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Description

Consolidate offline data, import various files, and meticulously process and refine the information. With just a single click, you can export everything to a live database, thereby optimizing your data workflows. Centralize offline information, ensuring that your team can easily access it. Transfer offline files to Dropbase in multiple formats, accommodating any preferences you may have. Process and format your data seamlessly, allowing for additions, edits, reordering, and deletions of processing steps as needed. Enjoy the convenience of 1-click exports, whether to a database, endpoints, or downloadable code. Gain instant REST API access to securely query your Dropbase data using REST API access keys. Onboard your data wherever necessary, and combine multiple datasets to fit your required format or data model without needing to write any code. Manage your data pipelines effortlessly through a user-friendly spreadsheet interface, tracking every step of the process. Benefit from flexibility by utilizing a library of pre-built processing functions or by creating your own as you see fit. With 1-click exports, you can easily manage databases and credentials, ensuring a smooth and efficient data management experience. This system empowers teams to work more collaboratively and efficiently, transforming how they handle data.

Description

The versatility and variety of features enable the development of an application that caters to your individual preferences. There are numerous field types available, such as text, numeric, date/time, checkboxes, currency, images, files, calculations, locations, and relationships, among others. Data can be presented in various formats, including lists, card sets, tables, maps, or calendars. In addition, it offers robust data analysis capabilities, allowing for aggregation, charting, sorting, grouping, and filtering of entries based on any chosen fields. Memento facilitates data synchronization with the cloud and comes equipped with multiple collaboration tools. The platform effectively merges extensive functionality for advanced users with an intuitive interface for those simply looking to organize their daily activities, making it a comprehensive solution for a wide range of applications. Furthermore, Memento allows for offline operation, enabling users to manage their data without an internet connection and synchronize it with the cloud at a later time. Additionally, Memento features a large catalog of user templates, boasting thousands of predefined libraries that can either be used directly or serve as an inspiration for customization. This extensive library ensures that users can find the perfect starting point for their specific needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Zapier

Integrations

Zapier

Pricing Details

$19.97 per user per month
Free Trial
Free Version

Pricing Details

$4/user/month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dropbase

Founded

2019

Country

United States

Website

www.dropbase.io

Vendor Details

Company Name

MementoDB Inc

Founded

2019

Country

Canada

Website

mementodatabase.com

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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