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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. LevelDB vs MySQL

LevelDB vs MySQL

OverviewDecisionsComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
LevelDB
LevelDB
Stacks108
Followers111
Votes0
GitHub Stars38.3K
Forks8.1K

LevelDB vs MySQL: What are the differences?

Introduction

LevelDB and MySQL are both popular database management systems used in web development. While they serve the same purpose of storing and managing data, there are key differences between the two.

  1. Data Model: LevelDB is a key-value store database, where data is stored and retrieved based on keys. It does not support complex data structures or SQL queries. On the other hand, MySQL is a relational database management system (RDBMS) that supports tables with rows and columns, allowing for complex relationships between entities and the use of SQL queries to retrieve and manipulate data.

  2. Scalability and Performance: LevelDB is designed for single-machine environments and may not offer high scalability or performance in large-scale applications. MySQL, on the other hand, is designed to handle large amounts of data and can be scaled horizontally by adding more servers to distribute the workload, making it suitable for high-performance applications.

  3. ACID Compliance: LevelDB does not provide built-in support for ACID (Atomicity, Consistency, Isolation, Durability) properties, which ensure data integrity and reliability in a database. ACID compliance is a fundamental feature of relational databases like MySQL, which guarantees that database transactions are processed reliably.

  4. Schema Flexibility: LevelDB does not enforce a fixed schema and allows flexibility in terms of data structure and format. This can be beneficial in scenarios where the data model is evolving or needs to be loosely defined. In contrast, MySQL enforces a strict schema, requiring predefined tables and fields, which can be advantageous in ensuring data consistency and integrity.

  5. Community and Ecosystem: MySQL has a large and active community, as well as a wide range of third-party tools, libraries, and frameworks built around it. This can provide better support, resources, and developer community interaction compared to LevelDB, which has a smaller user base.

  6. Use Cases: Given the differences mentioned above, LevelDB is often used in scenarios that require simple data storage and retrieval, such as caching systems or small-scale applications. MySQL, on the other hand, is more suitable for complex applications that require ACID compliance, relational data management, and advanced querying capabilities.

In Summary, LevelDB is a key-value store database primarily designed for simple data storage and retrieval, while MySQL is a relational database management system with ACID compliance and advanced querying capabilities, suitable for complex applications.

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Advice on MySQL, LevelDB

Kyle
Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

DecidedonPostGISPostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k
Comments
Ido
Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k
Comments
Navraj
Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceonMySQLMySQLPostgreSQLPostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k
Comments

Detailed Comparison

MySQL
MySQL
LevelDB
LevelDB

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

It is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. It has been ported to a variety of Unix-based systems, macOS, Windows, and Android.

-
Simple key-value stores with Go, C++, Node.js and more!
Statistics
GitHub Stars
11.8K
GitHub Stars
38.3K
GitHub Forks
4.1K
GitHub Forks
8.1K
Stacks
129.6K
Stacks
108
Followers
108.6K
Followers
111
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet
Integrations
No integrations available
Java
Java
Windows
Windows
macOS
macOS

What are some alternatives to MySQL, LevelDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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