Top 5 databases to consider for 2022

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Read Top 5 databases to consider for 2022. Explore MySQL, PostgreSQL, Oracle, MongoDB and Microsoft SQL Server.
Microsoft SQL Server
There are many databases to choose from, you can’t just pick one. You need a database that is appropriate for your application and the scale at which it will be used.
In this blog, we’ll talk about 5 databases that will work perfectly for building all types of software applications: web-based databases like MySQL or PostgreSQL; enterprise databases like Oracle Database or Microsoft SQL Server; embedded systems databases such as Microsoft Access Database Engine (Jet) or FileMaker Pro 12 Advanced Server and many more.
A database is a collection of the information used as an electronic filing system and it can easily be retrieved when needed. Data that is stored in the most common types of databases today can be more easily accessed, processed, and queried by being modeled as rows and columns on tables. The data can then be managed with ease to modify it or make changes.
Top 5 databases to consider in 2022
Data is the life blood of any business. Understanding databases can help to manage the business better.
Oracle is a multi-model relational database management system that is designed for enterprise grid computing and data warehousing – one of the first choices for enterprises. It provides cost-effective solutions to their applications and data management needs with its support of SQL language.

Let’s go over a few parameters that make Oracle immensely popular, scalable, and efficient. 

We can use performance optimization techniques to help retrieve and alter data faster and increase the execution time of our queries.
Oracle databases are compatible with an impressive number of computing systems – over 100 hardware platforms and 20 networking protocols.
Multiple Databases
It lets you manage multiple databases on a single server with its instance caging approach. However, Lyftrondata supports complete data migration from Oracle to Snowflake in minutes without any hassle.
Let’s take a look at a few challenges that users face.
  • Oracle is not recommended for novice users who may lack the necessary technical skills for adequately managing and maintaining their databases.
  • Oracle databases are often plagued by complex and difficult management of certain activities.

How Lyftrondata helps to transform your Oracle

Mysql is a powerful and flexible open-source relational database that supports SQL queries. It relies on an engine for storing data, depending upon the needs of your application. There are two highly popular engines to choose from: MyISAM or INNODB. If you want more control over how transactions behave and don’t mind row-level locking, then use MyISAM. If speed in insertion is important then go with INNODB. It offers much faster performance.
Let’s start by looking at why MySQL is a perfect fit for many applications.
MySQL is a powerful package that can handle functions of the most expensive and complex databases in existence.
The database can seamlessly run on many languages such as PERL, C++, and PHP.
MySQL is a popular database that can be used to store and retrieve data but it has some drawbacks
  • MySQL is the best option for small databases, but it cannot handle large databases well.
  • The database's stability is uncertain.

How Lyftrondata helps to transform your MySQL

PostgreSQL is a powerful and popular open-source relational database that runs on all major operating systems. It lauded for its data integrity, accuracy, and reliability — all of which are backed by the free source code available to anyone who wants it!
In addition, this software supports SQL queries in C/C++, Perl Ruby is among other languages making Postgresql one of the best options for programmers dealing with databases.
A few innovative features that PostgreSQL offers
PostgreSQL is a powerful, open-source database that can also function as the backend for dynamic websites and web apps.
PostgreSQL is an open-source product that you can implement for your business needs, making it the perfect choice for any company.
Are there any disadvantages? Yes.
  • For those who use PostgreSQL and prefer open-source apps, building applications take time and efforts.
  • PostgreSQL is slower than MySQL when it comes to performance metrics.

How Lyftrondata drives powerful BI acceleration

MongoDB is a document-based database that stores data in JSON’s BSON format. Mongo supports indexing, load balancing, and sharding to make it easier for people who use the tool. They don’t have to write SQL queries or learn how to query these documents like one would do with a SQL interface.
Here’s what makes MongoDB a great database
MongoDB is a schema-less database, which means you can have any type of data in individual documents.
It is a document-oriented database and makes it very easy to access documents by indexing. This speeds up that query response times by 100x compared to traditional relational databases.
The downsides of MongoDB
  • One limitation of the document is that it cannot exceed 16MB.
  • The maximum nesting level is 100.

How Lyftrondata helps to transform your MongoDB data

Microsoft SQL Server
Microsoft SQL Server is a database management system that has many functions. The primary function of this software product and the reason for its development is to store and retrieve data at your request. This could take place on the same computer or remotely across a network connection – it’s up to you what works best!
Microsoft SQL Server pros make it easy for data-driven businesses.
Data Security
When you need to ensure the security of your database, this is the only choice. Microsoft SQL Server guarantees that all data will be safe and sound with their unique service for managing databases.
Data Storage
Microsoft SQL Server lets you use the same data storage for multiple devices and operating systems.
Microsoft SQL Server is a powerful machine but it isn't perfect. PostgreSQL is slower than MySQL when it comes to performance metrics.

How Lyftrondata helps to transform your Microsoft SQL Server

How Lyftrondata helps to transform the data from these databases

Lyftrondata integrates your data from Oracle, MongoDB, MySQL, PostgreSQL, and Microsoft SQL Server into the platforms you trust, so you can make decisions that drive revenue and growth.
Lyftrondata automatically connects with databases and files. It loads them into a cloud data warehouse of your choice and makes the data available in your favorite BI or analytics tool. All transformations are defined in a standard SQL, which are pushed down to the target data warehouse in their native SQL for better performance.

Let’s get personal: See Lyftrondata on your data in a live Demo

Schedule a free, no-strings-attached demo to discover how Lyftron can radically simplify data lake ETL in your organization.

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