Basically, NoSQL iterations evolved to fill in the gaps left by SQL. NewSQL is now striving to combine the best of both worlds.
Advantages and disadvantages of NoSQL and NewSQL
1. NoSQL
disadvantages
RDBMSs have been around a lot longer than NoSQL databases. The first RDBMSs were launched about 25 years ago. Although NoSQL proponents may present this as a flaw, citing age as an indicator of obsolescence, with the development of years, RDBMS have matured to become richly functional and stable systems.
In contrast, most NoSQL database alternatives are hardly out of the pre-production phase, and there are many important features that are not yet implemented. Its an exciting prospect for a developer who will balance to the cutting edge of technology, but care should be taken to avoid any catastrophic consequences.
All enterprises must be sure that if a key function in their data management system fails, they will have access to competent support in a timely manner. All RDMBS providers are working hard to make these services available, and enterprises can also get round-the-clock support from remote database administration services that have experience with most RDBMSs.
Each NoSQL database, by contrast, tends to be open source, and only one or two firms handle the reference angle. Many of them were developed by small startups that lack the resources to finance support globally, as well as the trust experienced by RDBMS vendors such as Oracle, IBM, and Microsoft.
- Business Intelligence and Analytics
NoSQL databases were created to meet the requirements of modern Web 2.0 Web applications. Thus, most functions are designed to meet these requirements. In cases where data application requirements extend beyond the typical “insert-read-update-delete” cycle of a typical web application, these databases offer several functions for parsing and querying ad-hoc.
Simple queries require some programming knowledge, and the most common business analytics tools that many enterprises rely on do not provide connectivity to NoSQL databases. However, this can be resolved on time, as some tools, such as PIG or HIVE, were created to offer special query functions for NoSQL databases.
The ultimate goal of NoSQL database design was to offer a solution that does not require administration, but the reality on earth is very different. NoSQL databases still require a lot of technical skills during installation and maintenance.
Since NoSQL databases are still new, almost every NoSQL developer there is still exploring the ropes, unlike RDBMS systems, which have millions of experienced developers all over the market and in all areas of trade. Over time, this situation will be resolved on its own, but at present it is easier to find an RDBMS expert than a NoSQL expert.
Any organization that wants to implement NoSQL solutions should be careful in light of the above limitations in addition to understanding the benefits that NoSQL databases offer to their relational counterparts.
Benefits
Regardless of these obstacles, NoSQL databases are widely used in many enterprises for the following reasons:
RDBMS is not so easy to scale on commodity clusters, while NoSQL databases are created for transparent expansion using new nodes. These databases are intended for use with low-cost hardware. In a world where upscaling is being replaced by external scalability, NoSQL databases are better suited.
Given that transaction rates are rising from recognition, massive amounts of data need to be stored. While RDBMSs have grown in line with growing needs, it is difficult to really use one RDBMS to manage such amounts of data. However, these volumes are easily handled by NoSQL databases.
The best RDBMSs require the services of costly administrators to design, install, and maintain systems. On the other hand, NoSQL databases require much less practical management, with data distribution and automatic repair capabilities, simplified data models, and fewer configuration and administration requirements. However, in practice, someone will always be needed to take care of database performance and availability.
RDBMS require the installation of expensive storage systems and their own servers, while NoSQL databases can be easily installed in clusters of low-cost commodity equipment as the volume of transactions and data increases. This means that you can process and store more data at a much lower cost.
2. NewSQL
<strong> Benefits
- Minimize application complexity and ongoing transaction support.
- Familiar SQL and standard tools.
- Richer analytics using SQL and extensions.
- Many systems offer NoSQL type clusters with more traditional data and query models.
disadvantages
- Not. NewSQL systems are as versatile as traditional SQL systems.
- In-memory architectures may not be appropriate for volumes larger than a few terabytes.
- Offers only partial access to the rich tools of traditional SQL systems.
Why is NewSQL not used anymore?
Obviously, NewSQL looks quite promising thanks to a combination of advantages that in the past existed only separately; and perhaps at some point in the future it will become the standard used by the majority. Unfortunately, at present, most NewSQL databases are either proprietary software or apply only to specific scenarios, which greatly limits the distribution and adoption of new technology.
In addition to this, NewSQL has nothing in common, and each solution has its drawbacks and advantages. For example, SAP HANA can easily handle workloads from low to medium transactions, but does not use built-in clustering, MemSQL is useful for cluster analytics, but shows weak ACID transaction consistency, etc. As a result, it is likely to take quite some time before these decisions become widespread.