Data Warehousing Trends – Open Source vs Commercial
With the advent of the big data era, data warehouse technology has been widely used and developed rapidly. In this process, open source and commercial data warehouses have become the two mainstream choices. This article will delve into data warehouse trends – open source vs commercial, and analyze their pros and cons and applicable scenarios.
1. Open source data warehouse
An open source data warehouse refers to a data warehouse based on open source software, the most famous of which is Hadoop. It realizes the storage and analysis of large-scale data through the distributed file system HDFS and the data processing engine MapReduce . In addition, the development of open source technologies such as Spark and Hive has further improved the processing speed and data analysis capabilities of data warehouses.
Advantage:
1) Low cost: The software of the open source data warehouse is free and the source code is open. Users can customize development according to their own needs.
2) High flexibility: Due to the continuous update and iteration of open source technology, users can keep up with technology trends and flexibly respond to changes in business requirements.
3) Active community: The prosperity of the open source community has greatly improved the speed and quality of problem solving.
Disadvantages:
1) Security: Since open source software has many security holes, it is vulnerable to attacks.
2) Scalability: The scalability of open source data warehouses is limited, which needs to be solved by users themselves.
3) High technical threshold: It needs a certain technical team support, which may be more difficult for small and medium-sized enterprises.
2. Business Data Warehouse
Commercial data warehouses refer to data warehouse products developed and sold by commercial companies, such as Snowflake, AWS Redshift, etc. They generally have better performance, ease of use, and security.
Advantage:
1) Security: Commercial data warehouses usually have stronger safeguards in terms of security.
2) Scalability: Commercial data warehouses are more scalable and can meet the needs of large-scale data processing.
3) Stable performance: The performance and stability of commercial data warehouses are more reliable, which can reduce the failure rate.
Disadvantages:
1) High cost: Commercial data warehouses usually need to be used for a fee, and the cost is relatively high.
2) Low flexibility: The product design and functions of commercial data warehouses are relatively fixed, and the flexibility is low.
3) Restrictions on technical support: Commercial companies usually limit technical support, making it difficult for users to obtain more comprehensive support.
3. Selection basis
Based on the above analysis of advantages and disadvantages, the choice of open source or commercial data warehouse should be determined according to specific scenarios. If the enterprise has a strong technical team, does not have high security requirements, and wants to save costs, then an open source data warehouse is a good choice. And if the enterprise pays attention to data security, performance and ease of use, and has sufficient budget, then commercial data warehouse is a better choice.
In short, when choosing a data warehouse, it is necessary to comprehensively consider the actual situation and needs of the enterprise, and weigh the pros and cons in order to make the most suitable choice.
Reposted from: https://developer.baidu.com/article/detail.html?id=357978