Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
TaffyDB is a JavaScript library that is open source and integrates robust database functionalities into JavaScript applications. With its compact file size, it ensures rapid query performance while offering a data selection engine that is designed with JavaScript in mind. The library provides features akin to traditional databases, such as counting, updating, and inserting records, all while ensuring strong compatibility across different web browsers. Its design allows for easy extension through custom functions and seamless integration with any DOM library, as well as server-side JavaScript environments. Setting up a database is a simple process; users can create an empty database, one with a single object, an array, or even a JSON string. After establishing a database, you can execute queries by invoking the root function and constructing filter objects to refine your search. TaffyDB enables filtering based on database names and object comparisons, facilitating easy data access and dynamic modifications. Additionally, the use of custom functions grants users comprehensive control over query outcomes, enhancing the overall flexibility and power of the library in various applications. This versatility makes TaffyDB an excellent choice for developers seeking to implement database-like capabilities directly in their JavaScript projects.
Description
ThreadDB serves as a multi-party database leveraging IPFS and Libp2p, offering a distinct framework for online data management. Its purpose is to support the emergence of advanced web technologies by merging innovative event sourcing techniques, Interplanetary Linked Data (IPLD), and robust access control, creating a distributed, scalable, and adaptable database solution ideal for decentralized applications. There are two distinct versions of ThreadDB; the first is implemented in Go, while the second is crafted in JavaScript (technically TypeScript), which includes enhancements tailored for optimal web application development. The JavaScript version functions as a client to the Go version, allowing users to either operate it with their own go-threads instance or connect it to the Textile Hub for access to shared resources. Generally speaking, when developing applications that utilize threads in remote environments like browsers, it's advisable to defer networking tasks to remote services whenever feasible, thereby improving performance and efficiency. This approach not only streamlines application design but also enhances user experience across various platforms.
API Access
Has API
No
API Access
Has API
Yes
Integrations
JSON
No
JavaScript
No
jQuery
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
TaffyDB
Country
United States
Website
taffydb.com
Vendor Details
Company Name
Textile
Founded
2016
Country
United States
Website
docs.textile.io/threads/
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No