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Average Ratings 0 Ratings

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ease
features
design
support

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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

You can set up a fully functional cluster in just a few minutes. The database configurations are pre-optimized based on the selected cluster size. Should the demand for your cluster rise, it’s easy to either add new servers or boost their existing capacity within minutes. Redis utilizes a key-value data storage format, accommodating various types such as strings, arrays, dictionaries, sets, and bitmasks, among others. Operating primarily in RAM, Redis is ideal for scenarios that demand rapid responses or involve executing numerous operations on a relatively small dataset. The contents of the database are secured with GPG encryption for backups. Additionally, data protection adheres to local regulations, GDPR, and ISO standards. You can also set a time limit for the Yandex Managed Service for Redis to automatically purge data, which helps in optimizing storage expenses. This feature allows for better management of resources while ensuring compliance and security.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Zeppelin
GridGain
Redis
Vert.x
Yandex Cloud
sqlmap
witboost

Integrations

Apache Zeppelin
GridGain
Redis
Vert.x
Yandex Cloud
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

Yandex

Country

United Arab Emirates

Website

cloud.yandex.com/en/services/managed-redis

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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