Top 10 Non SQL Database

It is a non-tabular database that collects data differently than relational tables and is not SQL. NoSQL databases will be the most popular in 2022. As opposed to relational databases, these databases don’t require fixed set columns in tables, horizontal support scaling, and do not use JOINS.

There are a variety of NoSQL databases available, depending on the type of data model. The major types include key-value, graphs, documents, and wide columns. With the advent of big data, companies are now dealing with millions of users and managing vast amounts of structured and unstructured data.

As a result of its agility and scalability, NoSQL has become the preferred solution for dealing with abnormal amounts of big data. Therefore, this blog post will discuss ten of the top open-source NoSQL databases that you can use to boost performance in your future projects.

10 Popular NoSQL Databases to Use in 2022

The following is a list of the Top 10 NoSQL Databases in 2022. NoSQL databases have many advantages over relational databases. Each NoSQL database has its own set of features, including horizontal scaling, flexible data models, fast queries, and more which you can read about this section.

1. MongoDB

A document-oriented cross-platform database program with source access, MongoDB is a document-oriented database program that uses JSON-like documents with optional schemas to store data. Besides indexing and ad hoc queries, MongoDB allows powerfully accessing and analyzing data in real-time.

MongoDB has a higher level of availability, geographical distribution, and horizontal scalability since it is a distributed database. A top choice for application developers, MongoDB also provides cryptographic security, SSL, and firewalls for its clients.

2. Apache Cassandra

Open-source NoSQL database Apache Cassandra manages unstructured data with thousands of writes per second and is highly scalable and available without affecting the application’s performance. Cassandra is the perfect choice for mission-critical data because of its fault tolerance and linear scalability on cloud infrastructures or commodity hardware.

In order to ensure the scalability and reliability of Cassandra, Apple, Netflix, Amazon, and others, test the system on 1000 node clusters, 100 real-world schemas, and 100 use cases. Cassandra can even handle the replacement of nodes without shutting down the system if one fails. Developers can also benefit from its ability to automatically replicate data across multiple nodes.

3. Apache HBase

Using Apache HBase, you can read/write Big Data in real-time when you randomly need to read/write it. Apache HBase is an open-source, distributed, non-relational database that runs on the Hadoop Database File System. In addition to linear scalability and consistent read/write, automatic sharding of tables, a user-friendly Java API, and real-time queries, the system also boasts several other features. HBase is built on top of Bigtable, a distributed storage system for structured data with applications that offer similar features to Bigtable.

4. Apache CouchDB

With Apache CouchDB, your data can be stored in JSON documents and easily accessed with a web browser as a document-oriented, open-source NoSQL database that uses a single node for storing and processing. There are many protocols and formats used by CouchDB for storing, processing, and transferring data.

CouchDB can scale up to multiple servers in a cluster when it comes to demanding projects. This device has been designed with a crash-resistant structure and reliability that gives it the capability to run “offline first” applications indefinitely and store data redundantly so that in case of emergency, it would remain accessible.

5. Neo4j

It provides an ACID-compliant transactional application backend, runtime failover, and clustering functionality. Neo4j is a graph-based NoSQL database with an ACID-compliant graph backend, runtime failover, and clustering functionality. It makes work easier due to its Cypher query language, constant time traversals, drivers for programming languages like JavaScript, Java, Go, and Python, and flexibility. Since Neo4j is able to connect data when it is stored in a database, it can access it more quickly than conventional databases. Because it doesn’t have tables, it doesn’t require joins either.

6. RavenDB

In addition to offering all of the benefits of a NoSQL database, RavenDB also includes many of the benefits of a relational database. The RavenDB data integrity system is completely transactional (ACID), so it can work with your existing SQL database and give you the best of both worlds. When the data traffic increases, RavenDB creates new nodes, which is why it is highly scalable.

7. Redis

As well as being an open-source, in-memory data structure store, Redis can be used as a cache, database, message broker, and cache with optional durability. Aside from bitmaps, range queries, streams, hyperloglogs, geospatial indexes, and set, hash, string, sorted set, and list data structures, Redis also has bitmaps, range queries, streams, hyperloglogs, and geospatial indexes. With its in-memory dataset, Redis maintains its extremely fast performance. In addition to automatic failover, Lua scripting, transactions, Pub/Sub, keys with a limited lifetime, and more, Redis has many features.

8. OrientDB

In addition to its high-performance, scalable operations, OrientDB is an open-source NoSQL database written in Java that blends the flexibility of documents with graphs. It is also very fast on both read and write operations and is written in Java. OrientDB provides high performance, a smaller footprint, enhanced scalability, reliability, higher security, and schema flexibility for your application data persistence needs.

9. DynamoDB

The DynamoDB NoSQL database is entirely managed by Amazon Web Services and supports document data structures and key-value cloud services. With DynamoDB, you can quickly scale and perform faster. DynamoDB also offers encryption at rest, so sensitive data is protected in a simple way. Additionally, DynamoDB supports point-in-time recovery and on-demand backups. Using it, developers can automatically scale their applications, back them up, restore them, and cach their data in memory.

10. HyperTable

Based on Google’s BigTable design, HyperTable is an open-source NoSQL database written in C++ and based on its scalability features. Besides supporting Node.js, Java, Ruby, Perl, PHP, Python, and others, HyperTable is also capable of handling comprehensive languages like Node.js, Java, Ruby, Perl, PHP, Python, and more. Additionally, it maximizes data efficiency with minimal performance and stability costs.

FAQ Non SQL Database

Conclusion

Despite their unique benefits, traditional schema-adhering SQL databases spend a lot of time verifying data on table columns to meet schema requirements. We discussed these most popular NoSQL databases above as a result of frustration with this. We’ve reviewed the top NoSQL databases and how they compare. The best NoSQL databases dominate the market, and we expect a more prosperous future for NoSQL databases. You can leave any further questions to us by leaving a message below.