No matter what you’re planning to develop, you’ll need a database for it. An application generates huge volume of data and it becomes difficult to manage all of the data in a proper organized manner so that you can access it without any hurdles and chaos. Database is where you can systematically store the small as well as large data of your application which you can later on retrieve easily whenever needed. Although there are numerous databases available in the market, we have shortlisted few of the best ones that you can consider using in your applications.
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Top Databases for 2023
Oracle is one of the greatest relational database management system available in the market. One of its key feature is its ability to manage large amount of data across multiple servers. Oracle database allow you to build applications that can interact with the database using various programming languages as it supports Java, C, Python, and many more languages. Its noteworthy security measures make it a safe place to store your data. You can efficiently extract more than one information from its database all in one report.
MySQL being an open-source helps it develop faster than the traditional databases like Oracle, which is closed-source. It supports large databases with approx 50 million records. It is easy and fast to use and is comfortable for the end users’ use. The most valuable feature of MySQL was that it was free and did everything you might need it to do but after Oracle acquired MySQL in 2010 the database started offering paid services as well. MySQL is very reliable and flexible as it integrates with multiple programming languages easily. It allows you to refer to tables from different databases in the same statement.
MS SQL Server
MS SQL Server is a developer friendly and highly responsive tool. It supports multiple languages; it is easy to understand; it is perfect to manage on PC; it is easy to install; and it has good performance. Managing different activity of the database has never been convenient until MS SQL Server showed up. You can also create automated backups and protect data with high security. With MS SQL Server, coding is much more efficient as compared to any other database available in the market. It is well balanced even though it is not advanced and does not consume a lot of resources. The kind support and huge community is just an add on.
PostgreSQL is an open source object relational database which helps you in retrieving data fastly without any hindrances free of cost. It uses the memory efficiently and executes the queries quickly. It even works smoothly with web applications like Django backend and offers amazing support for custom functions. The languages used is mostly universal and the error message is also clearly laid making your coding experience more convenient. Further it is highly compatible with Oracle SQL and Oracle PL / SQL making it easy to migrate an Oracle database to PostgreSQL.
If the data in your application changes frequently and you are tired of migrating and de-migrating whenever you are required to update the data, then MongoDB is the perfect option for you. MongoDB gives you access to flexible schema which will help in reducing your repetitive work and stress. You can now easily manage the unstructured and constantly changing data. If you get stuck or confused at any point the time by working on MongoDB, you can access their free documentations and libraries to understand the features. Overall the database is free to use and provides quick performance without any restrictions on structures of the data.
IBM DB2 can manage both structured and unstructured data on either a cloud platform or on a device. If you are looking for a database for mainframe environment, DB2 can help you in handling the large workloads. However, it might be a little tricky to understand at the first glance. It would’ve been great of you have experience of working on other IBM tools as DB2 is more compatible with them. The layers of security on the organization’s database is just another add on to its great performance.
The feature that makes Redis unique from other players is that it provides its users an in-memory database which makes it easier to assess, read, and write the data quickly which eventually enhances the users’ experience of working on Redis. Another important feature of Redis is that the session keys are easily assessible and it provides lots of use cases out of the box like rate limiting and caching. Majority of people use it for cache implementation as it is able to read and write huge numbers of operations per second.
Similar to IBM DB2, Elasticsearch can be deployed either on a cloud platform or can be used on-premise. It is the best big data open source platform available in the market. You can store millions of log traces in graphs with ease. It gives you a feature of advanced search which lets you search keywords or query index keywords within seconds which reduces your time while reading log files related to Kubernetes clusters. The dashboard feature called Kibana makes it easier for you to visualise large data at one place right on your fingertips which eventually enhances the time you take on decision-making.
Cassandra integrates the goodness of SQL with the enhanced CQL. If you are looking for a NoSQL column store database, then you can without any doubt go for Cassandra. It is a great choice if you are dealing with large and high velocity data in real-time. It de-normalizes the data which helps in getting rid of the painful joins. The architecture and replication features might help you in achieving more high availability works. Netflix, Spotify, and eBay are also customers of Cassandra.
