Guide to Current and Upcoming Trends in Database Management

Database Management: Regarding information technology and allied services, the trends used rise one after another and soon get outdated with the next big thing.


Regarding information technology and allied services, the trends used rise one after another and soon get outdated with the next big thing. As of late, we have seen many technologies and strategies in terms of database management, which, when leveraged by big data and analytics, can transform the entire business operations in a new direction of data-based decision making. Keeping up with the changing trends is a vital factor.

Database Management Trends in 2020

We live in a data-centered era. There was a huge leap in business-related data, which is brought in through a wide range of sources like websites, smartphones, points of sale, IoT platforms, big data pipelines, etc. With this increasing instream data, there should also be better practices in data and database management. So, enterprises are eager to adopt fresh data sources and comprehensive modes of storage, management, processing, security, and appropriate data governance.

As we analyze the latest database management trends, one thing is very evident that this advanced technological trend is thriving at the crossroads of people, processes, and businesses. These trends are now bringing in a fundamental cultural shift in enterprise operations, in which data management and analytics play a significant decision-making role.

In data-based business management culture, the employees and stakeholders will be part of the database management process to ensure optimum benefits. A Gartner study shows that, in a data-centric environment, there is also a higher possibility for data disruptions to happen. This is true in light of the advancements in technologies like the Internet of Things, AI, and Machine Learning, etc. where data plays the center stage.

The role of database engineering

The role of a database engineer now is to ensure a well-delineated organizational data plan. Database teams for corporate data management cannot function without possessing various skills like coding, database skills, and big data management. Besides building a baseline for proper enterprise database management, all involved also need to work in close coordination with data analysts and data scientists to facilitate data-oriented enterprise management functions.

Some of the current and upcoming database management trends as of late are as below:

  • We can see that the organizations largely shift towards a decentralized data governance model from hierarchical database management architecture.
  • A multi-tier storage approach is followed where various entities follow various data types, which will be stored at a commonplace to be accessed from there to optimize space utilization and a cost reduction.
  • Basic database activities as storage, processing, analytics, and data-based business decision-making are largely outsourced now. These services are available at all scales, which helps enterprises save a lot of money by getting rid of the need for on-site infrastructure and expertise to manage the data centers.
  • There are many hybrid database applications available out there, which offer many private, public cloud applications. RemoteDBA also points out that it is more of this sort, which are expected to be in common practice soon, which will help increase the productivity and efficiency at all levels of organizations.

Other major trends in database management

Single-Point database management systems

The use of single-point DBMS platforms is also going up, which improvises decentralized data management solutions. This approach is largely gaining momentum over the last several years. However, along with the other major advancements in DBMS technologies, the enterprises are now into a scenario where they cannot survive by adopting a single-point database management system at full-fledged. However, this will help optimize the data collection and manage the diversified data distribution across different channels.

Automated DB management

Another advancement in database management is in terms of automation of the same. There are many tools available for the same, which simplify database maintenance, patching, provisioning, updating, and upgrading the databases in line with the workflow. This is a trend that is slowly growing now and still offers only limited success in comprehensive database management, which still requires a fair among human intervention, even though making our tasks less loaded.

Big Data management

As we have already discussed, the DBMS systems of modern times now revolve around Big Data and related technologies used largely in various industries as biotechnology, healthcare, defense, enterprise administration, etc. The GPUs are also offering better solutions in terms of data storage and enable real-time data streaming and in-memory database systems, which will offer innovative data analysis and data-based decision making.

All these technologies are expected to further facilitate on-time data processing in real-time across multiple GPUs to enable services like interactive live trading etc. Bit data put forth many avenues for cheap data storage, easy data accessibility, integration with automation tools, and more. We can say that Big Data is creating a fundamental shift in the business management approach, which forces every industry to resort to data-driven decision making.


We can see another great shift in terms of enterprise database management is the shift from the conventional relational database management systems based on SQL to the more innovative and capable NoSQL databases. By overcoming the limitations of the conventional databases, NoSQL databases are readily pliable with big data applications. There is another new rise in terms of database management systems, which is termed as NewSQL, which claims to combine SQL and NoSQL’s benefits by eradicating many of the shortfalls these have. However, we are yet to see the full-fledged benefits and drawbacks of NoSQL in the coming years.

Even though many such database management trends point out, all these demands a fundamental focus on data security. Database-as-a-service lately has clarity in offering secured database administration services by working in hand with enterprise IT professionals and database administrators. However, still, there are many loose ends to keep an eye on.

The in-house DBAs should work closely with data security professionals to ensure strict compliance and eliminate any chances of possible vulnerabilities that may adversely affect your database operations. This includes but is not limited to planning the network privileges, hardware and software setup, access restrictions, use of firewalls, and so on.

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