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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

Elastic Cloud Server (ECS) offers secure and scalable computing resources that can be accessed on-demand, allowing for the flexible deployment of various applications and workloads. It ensures worry-free protection through comprehensive security measures. General computing ECSs strike a balance between computing power, memory, and network resources, making them suitable for applications with light to moderate workloads. For applications that handle substantial data volumes, memory-optimized ECSs with extensive memory capabilities and support for ultra-high I/O EVS disks and adaptable bandwidths are ideal. Alternatively, disk-intensive ECSs cater to applications that require efficient sequential read/write operations on massive datasets stored locally, such as those used in distributed Hadoop environments, along with large-scale parallel data processing and log management. These disk-intensive ECSs are compatible with HDDs, come with a standard network bandwidth of 10GE, and provide high packets per second (PPS) performance with minimal network latency, making them well-suited for demanding data-intensive tasks. Overall, ECS offers versatile options tailored to meet diverse computing needs in various industries.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Zeppelin
GridGain
Huawei Cloud
Huawei Cloud Elastic Volume Service
Vert.x
sqlmap
witboost

Integrations

Apache Zeppelin
GridGain
Huawei Cloud
Huawei Cloud Elastic Volume Service
Vert.x
sqlmap
witboost

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$6.13 per 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

Apache Ignite

Founded

1999

Country

United States

Website

ignite.apache.org

Vendor Details

Company Name

Huawei

Founded

1987

Country

China

Website

www.huaweicloud.com/intl/en-us/product/ecs.html

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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