Shulou(Shulou.com)05/31 Report--

This article mainly explains "what is the open source database that is more suitable for the Internet of things". Interested friends might as well take a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn what the open source database is suitable for the Internet of things.

The Internet of things produces a large number of data, including stream data, time series data, RFID data, sensor data and so on. To manage this data effectively, you need to use a database. The nature of Internet of things data requires a different type of database. Here are some databases that give very good results when used with the Internet of things.

The Internet of things can be seen as a network in which things are connected to each other through a common platform. Just imagine a scenario in which each device connects at home to the workplace, and in a world, the air conditioner automatically lowers its temperature when the temperature outside the room rises, and when the number of people at any public gathering is easy to know, when a person's health can be monitored every day. This is the possible impact of the Internet of things.

The current state of the Internet of things is very fragmented. Different companies and organizations are building their own platforms for their customers or their personal needs. However, there is no universal platform that allows all devices (no matter which company they belong to) to connect to each other through a user-friendly interface.

It is estimated that the number of Internet of things devices will reach trillions in the next five years.

Does the Internet of things need a database?

The Internet of things brings many tedious challenges, especially in the field of database management systems, such as real-time integration of massive data, handling events in the flow and dealing with data security. For example, the Internet of things-based traffic sensors applied to smart cities can generate a large number of traffic data in real time.

Database plays a very important role in fully dealing with the data of the Internet of things. Therefore, the appropriate database is as important as the appropriate platform. Because the Internet of things runs in different environments in the world, it becomes very challenging to choose the right database.

The factors that should be considered before selecting a database for Internet of things applications are:

Hongmeng official Strategic Cooperation to build HarmonyOS Technology Community

Size, size, and index

The effectiveness of dealing with large amounts of data

User-friendly mode

Portability

Query language

Process modeling and transaction

Heterogeneity and integration

Time series aggregation

Archiving

Security and cost

The data types in the Internet of things are:

Hongmeng official Strategic Cooperation to build HarmonyOS Technology Community

RFID: radio frequency identification

Address / unique identifier

Descriptive data for processes, systems, and objects

Pervasive environment data and location data

Sensor data: multidimensional time series data

Historical data

Physical model: a model as a template for reality

Actuator status and control command data

Database of aptamer network

InfluxDB

InfluxDB: the influenza database was first released in 2013 and is one of the most recent databases. The database is completely based on the key-value database LevelDB and is developed by Go programming language. InfluxDB is a time series database used to optimize and process time series data. Time series data was first released by Kdb in 2000, but with the rise of the Internet of things, with the emergence of NoSQL, NewSQL and a large number of growing data, InfluxDB has become popular.

The advantages of using InfluxDB for Internet of things data include:

Allow indexing of sequences

It has a query language similar to sql

Provide built-in linear interpolation for missing data

Support automatic downsampling of data

Support for continuous query computing aggregation

CrateDB

CrateDB: CrateDB is a distributed SQL database management system. It is open source, written in Java, and contains components from Facebook Presto, Apache Lucene, Elasticsearch, and Netty-so it is designed for high scalability. CrateDB is designed to make the Internet of things data work. From the industrial Internet to connected cars to wearable devices, CrateDB is the database of choice for innovators in new Internet of things solutions.

The advantages of using CrateDB for Internet of things data include:

Millions of data points per second: fast, linearly scalable data intake

Real-time queries: columnar indexes and field caches provide SQL performance in memory

Dynamic mode: dynamically adding and querying new sensor data structures

Internet of things analysis: fast and robust time series, artificial intelligence, geospatial, text search, connection, aggregation

Always on: built-in data replication and cluster rebalancing ensure uninterrupted performance

ANSI SQL: no lock, easy for any developer to use and integrate

Built-in MQTT agent: directly integrate devices with databases

Internet of things ecosystem: using popular Internet of things stack software such as Kafka, Grafana, NodeRED, etc.

Can be run anywhere for efficient processing at the edge or in the cloud

MongoDB

MongoDB: MongoDB is a free, open source, cross-platform, document-oriented database program. It is classified as a NoSQL database program. MongoDB uses json-like documents with schemas. It is the first choice for Internet of things organizations because it allows them to store data from any context, analyze it in real time, or change the pattern as they proceed.

The advantages of MongoDB for Internet of things data include:

Powerful database

Document oriented

Have a general purpose

As an NoSQL database, it uses JSON-like documents with schemas

RethinkDB

RethinkDB: RethinkDB is at the top of the list of open source databases. It is a scalable real-time Web JSON database built from scratch. RethinkDB introduces an exciting new access model by changing the traditional database architecture. When the developer issues a command to it, it can constantly push the updated query results to the application in real time. This is a feature that developers call change feed. RethinkDB acts as a message agent for databases, real-time repositories, and system status, which is allowed by change feed. Its real-time push architecture greatly reduces the time and effort required to build scalable real-time applications.

The advantages of using RethinkDB for Internet of things sensor data include:

RethinkDB has an adaptive query language to check API, which is very easy to set up and learn.

If the primary server fails, the command is automatically transferred to the new server.

Node real-time plug and play function, no need to stop for a second, easy to add nodes.

Provide asynchronous query and asynchronous application programming interface through Eventmachine in Ruby and Tornado.

It provides SSL access only for secure access to RethinkDB over the public Internet.

Floor, ceil, and round are various mathematical operators provided by RethinkDB.

SQLite

The SQLite database engine is a process library that provides a serverless (self-contained) transactional SQL database engine. Because of its portability and small memory footprint, it has a significant impact on game and mobile application development.

SQLite is suitable for devices that do not require any human support because the database does not require administrative privileges. It is ideal for mobile phones, set-top boxes, televisions, game consoles, cameras, watches, kitchen appliances, thermostats, cars, machine tools, airplanes, remote sensors, drones, medical devices and robots, and the Internet of things.

The client / server database engine is designed to reside in the data center at the core of the network. SQLite also works there, but SQLite is also thriving at the edge of the network, providing itself with fast and reliable data services as well as applications with unreliable connections.

The advantages of using SQLite for Internet of things data include:

Small memory footprint

It is true

There is no need to set up before use

No dependence.

Cassandra

Apache Cassandra: Apache Cassandra is a free and open source distributed NoSQL database management system, originally released in 2008. It is designed to process large amounts of data through many commercial servers, providing high availability without a single point of failure.

In the Internet of things, due to the large number of connected devices, the scale of generating, tracking and sharing data through various networks is very large. Cassandra is very good at leveraging large amounts of time series data directly from devices, users, sensors, and similar mechanisms that exist in different geographic locations.

Advantages of using Apache Cassandra in the Internet of things

The data include:

Fault tolerance

Demonstrate high performance

Decentralization: every node in the cluster is the same

Scalable

Persistence

Ensure controllability: synchronous replication and asynchronous replication can be selected for each update

Flexibility: both reading and writing are performed in real time, and there is no downtime for any application.

Professional support: strengthen contracts and services provided by third parties.

At this point, I believe you have a deeper understanding of "what is an open source database that is more suitable for the Internet of things". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.