{"id":555,"date":"2020-07-27T16:00:00","date_gmt":"2020-07-27T20:00:00","guid":{"rendered":"https:\/\/www.pwvconsultants.com\/blog\/?p=555"},"modified":"2020-07-27T15:01:16","modified_gmt":"2020-07-27T19:01:16","slug":"object-oriented-and-edge-databases","status":"publish","type":"post","link":"https:\/\/www.pwvconsultants.com\/blog\/object-oriented-and-edge-databases\/","title":{"rendered":"Object-Oriented and Edge Databases"},"content":{"rendered":"\n

There are several types of datastores<\/a> out there for use today, and it\u2019s likely that whatever datastore your company is using was implemented because it\u2019s what your programmers are used to using. That\u2019s not a bad thing, but there might be better options that complete the tasks you need done in a more efficient manner. In this installment of our series on datastores, we will discuss object and edge-based systems, what they are best used for and what they are not good at.<\/p>\n\n\n\n

Object databases are good when you have a lot of data about individual things. If you go back to the article on NoSQL<\/a>, there\u2019s a great example of how Facebook uses individual profiles to correlate data. Not relate, because this isn\u2019t relational, but all data under one profile belongs to that person and that\u2019s how it is stored. MongoDB and CouchDB are both examples of object-oriented databases.<\/p>\n\n\n\n

Now, the problem with object-oriented databases happens when you need a way to correlate data from multiple objects. In a relational database, you can complete this task, essentially, with a single query. But in an object-oriented database, it\u2019s going to take 3-4 calculations to get the list or return the answer you are looking for. This is because you\u2019re not looking by the object anymore, you\u2019re looking for one attribute of an object, which makes it more complex.<\/p>\n\n\n\n

Another problem you can run into with object-oriented databases is querying for a specific piece of data and instead getting a slew of information or at least walk down into it. As with all things object-oriented, when you ask for a banana, you end up getting the whole gorilla holding it. You may not have wanted the whole gorilla, but that\u2019s what you were given so now you must work with it.<\/p>\n\n\n\n

The key thing to remember with object-oriented databases is that the data is stored under an object. Whether that object is a person\u2019s Facebook profile, a city, a state, a country, a car, a brand of a product doesn\u2019t matter. All the data underneath the object belongs to the object, it\u2019s information about a specific item or person, which is the root of all the other data. So, when you\u2019re looking at these objects and the data around them, it\u2019s very efficient.<\/p>\n\n\n\n

Edge databases are designed to work with edge computing to process and store data faster. Edge computing can be defined as<\/a>, \u201ca part of a distributed computing topology in which information processing is located close to the edge \u2013 where things and people produce or consume that information.\u201d Essentially, edge computing uses algorithms that run locally on devices to make them run more efficiently and quickly.<\/p>\n\n\n\n

Edge databases store data for edge computing. This enables more efficient, real-time applications that are critical to companies. Virtual and augmented reality, self-driving cars, smart cities and building-automation systems require fast processing and response. Having that data in an edge database makes edge computing possible.<\/p>\n\n\n\n

\u201cEdge computing has evolved significantly from the days of isolated IT at ROBO [Remote Office Branch Office] locations,\u201d says Kuba Stolarski, a research director at IDC, in the \u201cWorldwide Edge Infrastructure (Compute and Storage) Forecast, 2019-2023<\/a>\u201d report. \u201cWith enhanced interconnectivity enabling improved edge access to more core applications, and with new IoT and industry-specific business use cases, edge infrastructure is poised to be one of the main growth engines in the server and storage market for the next decade and beyond.\u201d<\/p>\n\n\n\n

Increasing processing in the edge created the need for edge databases. The growth in this area of IoT has allowed for better responses in applications that need instant computing. Edge databases are designed specifically for edge computing and looking at specific sets of data. They are object-oriented in nature, not relational, and very efficient at what they do.<\/p>\n\n\n\n

Essentially, an edge database is a type of object-oriented database, but because it is becoming more of a necessity to various sectors of business, it is pertinent to have a solid understanding of what they are and what they are good for. Both edge and object-oriented databases are efficient at what they do, and they are useful in a variety of situations. Be sure to know the difference between all types of datastores when you implement a data storage system as this will ensure your data remains safe, protected, and used properly. <\/p>\n","protected":false},"excerpt":{"rendered":"

Object-oriented databases work differently than relational DBs. Edge databases are a type of object DB, but IoT advancements make it pertinent. <\/p>\n","protected":false},"author":1,"featured_media":577,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[961,958],"tags":[925,1273,1272,1284,1283],"yoast_head":"\nObject-Oriented and Edge Databases - PWV Consultants<\/title>\n<meta name=\"description\" content=\"Object-oriented databases work differently than relational DBs. 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