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What is myBase?

Mybase is a groundbreaking application designed as a freeform database that allows users to input a variety of unstructured data types, including text, web pages, images, documents, emails, and other file formats, regardless of their size or type. It incorporates an integrated zip utility to compress all stored data, organizing it into a tree-structured outline format. Unlike traditional database systems, Mybase facilitates text entry in a manner akin to using a word processor, which significantly enhances the processes of capturing, editing, organizing, retrieving, searching, and sharing information. Additionally, it boasts a distinctive layout where attached documents and related entries are compiled into a single hierarchical list view on the right side of the main interface, thereby improving content visibility and offering greater flexibility in displaying relationships. Moreover, Mybase supports Mermaid for Markdown documents, allowing users to effortlessly create flowcharts and diagrams. This combination of features makes Mybase an outstanding choice for individuals looking for a comprehensive and adaptable database solution. Its user-friendly design and innovative capabilities set it apart in the realm of database applications.

What is LevelDB?

LevelDB, a high-performance key-value storage library created by Google, is engineered to maintain an ordered association between string keys and string values. It treats both keys and values as arbitrary byte arrays, with the data organized in a sorted manner according to the keys. Users can implement a custom comparison function to alter the default sorting dynamics if desired. The library supports batching of multiple changes into a single atomic operation, which helps preserve data integrity during updates. Moreover, it enables the creation of temporary snapshots, allowing users to capture a consistent view of the data at any point in time. Users can also iterate through the stored data in both forward and backward directions, which enhances the flexibility of data access. To improve storage efficiency, data is automatically compressed using the Snappy compression algorithm. Furthermore, the library interacts with the operating system through a virtual interface, giving users the option to customize interactions with external environments, including file system operations. In practical usage, for instance, a database may contain one million entries, each entry comprising a 16-byte key paired with a 100-byte value. Interestingly, during benchmarking, the values compress to about half their original size, resulting in considerable space savings. We provide thorough performance metrics for sequential reads in both directions and evaluate the effectiveness of random lookups to highlight the library's capabilities. This extensive performance evaluation assists developers in identifying ways to optimize their utilization of LevelDB in diverse applications, ensuring they can maximize the benefits offered by this powerful library. Additionally, understanding these metrics can lead to improved design choices in database implementation and usage.

Media

Media

Integrations Supported

Integrations Supported

Google Cloud Platform
LedisDB
OrbitDB
XBTS
insight

API Availability

API Availability

Pricing Information

$79 one-time payment

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS
iPhone
iPad
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Wjj Software

Company Location

United States

Company Website

www.wjjsoft.com

Company Facts

Organization Name

Google

Date Founded

2011

Company Location

United States

Company Website

github.com/google/leveldb

Categories and Features

Knowledge Management

Content Management

Categories and Features

Embedded Database

Not specified

Key-Value Databases

Not specified

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