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MobiDB Database

MobiDB Database

Vitalii Kornei

Productivity免费v12.0.11
App Store
评分

3.9

88 条评分

星级

★★★★☆

最近更新

2025年3月31日

发布日期

2019年2月1日

更新内容

v12.0.11

• New Analytics and Crashlytics instead of retired Appcenter.ms • Fixed OneDrive invalid request • Removed GoogleDrive since they dropped access to MobiDB • Fixed Crash during disconnect from cloud Storage.

应用信息

开发者
Vitalii Kornei
分类
Productivity
价格
免费
版本
12.0.11
App ID
1450593435

简介

MobiDB is an offline database app with unique cloud sync. CSV import enables data exchange between mobidb and Access, Filemaker, Excel. Intuitive visual form designer will help you arrange information on your screen in an attractive and readable manner. Features: • CSV import/export; • Visual form designer; • Cloud synchronization through Dropbox, OneDrive, Google drive; • Automatic conflict resolution; • Excel export; • More than 20 field types; • Pre-set database templates; • Stored filters; • Sorting and search; MobiDB is a good choice for people working in the field, since it supports offline work. Once you get back to the stable internet connection you can upload your changes to the cloud to make it available to other devices and people. MobiDB database is a personal database as well is a team database since with mobidb you can share database through cloud storage and collaborate with other devices and users. Use MobiDB database to • Organize, Manage and Search data entries; • Work with team via cloud, create team tasks; • Keep track of your business related data: customer database,billing invoices, orders, products list, receipts; • Store personal information of your collections, recipes, to-do lists, etc.; • Manage projects, track tasks progress, assign responsible persons, and invoice customers, manage employees; • Create and manage company inventories, keep track of home inventory; • Take scientific notes in the field; • Manage rented property; • Arrange, store and manage some specific information that requires special structure; • Manage both work and life;

下载量预测

专业 · 预览

预估总下载量

9K6K18K
保守估计乐观估计

66

低 / 月

99

预估 / 月

198

高 / 月

基于88 条评分
假设评分率1.0%
应用年龄89 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。