Top 15 Emerging Databases to Use in 2022 and Beyond

Databases and applications are sprouting up everywhere. Unfortunately, figuring out which one will work best for you might be difficult. Here is a detailed look at the most often used databases.

#1: The Oracle

One of the most well-known database management service platforms is Oracle Database, or Oracle. It has assembly languages like Java, C, and C++ built-in.

Oracle Corporation creates and sells this multi-model database system. Online transaction processing, also known as OLTP, mixed database workloads, and data warehousing are the main uses of Oracle.

Key features:

· SQL and PL/SQL Support

· ResultSet Support

· Date-Time Data Types

· Two-Phase Commit Protocol

· Heterogeneous Replication

· Piecewise LONG Data Type

#2: Redis

According to the Annual Developer Survey conducted by Stack Overflow, Redis is the most favoured database platform. Due to its in-memory key-value database features, it is well-liked among developers.

Redis can also be used as a message broker and distributed cache.

Key features:

· Data persistence

· Chat and messaging applications

· Gaming leaderboard applications

· Rich data structures

· High availability and scalability

#3: Firebirdsql

A free database management system is called Firebird. It is SQL relational and compatible with several Unix, Linux, and Microsoft Windows platforms.

Web applications with improved multi-platform RDBMS work best with this database. When it comes to membership and commitments, you have many options.

Key features:

· Common Table Expressions

· Highly compatible with NASI SQL

· Cross-database queries

· Flexible transactions management

· User-Defined Functions

· Active tables concept and events

#4: MySQL

MySQL is one of the growing databases for web application development in 2022. This database prioritises reliability, maturity, and stability.

MySQL was created in C/C++ and employs structured query language. Additionally, a better recovery option is included in the most recent version of the database.

Key features:

· Scalable

· Client and utility programs

· Support for large databases

· Security

· Character sets

#5: Elasticsearch

Elasticsearch is a free to use open-source search and analytics engine. All sorts of data, including numerical, textual, structured, geographical, and unstructured, can be accommodated by it.

The search engine was first introduced by Shay Banon as a distributed, multi-tenant, full-text search engine with a REST API in 2010.

Key features:

· Automatic node recovery

· Horizontal scalability

· Rack awareness

· Clustering and high availability

· Automatic data rebalancing

· Cross-datacenter replication

· Cross-cluster replication

#6: Neo4j

Neo4j is a Java-based, open-source NoSQL database that was introduced in 2007. It is considered as one of the most effective ways to describe relationship queries and employs the well-known query language Cypher.

Your data is saved in graphs, not tables, with Neo4j. You can create and utilise other partnerships as short cuts thanks to its relationship system. As needed, this accelerates the domain data.

Key features:

· Follows Property Graph Data Model

· Supports UNIQUE constraints

· Supports full ACID

· Supports Indexes by utilizing Apache Licence

· It contains a UI that executes CQL Commands

#7: MS SQL Server

Microsoft also created a database software support tool for both on-premises and cloud versions. MS SQL Server supports structured, semi-structured, and geographic data and is compatible with Windows and Linux.

Despite not being as sophisticated as some of the other databases on the list, MS SQL Server has seen significant advancements throughout time.

Key features:

· Intelligence across data

· Choice of language and platform

· End-to-end mobile BI

· Most secured database platform

· High-availability

#8: Cassandra

In order to provide a highly scalable database for an application, Cassandra was created in 2008. It is now regarded as a highly scalable, open core, distributed, and complete column store. It is also among the most extensively used database management systems across a range of sectors.

Key features:

· Supports replication

· Supports multi-datacenter replication

· Fault-tolerance

· MapReduce support

· Query language

#9: DynamoDB

Amazon includes DynamoDB as one of its online services offerings. It is a fully managed, privately owned NoSQL database service that supports document data structures and key-value.

Despite having a distinct implementation, DynamoDB's service uses a data model that is similar to Dynamo's. In contrast to Dynamo, which has a multi-leader architecture, DynamoDB makes use of synchronous replications across a number of data centres.

Key features:

· Uses PartiQL

· Uses Amazon Kinesis Data Streams

· Resources DynamoDB tables at a faster rate

· Can export data from DynamoDB to Amazon Simple Storage Service

#10: PostgreSQL

Postgres is another name for PostgreSQL. It is a relational database management system (RDBMS) that is open-source. It is a free database that supports SQL and allows extensibility.

The system was given the name POSTGRES in honour of the Ingres database, which it replaced. In 1996, the name was changed to reflect SQL support.

Key Features:

· Table inheritance

· User-defined types

· Foreign key referential integrity

· Sophisticated locking mechanism

· Vies, rules, subquery

· Nested transactions

· Asynchronous replication

· Multi-version concurrency control

#11: MariaDB

MariaDB is an RDBMS, or relational database management system, that is compatible with the MySQL Protocol and Clients. No code modifications are necessary to switch from MySQL to Maria DB.

With a distributed data architecture that is extremely parallel, this database uses columns as storage. The GNU General Public License governs the community-developed open-source software known as MariaDB.

Key features:

· Wide selection of storage engines

· Uses standard and popular querying language

· Has InnoDB and XtraDB are known for high reliability and high performance

· Galera Cluster provides high up-time and prevents loss of data

· Has sequence engines that create various number sequences

#12: SQLite

An integrated RDBMS is part of the open-source library known as SQLite. Due to the lack of installation, configuration, or server requirements, it is one of the most popular databases used by developers.

Multiple programming languages have SQLite bindings. PostgreSQL syntax is used. However, type checking is not mandated by SQLite.

Key features:

· Available on UNIX and Windows

· Facilitates API for a variety of programming languages

· Cross-platform DBMS

· Facilitates efficient data storage

· Has variable column lengths for allocating only spaces for needed fields

#13: MongoDB

Document-oriented database software called Mongo DB is categorised as NoSQL and was created by MongoDB, Inc. It employs documents that resemble JSON and optional schemas.

Prior to MongoDB, it was challenging to use object-oriented programming languages to load and read data into RDBMS. They also required further application-level mapping. The creators of MongoDB added Document Data as a remedy.

Key features:

· Load balancing

· Replication for improved data availability/stability

· Ad-hoc queries for improved, real-time analytics

· More appropriate indexing for improved query executions

· Sharding

#14: OrientDB

A multi-model NoSQL database management solution is OrientDB. It was created in Java and is open-source.

Graph, document, object, and key/value models are further supported by OrientDB.

The application contains a robust profiling mechanism for increased security and supports a number of schema modes. Extendible hashing and B-tree-based multiple indexing processes are also used by OrientDB.

Key features:

· Unmatched security

· 24×7 support

· Incremental backups

· Query profiler

· Metrics recording

· Distributed clustering configuration

· Live monitor with configurable alerts

#15: IBM DB2

The IBM DB2 suite of data management solutions, which includes database servers, was first made available in 1993. In the end, they were improved to enable object-relational structures even though they were originally designed to support the relational model.

The brand's name underwent a number of revisions before landing on DB2. For Linux, Unix, and Windows, IBM provides DB2 LUW. The fastest query execution is available in DB2 11.5, the most recent version.

Key features:

· Scaling

· Multiple data types

· Multiple languages

· Continuous availability

· Automated administration and tuning