10 Best Databases to Learn 2020

In this digital era, every software or software system needs databases to store their data somewhere. As we are in 2020 there are foremost used 10 databases that we are gonna learn today. It is based on Stackoverflow’s survey in 2020. Let’s consider 10 Best Databases to Learn 2020.

From the customer’s transition data, balance, password, automation, and so on, the organization has to use a database to store that data.

And at least before launching a software or software system, you need to decide what database would be best for your software.

What is database?

A database is a collection of interrelated information or data that are used to manipulate, access data.

So we have to use program or software to handle database or store data these are 10 best database to learn in 2020.

Why do we need a database in any software or software system?

Any software is made to handle data. So we have to store that data somewhere.

For example, there are many platforms exist that use databases including Google, Facebook, Netflix, and the list go on every software need to store their data somewhere.

There are the foremost two types of databases that exist.

1) SQL (Structured Query Language)

SQL databases include the 6 foremost SQL used databases that are Oracle, MySQL, PostgreSQL, Microsoft SQL Server, MariaDB, DB2

2) NoSQL (Not Only Structured Query Language)

NoSQL databases include the 4 most used NoSQL databases that are MongoDB, Cassandra, Redis, Firebase.

When looking at database technologies, the results are mostly consistent with MySQL that has been maintaining the top spot for a while now. MySQL is old but still useful in 2020’s survey of databases NoSQL got 55.6%. so 55.6% of developers that used MySQL considered it as the best database for them.

10 Best Databases to Learn 2020

1) MySQL

• Developed By: Oracle Corporation
• Written in c, c++
• Type: SQL

MySQL is an SQL type database technology used by many. MySQL is a database technology that has written in c, c++ as many of the databases in this list are written in c, c++.

MySQL is originally based upon relational algebra and tuple relational calculus. MySQL consists of many types of statements including DQL, DDL, DCL, DML.

It supports large databases that up to 50 million rows or more in a table. The default file size limit for a table is up to 4GB, but you can increase this. Support for replication and partitioning, as well as for Xpath and for stored procedures, triggers, and views.

From pre-web offline databases to heavily-modified SQL databases playing a central role in global apps including Facebook – RDBMS and MySQL are battle-tested and have proven to be reliable after countless millions of hours running in production.

Pros

• Simple syntax
• Ubiquity
• Open Source and interoperability
• High Security
• Fast

Cons

• Not support for XML or OLAP
• Support is available for the free version
• Take a lot of effort to create incremental backups

2) Oracle Database

• Developed By: Oracle Corporation
• Written in c, c++
• Type: SQL

Oracle ranks second in our list of the best database to learn in 2020. Another SQL based database technology developed by Oracle Corporation as it’s said to be the king of databases.

Oracle database is really famous database among developers. Oracle is easy to use and includes features like JSON from SQL, Robust Code using constants. long name support, list support, RDBMS, and much more.

Oracle Database 12c offers a wide range of features to help customers meet specific requirements in the areas of scalability, performance, high availability, security and compliance, data warehousing and big data, and manageability, both on-premises and on Oracle Cloud.

Pros

• Simple syntax
• Ubiquity
• List support
• Long name support
• Open Source and interoperability
• High Security
• Fast

Cons

• High cost
• Require better resources for installation
• Hardware upgrades for your device may be required to even implement Oracle
• Takes a lot of space

3) Microsoft SQL Server

• Developed By: Microsoft Corporation
• Written in c, c++
• Type: SQL

Widely used database Microsoft ranks third on our list. It is the most widely used commercial DBMS. Microsoft begins with its database server on April 24, 1989.

It is a SQL based technology that supports both GUI and command based software. As a database technology, it describes the primary function of retrieving and storing data as requested by other software applications which may run either on the same computer or on another computer across a network.

Pros

• Reduce temporary database problem
• Separate security for privileges
• It Maintains standby server
• Supports SQL language

Cons

• Services issue to import files
• It’s Ideal for only large organizations

4) MongoDB

• Developed By: MongoDB Inc.
• Written in c++, Go, JavaSript, Python
• Type: NoSQL

MongoDB is the most popular NoSQL database. MongoDB was written in C++, Go, JavaScript, Python 11 years ago in 2009. MongoDB is developed and maintained by MongoDB Inc.

On October 20, 2017, MongoDB became a publicly-traded company, they listed an IPO price of $24 per share.

MongoDB’s main future includes Ad-hoc queries (supports field, range query, regular expression searches), indexes, Replication, Load balancing, File Storage, Server-side JavaScript execution, Capped collections, and much more.

In MongoDB schema can be written without any downtime. The DB size of MongoDB is circumscribed to 2.5 GB on 32bit systems. MongoDB uses WiredTiger and MMAPv1 storage engines.

