Peformance of Singdata Lakehouse's Single-Engine

In the fast-paced world of data management, where efficiency and speed are paramount, Singdata Lakehouse emerges as a game-changer. With its cutting-edge simplified and unified engine(Single-Engine), it promises to revolutionize the way enterprise's data team approach data processing and analysis. This blog post will explore single-engine, its benefits in unifying batch and streaming data processing, its remarkable performance advantages, and why it stands out as a superior choice compared to other vendors.

What is a Single-Engine?

At the heart of Singdata Lakehouse lies its simplified and unified engine, a singular, powerful system designed to streamline data operations. Unlike traditional data engines that segregate batch processing from real-time data streams, Singdata's single-engine integrates these functionalities seamlessly. This integration ensures that all data, regardless of its origin or nature, is processed through a single, coherent framework.

This holistic approach simplifies the architecture of data pipelines, reducing the complexity that often plagues conventional systems. With fewer moving parts and a unified protocol, CTOs and IT managers can achieve a higher degree of operational efficiency. This streamlined system also means fewer resources are required for maintenance, leading to significant cost savings.

Furthermore, the single-engine's ability to handle diverse data types and sources without requiring multiple engines or systems is a significant advantage. It empowers organizations to harness their data's full potential without the usual constraints, making the holistic unified engine a pivotal component of modern data infrastructure.

Unifying Batch and Streaming Data Processing

One of the most compelling features of Singdata Lakehouse's unified engine is its ability to unify batch and streaming data processing. This capability is crucial in today's data-driven environment, where businesses need to process and analyze data in real-time while also managing large volumes of historical data.

Traditionally, batch processing and streaming are handled by separate systems, each with its own set of tools and protocols. This separation can lead to inefficiencies, data silos, and synchronization issues. Singdata's unified engine eliminates these problems by allowing both batch and streaming data to be processed within the same framework.

This integration facilitates real-time analytics and insights, enabling businesses to respond swiftly to changing market conditions and customer behaviors. For instance, an e-commerce platform can use real-time data to tailor personalized recommendations while analyzing historical purchase patterns to identify long-term trends. The unified engine ensures that both types of data work together harmoniously, delivering a comprehensive view of business operations.

Additionally, the seamless integration of batch and streaming data processing reduces the need for extensive data transformation and movement between systems. This reduction not only enhances efficiency but also minimizes the risk of data loss or corruption, ensuring the integrity and reliability of the insights derived from the data.

The Performance of Single-Engine

Performance is a critical factor when evaluating any data engine, and Singdata's single-engine excels in this area. It offers unparalleled speed and efficiency, making it an ideal choice for organizations that require high-performance data processing.

Vectorized execution engine w/ native code and leveraging latest chip instruments like SIMD/AVX512

• With half the computing resource cost of BigQuery, Singdata is 8.8 times faster than Vendor B on average on the TPCH-100GB/TPC-DS 1TB/TPC-DS 10TB test sets.

• With same workloads, Yunqi is about 18% of the cost of BigQuery Standard Edition and 12% of the cost of BigQuery Enterprise Edition.

Learn our customer's case for reference.

Get Full Report

To gain a deeper understanding of how Singdata can transform your data operations and to see detailed performance benchmarks, we encourage you to contact us and access the full report.