With the popularity of python growing rapidly, Python has become a powerful tool for various tasks ranging from web development, data analytics etc. Django is one of the most popular and easiest python frameworks for developing website as it allows developers to build various types of websites using python language. The use of language in computing also provides a high-level programming language which is used for different scientific and analytical computations.
As Python is one of the most sought after programming languages, data can be seamlessly interfaced with no hassle at all. Although, there are different databases available for Python to process data, Postgres is a popular choice for developers who want their programs to grow in the long run. There are many reasons why Postgres is considered as one of the best open source databases and is often used by Python programmers. Some of them are listed below; open source database examples and best database for python django
Best open source database for python
Digital transformation, regardless of whether a private venture or large organization, has empowered companies to produce information at every touchpoint. Irrespective of the organization, each organization requires a database to sort out and store its fundamental data. To provide such a facility, the database management system software is to the rescue.
A database can be referred to as a room inside an office where all the essential information and reports are stored. The information which gets stored is extremely sensitive, hence we have to be ultra-careful while we access the information in the database.
With the ascent of Microservices, Cloud, Distributed Apps, Semi-Structured Data, Big Data, Low Latency Data and so on, the customary SQL list of most popular databases are currently joined by different NoSQL, NewSQL, and Cloud databases.
Stating the wide use and popularity of different types of databases in responsive web development applications, here are some facts about the best database for web apps in 2022 or upcoming years:
According to reports by business.com, 91% of companies with more than 11 employees use CRM software.
A report by Nucleus Research states that 65% companies that are using mobile web development CRM are achieving their sales quotas.
According to Future Market Insights, the mobile CRM market is expected to grow at an approximate CAGR of 13% over 2019-2029.
Now, let’s dive deep into the types of popular databases for web applications.
Which is best Database for web applications In 2022?
1. The Oracle
Oracle is the most widely used commercial relational database management system, built-in assembly languages such as C, C++, and Java. This database’s most recent version, 21c, contains a slew of new features.
Oracle is the database management system that stands above the others. Overall, it is the most extensively used RDBMS. It takes up less space and processes data faster, and it includes several new useful features such as JSON from SQL.
2. MySQL
MySQL is one of the most popular databases to use in 2022 in the computer world, especially in web application development. The main focus of this database is on stability, robustness, and maturity. The most popular application of this database is for web development solutions.
MySQL is written in C and C++ and uses a structured query language. MySQL 8.0 is the most recent version of this database, and it includes a better recovery option. The best SQL database comes in a variety of editions, each with its own set of features.
3. MS SQL Server
Microsoft provides great toolset support for one of this best database software, both on-premise and in the cloud. It’s attuned well with Linux and Windows systems. MS SQL is a multi-model database that supports Structured Data (SQL), Semi-Structured Data(JSON), and Spatial Data.
It is not as inventive or advanced as other modern list of popular databases, but it has undergone considerable improvements and overhauls over the years.
4. PostgreSQL
POSTGRES was the initial name of the database. Michael was also honored with the Turing Award for his contributions to PostgreSQL.
PostgreSQL is a database management system written in C and used by businesses that deal with huge amounts of data. This database management software is used by several gaming apps, database automation tools, and domain registrations.
5. MongoDB
When it comes to most popular databases to use in 2022 through a NoSQL database, there are a few things to consider. MongoDB is the first Document Database management software that was released in 2009. It is challenging to load and access data into RDBMS using object-oriented programming languages which also require additional application-level mapping. Thus, to overcome this problem, Mongo was developed to handle Document Data.
6. IBM DB2
IBM also offered DB2 LUW for Windows, Linux, and Unix. DB2 11.5 is the most recent release, and it speeds up query execution.
The list of databases for mobile apps supports the relational model, but it has grown significantly in recent years. It now supports object-relational features and non-relational forms such as JSON and XML.
7. Redis
It is a popular open-source database project. According to Stack Overflow’s Annual Developer Survey, Redis is ranked as the Most Loved Database platform. As a distributed, in-memory key-value database, it can be used. Redis can also be used as a distributed cache and message broker, with durability as an option.
