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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Quasar is a scalable analytics platform designed to process high-volume numerical data generated by AI and modern systems. It handles data types such as telemetry, financial trades, simulations, and operational metrics with high efficiency. Unlike traditional architectures that rely on data warehouses, pipelines, and lakes, Quasar consolidates everything into a single distributed system. This approach reduces latency by enabling real-time data ingestion and analysis. The platform uses specialized numerical compression to optimize storage and improve performance. Deterministic query execution ensures consistent and predictable analytics results. Quasar also minimizes infrastructure complexity by eliminating fragile streaming pipelines and dependencies. Its flat pricing model provides stable and predictable costs at scale. The platform is well-suited for industries like manufacturing, finance, and simulation-heavy environments. Overall, Quasar delivers high-performance analytics while simplifying data infrastructure.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Cordova
Apache Zeppelin
GridGain
Microsoft Excel
RadSystems
SQL
TimeXtender
Vert.x
sqlmap
witboost

Integrations

Apache Cordova
Apache Zeppelin
GridGain
Microsoft Excel
RadSystems
SQL
TimeXtender
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

QuasarDB

Founded

2008

Country

France

Website

quasar.ai/

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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