Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
An adaptable and efficient key-value storage engine, both persistent and in-memory, is engineered for superior performance and resource optimization. It is crafted to effectively handle data on-disk and in-memory by identifying recurring patterns in serialized bytes, without limiting itself to any particular data model, be it SQL or NoSQL, or storage medium, whether it be Disk or RAM. The core system offers a variety of configurations that can be fine-tuned for specific use cases, while also aiming to incorporate automatic runtime adjustments by gathering and analyzing machine statistics and read-write behaviors. Users can manage data easily by utilizing well-known structures such as Map, Set, Queue, SetMap, and MultiMap, all of which can seamlessly convert to native collections in Java and Scala. Furthermore, it allows for conditional updates and data modifications using any Java, Scala, or native JVM code, eliminating the need for a query language and ensuring flexibility in data handling. This design not only promotes efficiency but also encourages the adoption of custom solutions tailored to unique application needs.
API Access
Has API
No
API Access
Has API
No
Integrations
3forge
Yes
Apache Zeppelin
Yes
GridGain
Yes
Vert.x
Yes
sqlmap
Yes
witboost
Yes
Integrations
3forge
No
Apache Zeppelin
No
GridGain
No
Vert.x
No
sqlmap
No
witboost
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
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
Apache Ignite
Founded
1999
Country
United States
Website
ignite.apache.org
Vendor Details
Company Name
SwayDB
Website
swaydb.io
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