8. Elasticsearch
Elasticsearch is an open core full-text search engine based on Lucene that was first released in 2010 by Shay Banon. It’s a full-text search engine with a distributed, multi-tenant capability and a REST API.
It provides horizontal scaling via automatic sharing and REST API. It also supports structured and schema less data (JSON), which is especially suited to analyze Logging or Monitoring data.
9. Cassandra
It is an open core, distributed, wide column store and commonly used database for an application that was developed in 2008. This is a highly scalable database management software that is widely used by the industries to handle massive data.
One of its main features is its decentralized database (Leaderless) having automatic replication and multi-data center replication, leading it to become a fault-tolerant base without any failures. Cassandra has several different operations and infrastructure. Cassandra and HBase databases go a long way and have different use cases according to their types.
10. MariaDB
It is a Relational Database Management System which is compatible with MySQL Protocol and Clients. The MySQL server can be easily replaced with MariaDB without requiring any code changes.
This management system provides columnar storage with massively parallel distributed data architecture. In comparison to MySQL, MariaDB is more community-driven.
11. OrientDB
OrientDB is an open-source database with NoSQL multi-model database program that enables businesses to leverage the capabilities of graph database management software without having to build several systems to handle different data types.
It is a management solution with support for graph, document, key value and object-oriented database models that improves performance and security while also allowing for scalability.
12. SQLite
SQLite is an open-source best SQL database with an integrated relational database management system. It was created in the year 2000. It’s a top database that requires no configuration and doesn’t even require a server or installation. Despite its simplicity, it contains many commonly used database management system software functionalities to be used in mobile web development like react native.
13. DynamoDB
DynamoDB is a nonrelational best database from Amazon. It is a serverless database for mobile apps that scales up and down automatically while also backing up your data.
This database program features built-in security and in-memory caching, as well as consistent latency.
14. Neo4j
Neo4j is an open-source, Java-based NoSQL graph database that was launched in 2007. It uses a query language known as Cypher, labeled on its site as the most efficient and expressive way to describe relationship queries.
In this database management system software, your data is saved as graphs rather than tables. Neo4j’s relationship system is quick that allows you to create and use other relationships later to “shortcut” and speed up domain data as the need arises.
15. Firebirdsql
Firebird is a free SQL relational database management system software that operates on Mac OS X, Linux, Microsoft Windows, and a variety of Unix platforms.
This best free database for web applications has upgraded the multi-platform RDBMS. From firebird memberships to sponsorship commitments, it offers a variety of financing choices.
What Is The Easiest Database To Use?
Database software tools power pretty much every application you can consider. But here, the query is truly for which purpose you’re looking for. For example, at university, we train novice students about best database for web applications and software using Microsoft SQL Server. When they ace the database essentials, they can without much of a stretch progress to MySQL and Oracle.
While most databases for mobile apps are the same, it is fundamental to become familiar with the basics of most popular SQL databases and explanations since they can be applied easily to most and popular database systems. It would be better for you to learn it by composing SQL statements first as opposed to utilizing a GUI approach.
When you understand the key ideas, you’ll see that it’s such a simple way to apply them to any database management software utilizing any IDEs, GUI included.
Which Database Is Best For Python?
The Python programming language has amazing database programming features. Python upholds different list of databases like SQLite, Oracle, MySQL, PostgreSQL, and so forth. Python likewise supports Data Definition Language (DDL), Data Manipulation Language (DML), and Data Query Statements. Python DB-API is the Python standard for database interfaces. Most Python database interfaces stick to this norm.
Here we will talk about one of the best databases for web applications: SQLite
SQLite
SQLite is likely the most clear database and the most popular SQL databases to connect with a Python application since you don’t have to install any external Python SQL database or type or SQL database modules. As a matter of course, your Python installation contains a Python SQL library named SQLite3 that you can utilize to connect and interact with an SQLite database.
open source database examples
| S. No. | Database Name | Type |
| 1 | PostgreSQL | Object-Relational Database Management System |
| 2 | MariaDB | Relational Database Management System |
| 3 | CockroachDB | Relational Database Management System |
| 4 | Neo4j | Graph Database Management System |
| 5 | CoughDB | NoSQL Database Management System |
| 6 | RethinkDB | Distributed Document-oriented Database Management |
| 7 | Redis | NoSQL Database Management System |
| 8 | SQLite | Relational Database Management System |
| 9 | Cassandra | NoSQL Database Management System |
| 10 | Timescale | NoSQL Database Management System |
Figure 1: Top 10 free and open source database and their type
Top 10 open source databases
1 PostgreSQL
PostgreSQL is an object-relational database management system, founded on July 8, 1996. Developed by the PostgreSQL Global Development Group, it is written in C and works in most UNIX-like operating systems and Windows.
