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  1. Stackups
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  4. Databases
  5. LevelDB vs SQLite

LevelDB vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
LevelDB
LevelDB
Stacks108
Followers111
Votes0
GitHub Stars38.3K
Forks8.1K

LevelDB vs SQLite: What are the differences?

Key Differences between LevelDB and SQLite

LevelDB and SQLite are both popular database management systems, but they differ in several key aspects.

  1. Data Structure: LevelDB is a key-value store where data is stored and indexed by keys in sorted order. On the other hand, SQLite is a relational database management system that organizes data into tables with rows and columns, allowing for complex data relationships.

  2. Query Language: LevelDB does not support a query language as it is a simple key-value store. In contrast, SQLite supports SQL (Structured Query Language), which provides a powerful and standardized way to retrieve, manipulate, and manage data.

  3. Concurrency: LevelDB is designed to support concurrent read and write operations efficiently with multiple threads or processes. In contrast, SQLite requires exclusive locks on the entire database during write operations, limiting concurrency for writes.

  4. Disk Space Usage: LevelDB is optimized for space efficiency and is particularly suitable for applications that require a compact storage footprint. SQLite, on the other hand, may require more disk space due to additional overhead for storing metadata and indexes.

  5. ACID Transactions: Both LevelDB and SQLite support ACID (Atomicity, Consistency, Isolation, Durability) properties. However, LevelDB provides a more relaxed form of transactional guarantees compared to SQLite. LevelDB guarantees atomicity and isolation for single operations but does not provide full multi-operation transactional consistency.

  6. Data Access: LevelDB provides direct, low-level access to data through its simple key-value interface. In contrast, SQLite provides a more flexible querying mechanism that allows complex data retrieval and manipulation operations.

In summary, LevelDB is a lightweight, key-value store optimized for high read and write throughput with concurrent access, while SQLite is a feature-rich relational database management system that supports complex queries and provides strong transactional guarantees.

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Advice on SQLite, LevelDB

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

366k views366k
Comments

Detailed Comparison

SQLite
SQLite
LevelDB
LevelDB

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.

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
-
GitHub Stars
38.3K
GitHub Forks
-
GitHub Forks
8.1K
Stacks
19.9K
Stacks
108
Followers
15.2K
Followers
111
Votes
535
Votes
0
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
No community feedback yet
Integrations
No integrations available
Java
Java
Windows
Windows
macOS
macOS

What are some alternatives to SQLite, 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.

MySQL

MySQL

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.

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.

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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