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Most Popular Databases in 2023

by Rajni
10 Most Popular Databases in 2023
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Introduction

Around 328.77 million terabytes of data are generated daily. Databases help, store, file, and manage this humungous amount of data that is generated through different applications and systems. The market for database management systems is expected to be valued at around $79.2 billion in 2023. It is also expected to experience huge growth, reaching around $125.6 billion by 2026. Thus, data management is key to the growth of businesses today. 

Thus, in this blog, we will delve into some of the most popular databases available in the market that businesses can leverage for data management.  

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What is a Database?

A database is a storage tool using which you can collect, store, and organize data that can help you make informed business decisions. store and organize information. It helps us gather and manage these data easily. For instance, your bank, grocery store, bank, online shopping portals, hospital, etc. use databases to collect data on you and other customers, keep track of inventory, accounting data, etc.

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The Significance of Databases in Business Operations

The emergence of data-driven strategies has not only broadened the horizons for businesses but has also introduced complexities in their operations. Consequently, every organization grappling with multiple datasets must adopt a robust database management system.

This adoption allows users seamless access to their designated databases, ensuring they can retrieve pertinent information whenever the need arises. These database management programs
establish crucial connections to facilitate efficient data retrieval. Implementing such solutions not only enhances overall company performance but also leads to substantial cost savings by streamlining the management of extensive data repositories.
 

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The Role of Databases in Business Operations

The emergence of data-driven strategies has not only broadened the horizons for businesses but has also introduced complexities in their operations. Consequently, every organization grappling with multiple datasets must adopt a robust database management system. 

This adoption allows users seamless access to their designated databases, ensuring they can retrieve pertinent information whenever the need arises. These database management programs establish crucial connections to facilitate efficient data retrieval. Implementing such solutions not only enhances overall company performance but also leads to substantial cost savings by streamlining the management of extensive data repositories. 

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Most Popular Databases in 2023

Some of the most popular Databases in 2023:

Database Type Licensing Suitable Business Size Notable Features Routing Use Cases
Oracle RDBMS Proprietary Large to Enterprise Security, Scalability, Performance Built-in Rapid web application development, RESTful APIs, CMS
MySQL RDBMS Open Source Small to Medium Cost-effective, Ease of Use Powerful Enterprise-level applications, scalability, complex projects
MS SQL Server RDBMS Proprietary Small to Enterprise Industry-level Performance, Integration Built-in Small to medium-sized web apps, prototyping, performance
PostgreSQL RDBMS Open Source Small to Enterprise Stability, Flexibility, Support for JSON Built-in Modern web apps, security-focused, e-commerce
MongoDB NoSQL(Document) Open Source Small to Enterprise Flexible Schema, Easy Installation, Analytics Built-in High-performance apps, real-time apps, low-level control
High-performance apps, real-time apps, low-level control RDBMS Proprietary Medium to Enterprise Flexible Configurations, High Security Custom Middleware, integrating with legacy systems, customization
Redis NoSQL(In-Memory) Open Source Small to Enterprise High Performance, Easy-to-Use Built-in Rapid web app development, content-heavy sites, security
Elasticsearch NoSQL(Document) Open Source Small to Enterprise Fast Text-Based Search, Flexibility Built-in Microservices, lightweight apps, APIs, prototypes
Microsoft Access RDBMS Proprietary Small Ease of Use, Desktop Application Custom Ease of Use, Desktop Application
SQLite RDBMS Public Domain Small Self-contained, Embedded Custom Mobile apps, embedded systems, lightweight local databases

1. Oracle

Oracle logo

Going by the recent Statista report, Oracle held the top spot as the most popular database management system (DBMS) globally. It boasted a ranking score of 1247.52. 

Oracle Database has consistently led the industry since 2006, driven by its cutting-edge features. These include AutoML, autonomic management, advanced multi-model support, and exceptional release stability, all contributing to its high demand in the market. 

Oracle Database, originating in the 1970s, offers a range of versions to suit various organizational needs. It boasts compatibility with numerous operating systems, such as Windows, UNIX, Linux, and macOS, including IBM AIX, HP-UX, and others. 

✅
Pros
 
❎
Cons
All-encompassing data management systemsExpensive for new businesses
Efficient virtual workloadsFrequent hardware upgrades to implement can be a hassle
Inbuilt data and security measures
Comprehensive data integrity services
Compatible with multiple data access patterns such as  JSON and XML
Best for OLAP, OLTP workloads, and blockchain tables

E

2. MySQL

MySQL is a the most used database for web-based applications. It is best known for its regular updates and heavy security. It has both  a paid and free version. The free version provides required amount of speed and reliability. Moreover, MySQL provides a choice of storage engines, customizable functionality, and streamlined data access via user-friendly interfaces.