Features
a. PostgreSQL works with every significant language and middleware.
b. It bolsters simultaneous control.
c. Its server-side programming usefulness is extremely full-grown.
d. It has support for JSON licences.
2 MariaDB
MariaDB is a network created relational database management software system, written in C, C++, Bash and Perl. The stable version 10.3.12 of this free and open source database management software has the date January 7, 2019. MariaDB Corporation AB and MariaDB Foundation are the developers of this database.
Features
a. MariaDB is comparable to MySQL, with some additional features. It can be viewed as an evolved variant of MySQL.
b. Programming in MariaDB is covered by BSD, GPL, and LGPL licences.
c. The framework uses a rearranged and standard questioning language.
d. It supports an assortment of working frameworks and programming dialects.
e. It offers special help for PHP.
3 CockroachDB
CockroachDB is a distributed SQL (newSQL) database built on a transactional and strongly-consistent key-value store. It’s heavily inspired by Google’s Spanner and has many similarities with it.
Features
a. Distributed or replicated OLTP
b. Multi-data centre deployments
c. Multi-region deployments
d. Cloud migrations
e. Cloud-native infrastructure initiatives
4 Neo4j
Neo4j is a graph database management system. Its stable version 3.5.1 was released on December 20, 2018.
Features
a. It is ACID (atomicity, consistency, isolation, and durability) compliant.
b. It encourages versatility.
c. Replicates information with quality and security.
d. It works with Web applications for recovering chart information.
e. It bolsters enquiry information sent out to JSON and XLS design.
5 CouchDB
CouchDB has been developed by the Apache Software Foundation, and is written in Erlang language. The stable version 2.3.0 was released on December 6, 2018.
Features
a. It is ACID compliant.
b. Has a distributed design with replication.
c. CouchDB gives accessibility such as parcel resilience, ensuring competency.
d. The information in the CouchDB framework is stored as ‘records’.
6 RethinkDB
RethinkDB is an open source database that, in contrast to customary database frameworks, stores data in the JSON (JavaScript Object Notation) group. It’s viewed as a NoSQL (Not only SQL) database, just like MongoDB, Cassandra, and CouchDB.
Features
a. No mapping or table structure is required for putting away the data.
b. Distributed engineering helps it to scale (in groups).
c. It has:
- Consistency (similar information can be viewed by all the customers of the framework)
- Availability
- Partition tolerance
7 Redis
Redis is an open source (BSD authorised), in-memory information structure store, used as a database, reserve and message dealer. It enhances information structures — for example, strings, hashes, records, sets, arranged sets with extend enquiries, bitmaps, hyperlogs, and geospatial files.
Features
a. In-memory data store
b. Flexible data structures
c. Simplicity and ease-of-use
d. Replication and persistence
e. High availability and scalability
8 SQLite
SQLite is a C programming library. The word ‘lite’ in the name indicates that the organisation, arrangement, and basic source of the database is lightweight. Created by D. Richard Hipp on August 17, 2000, the stable version of SQLite 3.26.0 was released on December 1, 2018.
Features
a. SQLite programming enhances cross-stage document design.
b. It needs less programming. The whole library is under 500 KiB in size.
c. It has a static composing group, which is usable in most SQL database motors.
d. SQLite utilises variable-length records.
e. The SQL explanations are compiled into virtual machine code.
9 Cassandra
Cassandra comes from the stable of the Apache Software Foundation, and is a free and open source DBMS written in Java. Authorised under Apache License 2.0, its stable version 3.11.3 was released on August 1, 2018.
