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

ArangoDB vs LevelDB

OverviewComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
LevelDB
LevelDB
Stacks108
Followers111
Votes0
GitHub Stars38.3K
Forks8.1K

ArangoDB vs LevelDB: What are the differences?

Developers describe ArangoDB as "A distributed open-source database with a flexible data model for documents, graphs, and key-values". 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. On the other hand, LevelDB is detailed as "*An open-source on-disk key-value store *". 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.

ArangoDB and LevelDB can be categorized as "Databases" tools.

ArangoDB and LevelDB are both open source tools. LevelDB with 18.3K GitHub stars and 4.32K forks on GitHub appears to be more popular than ArangoDB with 8.34K GitHub stars and 579 GitHub forks.

AresRPG, Stepsize, and Brainhub are some of the popular companies that use ArangoDB, whereas LevelDB is used by Google, Vigour, and Compile Inc. ArangoDB has a broader approval, being mentioned in 24 company stacks & 80 developers stacks; compared to LevelDB, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

ArangoDB
ArangoDB
LevelDB
LevelDB

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.

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.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
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
273
Stacks
108
Followers
442
Followers
111
Votes
192
Votes
0
Pros & Cons
Pros
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
Cons
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
No community feedback yet
Integrations
No integrations available
Java
Java
Windows
Windows
macOS
macOS

What are some alternatives to ArangoDB, 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.

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.

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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