✅ Pros  ❎ Cons
Feature-rich freeware database engine Requires manual effort and incremental backups for setup
Variety of user interfaces Lacks built-in support for XML or OLAP
Supports both structured data (SQL) and semi-structured data (JSON)
Can be reinforced with other databases like DB2 and Oracle

3. Microsoft SQL Server

Microsoft SQL Server excels in on-premises and cloud environments, thus, seamlessly integrating with Windows and Linux platforms. Also, its user-friendly nature and the latest Azure-ready version offer innovations in security, accessibility, and operations. Integration with Microsoft Purview and Azure Synapse Link enhances real-time data prediction.

✅ Pros  ❎ Cons
Reduced resource usage Cost may be high for smaller organizations
Seamless integration with Microsoft products Challenging file importing with SQL integration services
Accessible via mobile devices
ACID transaction guarantee and consistency
Supports both SQL and JSON

4. PostgreSQL

PostgreSQL, also called Postgres, is an open-source and free relational database management system that focuses on customization, extensibility, and SQL compliance. PostgreSQL supports both structured and unstructured data. You can also host it up in various environments, including virtual, physical, and cloud setups. improvements.

✅
Pros
 
❎
Cons
Handles high volume of data and is highly scalableOffers very limited configuration guidance 
Provides different prebuilt functionalities and interfacesSpeed  drops  during  bulk data gathering
Supports different data types

5. MongoDB

MongoDB

MongoDB is an open-source NoSQL database. It is famous for its ease of use and flexibility.  Moreover, MongoDB supports data formats such as JSON and NoSQL structures. Thus, making it a lightweight database to use.

✅
Pros
 
❎
Cons
Compatible with JSON and NoSQL structuresSusceptible default settings
Easy to use schema scriptingHas a long-wound setup process
Lightweight to useDoesn’t meet ACID compliance 
Flexible document structureLimited multi-key ACID transactions

6. Redis

Redis logo

Redis is an open-source in-memory data store used as a database, cache, message broker, and streaming engine. It also offers fast data access, supports various data structures, and allows custom scripting on the server. Redis is excellent for caching frequently accessed data but has limited RAM availability.

✅ Pros  ❎ Cons
Extremely fast due to in-memory storage Limited RAM availability
Supports various data structures Operates on a single thread
Custom scripting on the server Requires significant memory for large datasets
Ideal for caching frequently accessed data

7. Elasticsearch

Elastic Search Logo

Elasticsearch is a powerful open-source search and analytics engine built on Apache Lucene. It handles large data volumes and provides fast full-text search. It also supports unstructured or semi-structured data without a predefined schema. Elasticsearch’s large community and ecosystem offer various tools and plugins.

✅ Pros  ❎ Cons
Advanced full-text search capabilities Complex setup and configuration
Real-time search and analytics Scaling clusters can be challenging
Flexible indexing and search for unstructured data Favors speed and search over strict consistency
Large community and ecosystem

8. IBM DB2

IBM DB2

IBM DB2 is a cloud-native database supporting Windows, Linux, and Unix platforms. It offers NoSQL features like JSON and XML support. Also, the advanced version enhances performance with RDMA support and Blu Acceleration for enormous databases.

✅ Pros  ❎ Cons
Feasibility for physical servers and cloud Free support for the first three years only
Task Scheduler for multitasking Cost may be prohibitive for individuals and small organizations
Resource optimization with Blu Acceleration Cluster or secondary nodes may require third-party tools

9. Microsoft Access

MS Access

Microsoft Access is a relational database management system that uses its format, Access Jet Database Engine. It also offers a graphical interface for designing, managing, and analyzing data efficiently, making it accessible to users. 

✅
Pros
 
❎
Cons
Offers an effective, easy to use interface with drag-and-drop functionality Lag in performance compared to robust DBMSs
Compatible with Microsoft Office applications Limited option for enhanced security features and access controls
Provided mostly as part of Microsoft Office suites Concurrent access and data integrity is a challenge

10. SQLite

SQL Lite

SQLite is a database tool written in the C programming language. It is a library and not a standalone app.  It requires no separate server process and works with a single database file. While it supports ACID properties, it operates in a single-writer/multiple-reader mode and may have limitations in handling complex joins.

✅ Pros  ❎ Cons
It operates without the need for a separate server process, making it ideal for embedding within applications SQLite operates in a single-writer/multiple-reader mode, which may restrict concurrent write operations
It works efficiently with a single database file Handling complex joins involving multiple tables can be more challenging compared to traditional RDBMS
SQLite’s compact library suits resource-constrained environments like mobile apps and embedded systems It may not be suitable for managing very large datasets or demanding high-performance tasks
SQLite adheres to ACID properties, ensuring data integrity and reliability Advanced features like stored procedures and triggers, present in more sophisticated database systems, are absent in SQLite
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Final Thoughts

The foundational elements of software applications and mobile app databases play a crucial role in a business’s success. Databases serve as essential tools for your business operations. Now, with an understanding of the most popular databases in the market and their contributions to safeguarding your business’s vital data, you can make informed decisions about which database to rely on.

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