Features
a. Apache Cassandra is a NoSQL database.
b. It supports replication and multi-server farm replication.
c. It is adaptable and reliable.
d. A distributed database, its conveyance plan relies on Amazon DynamoDB and information model on Google Cloud Bigtable.
e. Cassandra can run on sensitive equipment and perform quick writes to store a lot of information.
10 Timescale
New technologies require new sorts of databases. One of the best open source databases for the Internet of Things is Timescale.
Features
a. Hypertable abstraction layer
b. Automatic partitioning
c. Optimised time based constraint exclusion
d. Works across time-series and relational tables
e. Built-in flexible time bucketing
best database for python django
What is django?
Firstly, Django is a free and open-source framework written in Python for developing web applications, and to do it faster and easier, because it already comes with certain applications like user authorization and email sending which you can easily plug into your existing application. It follows the Don’t Repeat Yourself (DRY) principle, so you don’t need to rewrite existing code. On top of that, it has a powerful template (files with HTML code used to render data) engine and its own markup language. Django is especially useful for database-driven websites because of its Model-View-Template (MVT), and there’s hardly any application without a database.
The MVT allows developers to change the visual part of an app without affecting the business part of the logic, and vice versa.
Django officially supports the following databases:
- PostgreSQL
- MariaDB
- MySQL
- Oracle
- SQLite
You can also check out this [Django community on discord](In case you have other doubts, you can post your queries in this [discord channel], it’s growing.
Which is the best database for django?
Among these the best-suited database is PostgreSQL. Django supports PostgreSQL 9.5 and higher. psycopg2 2.5.4 or higher is required, though the latest release is recommended.
PostgreSQL is a free and open-source relational database management system (RDBMS). An RDBMS organizes data in tables of rows and columns (non-relational databases store data in non-tabular forms, whatever they may be). Like many other RDBMSs, PostgreSQL uses structured query language (SQL) to manage and query data. Three of the most widely implemented open-source RDBMSs are SQLite, MySQL, and PostgreSQL. When a web application is set up using Django, an SQLite database is automatically set up for the backend of the application. However, we can customize it to use another RDBMS.
Advantages of PostgreSQL
Data Types: All needed data types are supported in PostgreSQL like a Primitives (integer, numeric, string, boolean, etc), Structured (date/time, timestamp, interval, array, range, UUID, enum, etc), Documents (JSON, XML, Hstore, etc), Geometry (point, line, circle, polygon, etc) and Customized Types defined by you.
Data Integrity: The best-needed constraints are supported in PostgreSQL like UNIQUE, NOT NULL, Primary Keys, Foreign Keys, and Exclusions. You can use Explicit Locking (full ACID supported), Advisory Locks. Concentrate all of your business rules into the databases.
Concurrency and Performance: Some powerful types of basic/advanced indexing methods like B-tree, Multicolumn, Expressions, Partial, GiST, SPGist, KNN Gist, GIN, BRIN, Bloom filters. Take the best of a sophisticated query planner/optimizer. Use index-only scans and multi-column statistics. You can do the best with Transactions, Nested Transactions (via savepoints), Multi-Version Concurrency Control (MVCC), Parallelization of reading queries, and Declarative Table partitioning.
Reliability, Disaster Recovery: PostgreSQL has a Write-ahead Logging (WAL) to provide data assurance. He never loses data by yourself. Replicate your data using Master/Slave Native Replication. The replication can be Asynchronous, Synchronous, Logical (providing Publication / Subscription resources). You can do a Point-in-time recovery (PITR) or use active standbys. Finally, distribute data between storages using Tablespaces.
Security: About security, you can use Authentication methods like GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, and more. PostgreSQL has SSL encryption native support on traffic data, between Client and Databases. Your data is always protected by a man in the middle attacks. You can use a robust access control system, in tables, objects, columns, and at row-level too.
Extensibility: Use stored procedures, functions in procedural languages like PL/PGSQL, Perl, Python (and many more). Connect, Read, and Write data from other databases or streams with a standard SQL interface using Foreign data wrappers. Use many extensions that provide additional functionality, including PostGIS.