Learn more about a NoSQL database for IoT applications and the benefits you can get from using a non-relational database in these cases.
Best NoSQL Databases for IoT Applications: Commercial and Open Source
The Internet of Things (IoT) requires certain database characteristics. IoT encompasses a wide range of technology from smart objects to empowering RFID systems. Astoundingly, the IoT worldwide revenue is $34.8 billion and growing.
Building databases that support these devices can be challenging because of the need for fast speeds, Best Database Provider high data volumes and data integrity. Because these devices produce high speed unstructured data in large volumes, therefore using a NoSQL database for IoT proves to be the most practical and affordable option today.
The IoT landscape is rapidly changing, which means you need a flexible and responsive database to back your applications. An IoT NoSQL database will give you the freedom to scale as your needs adapt and will offer flexible schema. With the right database, you’ll still have access to rich analytical tools. But the best part is that NoSQL databases are extremely affordable and offer excellent security.
Few essential elements of an IoT database are that it must be:
High performance (IOPS)
Embedded and Cloud enabled
We break down what you need to know about building IoT applications using NoSQL databases and list out the best options available.
Is a NoSQL database Necessary for IoT Applications?
The very nature of IoT is that it is the real-time integration of data. To do that, you need to protect the data and ensure that it is accurate as you process it.
An example of the sheer amount of data an IoT application could generate would be from something like a traffic sensor. As cars pass by, the sensor logs that data in real-time. To handle that data, you need a database to serve as its platform.
Challenges of NoSQL for IoT
Challenges of using a NoSQL database for IoT come more from the development process than from the database itself.
Some developers get lulled into thinking they’ll put all the necessary data into a NoSQL database and figure out the schema later. But if you don’t create some form of structure for your data even within NoSQL, you risk the following challenges.
Poor data readability
The extreme flexibility of NoSQL is a great advantage, but it can become a disadvantage if you don’t plan for how to use the data.
Key Considerations When Selecting an IoT Database
When building an IoT application, you should consider these important factors in the database you select Buy Mobile Database.
Size, scale and indexing capabilities
Running querying support
But you’ll also want to think about the types of data you’ll be dealing with. Some examples of data types include.
Identifiers or addresses
Much, much more
Best NoSQL Database for IoT Options
We’ve put together a list of the best NoSQL databases for IoT options. Learn Best Database Provider their strengths, weaknesses and overall ratings to make the selection that is right for you.
BangDB is one of the most versatile NoSQL databases on the market since it allows you to store data in graph, key-value, document or columns. And BangDB is a transactional database allowing you to modify or manipulate large volumes of data quickly and efficiently. And in the process, the data holds its integrity to present accurate information in real-time.
BangDB is a newer arrival on the scene of NoSQL databases, allowing Buy Mobile Database it to be the most modern and functional option available on the market. You’ll find the convergence of AI, real-time streaming and edge computing to be an excellent database to meet the needs of a variety of application types, including IoT.
Seeking the Best NoSQL Database for IoT?
InfluxDB is another option that launched within the last decade. It was published in 2013 and is a key-value database. It uses Go programming language and is optimized to handle time-series data. It has many IoT benefits, including:
Built-in linear interpolation for missing data
Calculates aggregates based on continuous queries
SQL-like query language to help automate data downsampling
MongoDB is another NoSQL database option. It is free and open-source and is a document-based database. You can store all types of data and analyze it in real-time. Additionally, developers enjoy how they can change the schema as needed.
The database is incredibly efficient and allows for fast queries. Store large files or metadata with ease using MongoDB.
MongoDB is a leader in the NoSQL database as it is well established. But because of its age, it is not the most modern option on the market today.
Cassandra is an open-source NoSQL database. It provides excellent availability, linear scale, easy data distribution, and more.