GBase HD: Your Data Platform Shouldn't Be a Box of Loose Parts — It Should Be a Plug-and-Work Factory

Data is everywhere — transactional databases, logs, Excel spreadsheets, message queues. Different formats, different standards. Like a spilled box of Lego bricks — you can't build anything with them. The Hadoop ecosystem offers hundreds of open-source components, but with version conflicts, tangled dependencies, and complex configurations, these systems are easier to set up than to run — and even harder to maintain. Offline batch processing is stuck with T+1 latency. Real-time dashboards require a separate stack. Two systems, two codebases — double the operational overhead. Need more storage? Add disks. Need more compute? Add nodes. Resource utilization remains a black hole.

What enterprises actually want isn't more technology. It's a data platform that works — one that delivers results without endless tinkering. GBase HD solves these persistent challenges in one integrated platform.

Why Is Your Data Platform Always "Under Renovation"?

The technology landscape has evolved from data warehouses to data lakes to lakehouse architectures — each wave promising more, yet complexity keeps growing. But the core pain point for enterprises hasn't changed: data is still hard to manage, and the platform never quite works smoothly. The root cause? Most big data platforms are essentially a loose collection of open-source components. Each piece looks good on its own, but together they become a never-ending construction project. Companies spend far too much time assembling frameworks, juggling versions, and fixing compatibility issues — and far too little time actually extracting value from their data.

GBase HD takes a different approach: stop asking enterprises to assemble their own platforms. Instead, deliver a data processing workstation that's ready to use from day one.

What Is GBase HD?

GBase HD is a comprehensive big data platform from GBASE that deeply integrates the core capabilities of the Hadoop ecosystem with GBase 8a, GBASE's in-house MPP database. It covers the complete data lifecycle — from ingestion and storage to computation, management, and application.

In essence: the breadth of the Hadoop ecosystem, combined with the depth of a purpose-built MPP engine — all in one platform.

Four Enterprise Pain Points — and How GBase HD Solves Them

Pain Point 1: Data Silos — Can't Connect the Dots

Transactional databases, logs, Excel files, message queues — data lives everywhere, in incompatible formats. Unified analytics requires spending half your time just moving and reformatting data.

How GBase HD solves it: GBase HD provides a unified data ingestion and storage layer. Multi-source data can be loaded into the data lake with a single click. No matter where your data resides, you can manage it through a single platform.

Pain Point 2: Hadoop Is a Nightmare to Operate

Over 100 open-source components, version conflicts, dependency hell, and endless configuration tweaks. Getting it up and running is already difficult — day-to-day operations is exhausting.

How GBase HD solves it: GBase HD takes 30+ core components, packages them with enterprise-grade validation, and delivers one-click deployment. No more hunting for compatible versions, wrestling with dependencies, or falling into compatibility traps.

Pain Point 3: Batch and Real-Time Are Separate — Double the Cost

T+1 batch reports and real-time dashboards run on two separate systems with two separate codebases — double the operational overhead.

How GBase HD solves it: GBase HD embeds a multi-engine compute layer — MapReduce for large-scale ETL, Spark for interactive analytics, and Flink for real-time reporting and risk control. One platform handles both batch and real-time workloads, all accessible via SQL. Say goodbye to the nightmare of maintaining two codebases and two operations teams.

Pain Point 4: Coupled Storage and Compute — Wasted Resources

When storage and compute are tightly coupled, adding compute capacity requires adding storage you don't need, and vice versa. Resources are constantly wasted.

How GBase HD solves it: GBase HD implements storage-compute separation — storage nodes handle storage, compute nodes handle computation, and each scales independently based on actual needs. Native support for HDFS on S3 object storage further reduces storage costs. Need more compute? Add compute nodes. Need more storage? Add storage nodes. No more cross-subsidizing one with the other.

More Than Storage and Compute — Built for Operations

Anyone who has worked with native Hadoop knows the pain: typing endless command lines, drowning in configuration files. GBase HD transforms operations with:

• Cluster overview at a glance — service status, CPU, memory, disk, and key component metrics, all visualized.

• Component-level monitoring — granular metrics down to each node's heap memory, block count, and more. Data-driven troubleshooting, not guesswork.

• Every component comes with its own "health monitor" and "remote control."

Lakehouse Architecture — Not Just a Buzzword

The MPP Is the Game Changer

Many big data platforms on the market are essentially Hadoop distributions — lots of components but little deep integration. GBase HD is different: the in-house MPP database GBase 8a is deeply embedded into the platform.

• Native support for Hive, Iceberg, Hudi, and Paimon — all four lakehouse formats coexist and interoperate on a single platform.

• Whether you're migrating from a traditional data warehouse or building an open-format data lake, one platform covers it all.

• GBase 8a handles heavy OLAP workloads, while Spark and Flink manage historical data and full-scale exploration. Data flows seamlessly across engines — real lakehouse architecture, not just a PowerPoint concept.

In a provincial transportation digital transformation project, GBase HD and GBase 8a were used to build a unified lakehouse foundation, establishing a data service platform with consistent data standards and stable near-real-time synchronization pipelines. The lakehouse architecture integrated the province's entire transportation data landscape, providing a unified data foundation for the transition from digitization to intelligent decision-making.

GBase HD's philosophy is simple: don't reinvent the wheel, but don't settle for shallow component assembly either. It brings together the breadth of the Hadoop ecosystem, the depth of two decades of MPP R&D, and the thickness of enterprise-grade delivery — all in one platform. Batch, real-time, lakehouse, federation — nothing is left out.

The ultimate goal of data management isn't to show off technology. It's to make data truly valuable. GBase HD is built precisely for that purpose.