The best IoT databases for the edge – an overview and guide

Business News | 15 Oct |

IoT edge is an internet of things service that enables the users to carry out edge computing. If you are reading this article, the chances are that you might already know a thing or two about edge computing. The main difference between edge and cloud computing is that in edge, data is analyzed on the edge of the network, rather than on the cloud. So, data transferring, cleaning, aggregation, and analysis is much easier. It results in reduced costs, quicker response time, and reduce traffic when compared to cloud computing. If you want to solve problems related to cloud computing like internet uploading speed problems, you can find out more here.

Moreover, if you are looking for an IoT database for the edge, you have to keep a few things in mind. In this article, I am going to highlight the best IoT databases for the edge so that you know where to begin. So, without further ado, let’s carry on with the guide.

Realm

It has one of the most defined database libraries as Realm was acquired by MongoDB in 2019. The Realm is a NoSQL database, which is ACID-compliant. ACID-compliant means that it has four components named atomicity, consistency, isolation, and durability. All of these four components ensure that the transactions through this database are completed in a timely manner.

Badger

Badger is one of the most fastest and efficient graph databases on the list and koretrak reviews The best part about using this database is that it supports easy horizontal scaling, replicates data synchronously to prevent any loss, automatically does load balancing, and utilizes SSDs instead of putting pressure on RAM. It is also ACID-compliant, NO SQL, LSM tree-based key-value database, which is another plus.

Berkeley DB

Having a static library of less than 1MB, Berkeley DB is another ACID complaint embedded key-value store that works best with IoT edge. The benefit of using this database is that it supports different languages such as C++, C#, Java, Perl, PHP, Python, Ruby, etc. However, Berkeley DB doesn’t offer any synchronization support, which is exactly why it is listed lower than the rest of the databases.

LevelDB

It is a very unique database that provides support from any ordered mapping from string keys to the string value. Consisting of a key-value storage library which is written in C++, LevelDB also supports other languages such as C, Go, NodeJS, and Java. However, you have to keep it in mind that LevelDB runs on-disk, and it is queried without SQL. It also doesn’t provide many key features such as server or command line interface, indexes, and synchronization.

RocksDB

Last but not least, RocksDB offers a commendable key-value store for SSD and RAM storage. While it is not ACID-compliant, but it is embedded with the NoSQL database, which means that it supports Java, Python, NodeJS, Go, PHP, and Rust. Moreover, synchronization is another thing that is not possible with RocksDB, so you must keep it in mind.

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