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ArangoDB

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  Analyzed 1 day ago

A distributed 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. Multi-model database Combine key-value pairs, documents and graphs structures ubiquitously ... [More] and transparently Sharding & Replication Benefit from ArangoDB’s rich feature set even when using distributed collections Extensible through Foxx Build your own applications and API with JavaScript Powerful Query Language AQL is a declarative query language similar to SQL Strong Consistency If needed, you can use Transactions and enforce ACID guaranties for your data Joins, Joins, Joins Use joins as you would expect in a SQL environment [Less]

7.48M lines of code

26 current contributors

1 day since last commit

9 users on Open Hub

High Activity
5.0
 
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tarantool

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  Analyzed about 19 hours ago

An efficient in-memory database and a Lua application server

657K lines of code

40 current contributors

15 days since last commit

2 users on Open Hub

High Activity
0.0
 
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Mongify

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  Analyzed about 12 hours ago

Mongify allows you to map your data from a sql database and into a mongodb document database with ease.

4.07K lines of code

2 current contributors

almost 4 years since last commit

1 users on Open Hub

Inactive
0.0
 
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EJDB

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  Analyzed 2 days ago

EJDB is an embedded JSON database engine. It aims to be a fast MongoDB-like library which can be embedded into C/C++ applications. Features: * MongoDB-like queries and overall philosophy. * Collection level write locking. * Collection level transactions. * String token matching queries * Node.js binding

17.3K lines of code

6 current contributors

14 days since last commit

1 users on Open Hub

Very Low Activity
0.0
 
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SequoiaDB

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  Analyzed 10 months ago

SequoiaDB Inc. is a software company that develops and provides commercial support for the open source database SequoiaDB, a document-oriented NOSQL database that supports JSON transaction processing and SQL query. It can either be a standalone product to interface with applications providing high ... [More] performance and horizontally scalable data storage and processing functions, or serve as the frontend of Hadoop and Spark for both real-time query and data analysis. It is designed to integrate well with Spark, Hadoop/Cloudera. [Less]

3.75M lines of code

3 current contributors

10 months since last commit

1 users on Open Hub

Activity Not Available
5.0
 
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