MariaDB is highly compatible with MySQL. You can easily replace MySQL server with MariaDB without the need of any coding. It is open source based exactly like MySQL which is considered as the best part about it. It supports various programming languages like Java, Python, C, etc. MariaDB supports large queries and executes commands faster. You can set auto commit false/ true whenever you do more than one transaction in a single request. It is built by the developers of MySQL and works just like that but faster and stable than MySQL itself. Many users prefer MariaDB over Oracle because of its performance and availability.
One of the best feature about OrientDB is that it manages relations without using any joins. It is smooth and rapid and lets you fetch the data quickly from many tables with only one request making it an efficient choice. If you are dealing with the data having complex relationships, it would be a perfect choice to get exactly what you want from a database. It supports multiple query languages but SQL being the most used one. Since SQL is the most common language used, conversion from SQL to graphs is quick and easy. Your queries gets processed at a faster rate. You can easily develop your own application because of its flexible Java API support.
SQLite is one of the serverless relational database making it the unique one among those in this list. You can modify it according to your needs. The main feature which might as well be its USP is that it requires no configuration and is easy to integrate with other programs and systems. Since it loads only the data which is important or is needed by you, the performance is sharp leading to more productive results. It is a great choice if you are in the development phase of your application or in the testing phase. Further, to make your experience on the database even more convenient it supports cross-platforms as well like iOS, Android, MAC, and windows.
DynamoDB is one of the best available service of AWS. You can have millions of requests going in and out of this database and it will process all of it seamlessly. The best thing about it is its simplicity and high scalability which lets you perform operations efficiently. Also, it is serverless so you don’t need to worry about complex configurations. The configurations in DynamoDB is relatively easier to manage. You can just focus on codes instead of working your brain on settings and configurations hassle-free. You can easily retrieve your data with key-value pair. It puts no restriction on the volume of data and hence is very helpful if you are planning to work on it in long term for the development of your application.
Neo4j is one of the leading native graph database which helps the world make sense of data. It is the most interactive, engaging, and easy query tool you would ever work with. The user-friendly cyphers are even helpful for those who have no knowledge of programming languages. The fundamental building blocks of nodes and multiple tags makes it possible to showcase the data in a way that our brain can easily understand. The efficient visualizations help you debug and resolve issues way faster than compared to other databases. It also provide smooth integration with most cloud services. You can handle more than 10k rows of the data in a single table smoothly which other databases fails to do so.
Firebirdsql is a multi-platform database which can be run on Linux, Windows, and a variety of Unix platforms. It is a simple database and managing it is as simple as it could be. Whether your data is terabytes or there is no need of transaction blocking in your work, firebird would be a great choice because of its classic, and rapid and trouble proof architecture. It has three versions – supersaver, classic, and super classic. The restoration process of data is super easy and you can easily migrate the data from one system to another as its entire database is portable.
Which is the Easiest Database to Use?
Almost all the databases supports multiple languages which is the foundation of every application. To find out which one is the easiest database, you should be clear of what you are actually looking for. Once you have it crystal clear in your mind, you can start searching for those databases which fulfils your needs. You can refer the above-mentioned list for a quick glance. The finest and easiest database for software and web applications is the SQL as it is the basic you might have learnt in University. Most of the databases are SQL-based and thus it becomes important to master it first before moving to advanced databases like Oracle.
Which Database is Best for Python?
SQLite is no doubt one of the best and easiest database to connect with Python application. You don’t have to install any additional Python SQL components and even Python comes with a built-in SQLite library, known as SQLite3. It is very lightweight and supports great flexibility which is great if you are dealing with such applications which needs portability.
Which Database is Best for PHP?
MySQL and PostgreSQL are two best option to us with with PHP web application. Both database are popular and widely used database and work best with PHP applications.
If you are dealing with small and straightforward applications, then databases like MongoDB and SQLite are good options for you. If you are dealing with large and complex programmes, then MySQL and PostgreSQL are perfect for you. If you are still unsure about which one would be the best for you or need a hand in construction of your application or a database, contact us and we will help you resolve all of your concerns.
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