management → application.

Traditional Hadoop is like a self-assembly toolbox — it has everything but you have to put it together yourself. GBase HD, on the other hand, is a ready-to-use "data processing super workstation" out of the factory.

  • Ingest: Multi-source data into the lake

  • Store: HDFS distributed storage, separation of storage and compute

  • Compute: MR + Spark + Flink unified batch and streaming

  • Manage: Multi-tenancy · quotas; monitoring · visualized operations

  • Use: Federated queries, data warehousing · BI integration

Four Key Differentiators

Separation of Storage and Compute — Stop Paying for Idle Resources

Storage nodes focus on storing, compute nodes focus on computing — scale each independently as needed. Also supports HDFS on S3 object storage, further reducing costs.

Unified Batch and Streaming — Tackle Both Offline and Real-Time Simultaneously

Whether it's T+1 or real-time, one platform covers it all (All in SQL).
Built-in multi-model compute engine matrix eliminates the need for two sets of code and two sets of operations:

  • MapReduce Engine

Disk-level offline processing for large-scale ETL scenarios.

  • Spark Engine

Memory-level micro-batch processing for interactive analytics scenarios.

  • Flink Engine

Memory-level real-time streaming for real-time reporting / risk control scenarios.

Four-in-One Lakehouse Formats — No Need to Choose

Native support for all four mainstream lakehouse formats — Hive, Iceberg, Hudi, and Paimon — coexisting and interoperable on the same platform.

Self-Developed MPP Integration — Warehouse-Lake Convergence Is Not an Empty Promise

Many big data platforms on the market are essentially just Hadoop distributions. GBase HD is different — the self-developed MPP database GBase 8a is deeply integrated:

  • One SQL query across both data lake and data warehouse

  • GBase 8a for heavy OLAP analysis, Spark/Flink for historical/full data exploration

  • Efficient data flow between engines, eliminating data silos

Visualized Operations Experience

Anyone who has used native Hadoop knows the drill — typing commands until your fingers ache, tweaking configurations until your eyes blur. GBase HD takes user experience seriously:

  • Marketplace Services

30+ mainstream components covering the full tech stack, all adapted and verified — deploy with a single click. No more hunting for versions, resolving dependencies, or stepping on pitfalls.

  • Cluster Overview

Service running status, version numbers, one-click start/stop, key metrics — CPU, memory, disk, components — all visualized.

  • Component-Level Monitoring

Go deep into each node's heap memory, block count, etc., so when production issues arise, you can rely on data.

Every component comes equipped with a health check dashboard and remote control.

Summary

The big data space doesn't lack concepts or products — what it lacks is an all-in-one platform that truly understands enterprise needs, can be implemented effectively, and is easy to operate. GBase HD's approach is crystal clear:

No Reinventing the Wheel

Embrace the Hadoop ecosystem and provide enterprise-grade packaging.

No Abandoning Self-Development

20 years of MPP expertise integrated into the platform, creating differentiation.

No Technology for Technology's Sake

Built around real-world scenarios of ingest, store, compute, manage, and use.

Leave No Blind Spot

Offline, real-time, lakehouse, federation — none can be missing.

The ultimate goal of data management is not to show off technology, but to let data truly create value!