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Description
Utilize Ignite as a conventional SQL database by employing JDBC drivers, ODBC drivers, or the dedicated SQL APIs that cater to Java, C#, C++, Python, and various other programming languages. Effortlessly perform operations such as joining, grouping, aggregating, and ordering your distributed data, whether it is stored in memory or on disk. By integrating Ignite as an in-memory cache or data grid across multiple external databases, you can enhance the performance of your existing applications by a factor of 100. Envision a cache that allows for SQL querying, transactional operations, and computational tasks. Develop contemporary applications capable of handling both transactional and analytical workloads by leveraging Ignite as a scalable database that exceeds the limits of available memory. Ignite smartly allocates memory for frequently accessed data and resorts to disk storage when dealing with less frequently accessed records. This allows for the execution of kilobyte-sized custom code across vast petabytes of data. Transform your Ignite database into a distributed supercomputer, optimized for rapid calculations, intricate analytics, and machine learning tasks, ensuring that your applications remain responsive and efficient even under heavy loads. Embrace the potential of Ignite to revolutionize your data processing capabilities and drive innovation within your 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
API Access
Has API
Integrations
Apache Zeppelin
GridGain
Vert.x
sqlmap
witboost
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Apache Ignite
Founded
1999
Country
United States
Website
ignite.apache.org
Vendor Details
Company Name
Textile
Founded
2016
Country
United States
Website
docs.textile.io/threads/
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