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IndexedDB vs LevelDB: What are the differences?
Introduction
IndexedDB and LevelDB are two popular database systems used in web development. While both are NoSQL databases, they have some key differences that set them apart from each other. In this article, we will explore six major differences between IndexedDB and LevelDB.
Data Storage: IndexedDB is designed to store data on the client-side, within the browser. It provides a structured database that allows you to store large amounts of data and query it efficiently. On the other hand, LevelDB is an embedded database that is typically used for server-side storage. It offers a key-value store, making it more suitable for applications that require high-performance data storage and retrieval.
Data Querying: IndexedDB supports rich query capabilities, allowing you to perform complex searches and retrieve data based on specific criteria. It supports indexes, cursors, and range-based queries to efficiently query and filter data. In contrast, LevelDB is a simple key-value store and does not support advanced querying capabilities like indexes or complex queries. It is primarily optimized for fast key-based lookup and retrieval.
Concurrency Control: IndexedDB provides built-in support for transactions and allows multiple operations to be executed concurrently. It ensures data consistency and provides isolation between concurrent transactions. LevelDB, on the other hand, does not have built-in support for concurrent operations. It relies on external synchronization mechanisms like file locks or custom locking logic to handle concurrency control.
Disk Usage: IndexedDB stores data in a user's browser, typically within a limited storage quota. It provides mechanisms for managing this quota and storing data efficiently to minimize disk space usage. LevelDB, on the other hand, is an embedded database that stores data on disk. It does not impose any storage limits and allows you to use the available disk space to store data.
Key-Value Size: IndexedDB has a relatively larger key-value size limit compared to LevelDB. The maximum size of a key-value pair in IndexedDB can vary depending on the browser implementation but is generally higher than the key-value size limit in LevelDB. This makes IndexedDB a better choice for applications that require storing larger values.
Support and Ecosystem: IndexedDB is well-supported in modern web browsers and has a wide range of libraries and frameworks built around it. There is a large community of developers using and contributing to IndexedDB, which ensures continued updates and improvements. LevelDB, on the other hand, is a more low-level database and has a smaller user base and ecosystem compared to IndexedDB.
In summary, IndexedDB is a client-side database that supports complex querying, provides concurrency control, and has a larger key-value size limit. It is well-supported with a vibrant ecosystem. LevelDB, on the other hand, is a server-side database optimized for key-value storage, does not support advanced querying, requires external synchronization for concurrency control, and has a smaller user base and ecosystem.
I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance
I think your best and cheapest choice is going to be MongoDB, Although Postgres is probably going to be the more scaleable approach, you likely have a good idea of how you want to present your data, and the app seems small enough that you shouldn't need to worry about scaling issues. It also sounds like your app can grow in a linear capacity based on the number of users, and the amount of data, which is the perfect use-case for noSQL databases (linear, predictable scaling).
Correct me if I have any of these assumptions wrong. 1. You're looking to have a relatively high-read with a lower write volume 2. Your app is essentially a list of objects that can belong to a category 3. users can create objects in this list.
I think Mongo is going to be what you're looking for on the following basis: 1. you absolutely need a database that is shared by all users of your app, therefor IndexedDB is out of the question. 2. You have semi-structured data 3. you probably want the cheapest solution.
I think Postgres is wrong for the following reasons: 1. your app is pretty simple in concept, SQL databases will add unnecessary complexity to your system, either through ORMs or SQL queries. (use an ORM if you go with SQL) 2. Hosting SQL databases for production is not cheap! the cheapest solution I know of for Postgres is ElephantSQL. It provides 20MB for free with 5 concurrent connections, you should be okay to manage these limitations if you decide to go Postgres in the end. Whereas mongoDB Atlas has some great free-tier options.
Although your data might be easier to model in Postgres, you can certainly model your data as a single list of items that have a category attached.
I don't want to officially recommend another tool, but you should really checkout prisma, firebase, amplify, or Azure App Services for this app! Just go completely backend-less [Firebase] https://firebase.google.com/ [Amplify] https://aws.amazon.com/amplify/ [Prisma] https://www.prisma.io/ [Azure App Services] https://azure.microsoft.com/en-us/services/app-service/?v=18.51
