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
Maintain your current habits as our plug-in seamlessly integrates with your existing query editor, ensuring we assist you right where you are. This means there’s no requirement for integrating with your data or metadata. With our SQL repository, you can discover and repurpose the most pertinent queries from your team. You have the ability to save, share, categorize, and create versions and folders for your SQL projects. Eliminate the need for repetitive coding by tapping into your colleagues' work. Additionally, enhance your own queries with snippets to boost your efficiency directly within your IDE, all without needing access to your data or any integration. Sherloq serves as the central hub for all your ad-hoc SQL queries. By utilizing the AI SQL repository plug-in, you can collaboratively manage, save, and share your SQL code without leaving your IDE, making it a perfect blend of collaboration and personal space for your work. This tool caters to both data enthusiasts and those who may be less familiar with it. Furthermore, it automatically tracks and saves your SQL history for the entire team, ensuring that everyone stays up to date with their collaborative efforts. This comprehensive solution not only streamlines your workflow but also fosters a more efficient team environment.
API Access
Has API
API Access
Has API
Integrations
Apache Zeppelin
DataGrip
GridGain
Looker
Slack
Snowflake
Tableau
Vert.x
sqlmap
witboost
Integrations
Apache Zeppelin
DataGrip
GridGain
Looker
Slack
Snowflake
Tableau
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
Sherloq
Founded
2023
Website
www.sherloqdata.io
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