Even Number Technology was selected in the 2021 AIAnalysis Data Intelligence Platform Vendor Panorama Report

Recently, China’s leading industrial digital research and consulting agency AiAnalysis officially released the "2021 AiAnalysis Data Intelligence Platform Vendor Panorama Report". The report selects data storage and processing, data governance, and data analysis according to the key processes of enterprise data management. It has conducted key research on 7 scenarios including visualization, graph analysis, machine learning model development, privacy computing, and database management, and selected representative vendors with mature solutions and landing capabilities in the data intelligence platform scenario.

Even Number Technology was selected as a representative vendor of "Data Storage and Processing" with its mature data intelligence solutions and landing capabilities. At the same time, the vendors included in the report include AWS, Alibaba Cloud, Huawei, Tencent Cloud, Microsoft and other well-known domestic and foreign companies.

Starting point for selection:

As data sources become wider and wider, data is scattered in different business systems and databases of the enterprise. Enterprises need to integrate complex multi-source heterogeneous data so that the data can be fully applied; at the same time, in order to solve the storage problem of massive heterogeneous data, enterprises need a more complete data storage solution to store multiple types and formats of data, and consider the data Storage scalability, reliability and other requirements.

The exponential growth of data volume has led to long data query response time and poor interactive experience. At the same time, the real-time requirements of enterprises for data processing are also increasing. Therefore, enterprises need to obtain high performance of data query and analysis through resource optimization and data pre-computation.

Traditional data processing relies heavily on manual operations, which is time-consuming and labor-intensive. At the same time, with the increase of data types, higher requirements are placed on the technical capabilities of developers. AI enhancement technology needs to be applied in data processing to improve data processing efficiency and reduce technology. threshold.

With the gradual popularization of cloud computing, the generation, collection and application of large amounts of enterprise data occur in the cloud. Therefore, the data platform needs to consider the cloud operating environment in the architecture and functional design, so as to be able to take advantage of the cloud's elastic scalability and agility. The advantages.

standard constrain:

Ai Analysis judges the competitiveness of manufacturers based on factors such as the manufacturer's comprehensive strength, historical service records, products and services, business models, sales capabilities, pricing capabilities, customer success, product strategy, ecology, etc., combined with the Ai analysis evaluation model. The manufacturers with the highest competitiveness scores were finally shortlisted in the manufacturer panorama report.

Reasons for selection:

Able to provide one of products and solutions such as databases, big data platforms, data integration tools, and data development tools, and possess the following corresponding capabilities:

It can support the collection of multi-source heterogeneous data, and efficiently complete data cleaning, conversion, loading and other processing.
It can support the storage of massive amounts of heterogeneous data, provide relational databases, and multiple storage systems such as HDFS, Hive, key-value storage, document databases, graph databases, and object storage, and ensure data scalability and reliability.
Able to achieve high-performance, high-concurrency data query and data analysis through product design and technical optimization.
It can apply AI enhancement technology in data cleaning, data modeling, data analysis and other links to improve the efficiency of data processing, and improve the ease of use of data platform products, and accelerate the implementation of data applications.
It can provide cloud-native architecture solutions to meet the needs of enterprises for data analysis in cloud applications and make full use of the advantages of cloud platforms.

This selection of the Love Analysis Report is a great recognition of even number technology by the industry and Love Analysis. In the future, Even Number Technology will continue to improve database performance and increase supporting support services, accelerate the advancement in the database field, maintain product technology innovation, and produce excellent results, while insisting on self-research of core technologies to help my country's big data product technology development .