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This article mainly explains "what are the five advantages and challenges of NoSQL database". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn what are the five advantages and challenges of NoSQL database.

Five advantages of NoSQL

1: elastic expansion

For years, when database load needed to increase, data administrators could only rely on scale-up-buying more and more powerful servers instead of scale-out-to distribute databases across multiple hosts. In any case, with the increase in transaction frequency, availability requirements, and the need for database migration to the cloud and virtual environment, the economic benefits of scale-out based on commercial hardware have become irresistible.

Compared with the RDBMS system, it is not easy to scale out on the commercial cluster, the new NoSQL data is designed to be able to transparently use the new nodes for expansion. The design of NoSQL databases usually takes advantage of low-cost commercial hardware.

2: big data

Just as the increase in trading rates over the past two decades has exceeded people's imagination, the scale of data stored has greatly increased. O'Reilly cleverly calls this phenomenon the "industrial revolution of data". The ability of RDBMS system is also improving to adapt to this growth, but just like the limitation of transaction rate, the actual data scale that can be managed by a single RDBMS system can no longer meet the needs of some enterprises. Today, NoSQL systems, such as Hadoop, can already handle data capacity at the "big data" level, which far exceeds the processing capacity of the largest RDBMS systems.

3: say goodbye to DBA. )

Although RDBMS vendors claim to have many manageability improvements over the years, maintenance on advanced RDBMS systems is inseparable from well-trained but expensive DBA. DBA needs to be closely involved in the design, installation and continuous tuning of advanced RDBMS systems.

In theory, NoSQL databases usually require less management from the most basic design: automated repair and data distribution, simpler data models lead to fewer management operations and tuning requirements. In fact, the claim that DBA is dead is somewhat exaggerated. There is always someone responsible for the performance and availability of critical business data storage.

4: economy

NoSQL databases usually use clusters of cheap servers to manage rapidly growing data and transaction capacity, while RDBMS tends to rely on expensive professional servers and storage systems. As a result, the cost per gigabyte or transaction cost per second of NoSQL is many times lower than that of RDBMS, which allows you to store and process more data at a very low cost.

5: flexible data model

Change management is a headache for large RDBMS products. In RDBMS, even minor data model changes need to be handled with great care and may require system downtime or service level reduction.

The data model limitations of NoSQL databases are much easier-or none at all. NoSQL's key-value store and document database allow applications to store data of any structure in a data element. Even relatively strict BigTable-based NoSQL databases (Cassandra,HBase) usually allow new columns to be created without too many restrictions.

As a result, changes to the application or database schema do not need to be managed as a complex unit of change. In theory, this allows the application to iterate faster, and of course, it is clear that if the application does not guarantee the integrity of the data, it may have adverse side effects.

NoSQL 5 Challenge

The prospect of NoSQL database is promising, but there are still many difficulties to overcome in order to apply it to mainstream enterprises. Here are several problems that need to be solved first.

1: complete

The RDBMS system has been around for a long time. Proponents of NoSQL argue that the increase in survival time is a sign of its degradation. But for most CIO, RDBMS is stable. In most cases, the RDBMS system is stable and multi-functional. By comparison, some of the key components of most NoSQL products have yet to be implemented.

Most developers are eager to live at the forefront of technology, but companies must be cautious.

2: support

Companies need to ensure that if a critical system crashes, they can get timely support. All RDBM providers have made great efforts to provide high-level enterprise support in the dynasty.

By contrast, most NoSQL systems are open source projects, and although each NoSQL database is usually supported by one or more companies, these companies are usually small companies that lack global reach, support resources, and credibility like Oracle,Microsoft or IBM.

3: data analysis and business intelligence

In order to meet the extensibility requirements of popular Web 2.0 applications, NoSQL database came into being. Therefore, their feature sets are all ready to serve these applications. However, the data generated in the business of adding, deleting, modifying and querying Web applications has commercial value. Mining potential business information from these databases to improve the efficiency and competitiveness of enterprises and business intelligence (BI) for all enterprises is the key problem faced by IT yesterday.

The NoSQL database lacks ad hoc query and data analysis tools. Even a simple query requires professional programming skills, and traditional BI tools do not provide connections to NoSQL.

HIVE and PIG emerged to solve this problem, providing a more convenient way to access data stored on Hadoop clusters and even other NoSQL databases. Quest Software has developed a cloud database product-Toad-that provides ad hoc query capabilities for a variety of NoSQL.

4: management

The design goal of NoSQL may be zero management solution, which is too far from reality. At present, the installation and maintenance of NoSQL need to master technology.

5: professionalism

Developers who are familiar with the concept and programming of relational databases can be found all over the world, but almost every developer of non-relational databases is still learning. This situation will certainly be resolved over time, but for now, it is obviously easier to find a developer or manager of a relational database.

Thank you for your reading, these are the contents of "what are the five advantages and challenges of NoSQL database". After the study of this article, I believe you have a deeper understanding of what the five advantages and challenges of NoSQL database are, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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