Pros

• Separate security for privileges
• High Performance
• Flexibility, Scalability
• Easy-to-use documentation
• It Maintains standby server
• Supports SQL language

Cons

• Services issue to import files
• It Doesn’t Support SQL language

5) PostgreSQL

• Developed By: PostgreSQL Global Development Group.
• Written in c
• Type: SQL

Another SQL-based RDBMS is PostgreSQL that ranks 5th on our list. Just like MySQL, it’s an opensource and free technology developed by PostgreSQL Global Development Group.

It can be used by a programmer, organization, giant companies,  system administrator, or by any software profession. PostgreSQL allows defining own data types, index types, etc.

You can develop your own plugin to meet your own requirements.

PostgreSQL is originally based upon relational algebra and tuple relational calculus. PostgreSQL consists of many types of statements including DQL, DDL, DCL, DML.

Pros

• Simple syntax
• Transactions
• Extensibility
• Ubiquity
• High Security

Cons

• Not support for XML or OLAP
• Slower Performers but not too much
• Take a lot of effort to create incremental backups

6) MariaDB

• Developed By: PostgreSQL Global Development Group.
• Written in C, C++, Perl, Bash
• Type: SQL

MariaDB Corporation AB, MariaDB Foundation

Another SQL based database ranks 6th on our list of the best database to learn in 2020. It is a community-developed RDBMS. It intended to remain free, open-source software under the license of General Public Licence.

It intended to maintain with MySQL, it ensures a drop-in replacement capability with library binary parity and exact matching with MySQL APIs.

It’s features are just like MySQL.

Pros

• Simple syntax
• Ubiquity
• Open Source and interoperability
• High Security
• Fast
• Support for XML

Cons

• Not for small organization

7) DB2

• Developed by: IBM
• Written in C, C++, Assembly language
• Type: SQL

DB2 is a SQL database originally developed by IBM. It is a part of the DB2 family by IBM. It was first released in 1987, 33 years ago.

On the date of June 27, 2019, IBM released Db2 V11.5, the Artificial Intelligence Database. It is powerful due to AI.

Db2’s newer version is built for AI through the enhancements to support popular languages and frameworks used by AI developers so developers can manipulate data.

It has native language support for Python, Java, Go, Node.js, PHP, RubyJava. It supports Ide’s including Visual Studio Code and Jupyter notebooks. 

PROS OF DB2

• Run multiple jobs using Task Scheduler
• Support for both SQL and NoSQL data models
• Hosted from the cloud server
• Error codes and exit codes can determine

CONS OF DB2

• High cost for a small organization
• Basic support is available for only three years

8) Cassandra

• Developed by: Apache Software Foundation
• Written in Java
• Type: NoSQL

Cassandra is a NoSQL type free and DBMS (Data Base Management System) by Apache designed to handle large amounts of data across many commodity servers.

Cassandra proved high availability with no single point of failure. It offers strong support for clusters spanning multiple datacenters.

Apache Cassandra offers the distribution design of Amazon DynamoDB with the data model of Google’s Bigtable.

Pros

• continuous data availability
• Cost-effective and low maintenance database platform
• High Performance
• Low Tolerance

Cons

• Database event logging can be handled more efficiently
• It does not support aggregates
• Cassandra doesn’t fit for transactional data

9) Redis

• Developed by: Salvatore Sanfilippo
• Written in ANSI C
• Type: NoSQL

Redis (Remote Dictionary Server) is an open-source, networked, in-recollection DBMS.

Redis is a NoSQL type that supports different kinds of abstract data structures that includes lists, strings, amps, sets sorted sets, HyperLogLogs, bitmaps, streams, and spatial indexes.

At present, it is maintained by Redis Labs but it was developed by Salvatore Sanfilippo.

Pros

• Redis is fully managed as well and eliminates a lot of burdens.
• Redis is integrated with Cloudwatch.
• Quick and easy to deploy and configure the Redis services

Cons

• Expensive
• No backup preserved.

10) Couchbase

• Developed by: Couchbase Inc.
• Type: C, C++, Go, Erlang

Couchbase Server, known as Membase, is an open-source NoSQL type. Couchbase’s main future includes Ad-hoc queries (supports field, range query, regular expression searches), indexes, Replication, Load balancing, File Storage, Server-side JavaScript execution, Capped collections, and much more.

Couchbase Server provides live cluster reconfiguration, client protocol compatibility, rebalancing, and multitenancy with data partitioning.

Pros

• In-built SDKs
• Easy to scale development

Cons

• Manipulating large volumes of data can be slow
• Requires a dedicated team to support and maintain the database through Couchbase

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