With MongoDB sharding, Telefónica Tech runs well over 115,000 queries per second. MongoDB’s sharding technology was the right choice for them since it was the best fit for their cost and capacity needs. To keep up with the ever-increasing device usage, they needed a platform that could scale elastically and manage a fast-growing data environment. This allows MongoDB to perform queries without putting much strain on the server.įor example, Telefónica Tech manages over 30 million IoT devices worldwide.

You can break up this large collection into multiple smaller collections using MongoDB sharding. Every collection consists of various documents that contain data in the form of key-value pairs. Generally, a MongoDB database contains a large number of collections. The primary purpose of using a NoSQL database is its ability to deal with the computing and storage demands of querying and storing humongous volumes of data. For instance, relational databases like MariaDB (a part of the high-performance server stack at Kinsta) and NoSQL databases like MongoDB. Today, most of the databases in the market support database sharding. Availability of cloud deployment: As more companies transition to the cloud, it is important to determine whether the third-party product can be deployed in a cloud environment.īased on these factors, you can now decide to either build a sharding solution or pay for a solution that does the heavy lifting for you.Customer support and online documentation: In cases where you may encounter challenges or require assistance during integration, the quality and availability of customer support and comprehensive online documentation become crucial.The convenience and ease with which you can integrate your applications with the product is a key factor to consider. The data model and API offered by the system: Every data system has its own way of representing its data.Developer skills and learnability: The learning curve associated with the product and how well it aligns with the skills of your developers.To make this choice, you need to consider the cost of 3rd party integration, keeping in mind the following factors: Build vs Buy for a Sharding Solution Meme Image (Image Source: LinkedIn) This raises the question of whether building a sharded solution or paying is more suitable. When implementing a sharded database, there are two primary approaches: developing a custom sharding solution or paying for an existing one. Database Sharding Illustration (Image Source: LinkedIn) This process of dividing and distributing data is what constitutes database sharding. These smaller parts, or shards, are independent subsets of the overall database. Database sharding is a database management technique that involves partitioning a growing database horizontally into smaller, more manageable units known as shards.Īs your database expands, it becomes practical to divide it into multiple smaller parts and store each part separately on different machines.

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