About
Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.
|
About
In-Memory Computing Platform. The digital world is different. Microseconds matter. That's why the world's largest organizations rely on us to power their most time-sensitive applications at scale. New data-enabled applications can deliver transformative business power – if they meet today’s requirement of immediacy. Hazelcast solutions complement virtually any database to deliver results that are significantly faster than a traditional system of record. Hazelcast’s distributed architecture provides redundancy for continuous cluster up-time and always available data to serve the most demanding applications. Capacity grows elastically with demand, without compromising performance or availability. The fastest in-memory data grid, combined with third-generation high-speed event processing, delivered through the cloud.
|
About
TurboSQL is a blazing-fast, AI-powered SQL desktop application designed to enhance developer productivity. Built on the Tauri framework, it offers near-native performance, ensuring that queries run instantly. It features a keyboard-first design, allowing users to execute actions swiftly without relying on a mouse. With smart organization capabilities, developers can neatly arrange their queries into folders and files, mirroring a typical coding environment. TurboSQL's built-in AI assistant can generate SQL queries from plain English, explain complex SQL statements, and autocomplete queries intelligently based on the database schema. The user interface is minimalistic and supports dark mode, providing a clean and enjoyable workspace. TurboSQL supports unlimited database connections and emphasizes a fully secure, local-first experience. It's tailored for developers who seek speed, simplicity, and efficiency in their SQL workflows.
|
About
dbForge Studio for SQL Server is a comprehensive platform with an intuitive graphical user interface and robust functionality that enables users to handle a variety of database-related tasks both on-premises and in the cloud.
Key Features:
SQL Coding Assistance
AI Assistant Integration
Source Control
Index Manager
Unit Test
Table Designer
Database Designer
T-SQL Debugger
Query Profiler
Schema Compare
Data Compare
Data Generator
Documenter
Query Builder
Data Export and Data Import
Database Administration
Server Event Profiler
Data Editor
SQL Server Reporting
Master-Detail Browser
Pivot Table
Copy Database
Monitor
Find Invalid Objects
DevOps Automation
Optimized system resources consumption when preparing the Quick Info and Code Completion hints
Support for macOS & Linux via CrossOver You can always find the latest version of the product on the official Devart website.
|
|||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||
Audience
Platform for companies in need of a distributed database for high-performance computing
|
Audience
Companies searching for a real-time data platform
|
Audience
Software developers and data analysts looking for a tool to streamline their database querying and management tasks
|
Audience
Databes developers
|
|||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||
API
Offers API
|
API
Offers API
|
API
Offers API
|
API
Offers API
|
|||
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
|||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
Pricing
$25 per month
Free Version
Free Trial
|
Pricing
$229.95
Free Version
Free Trial
|
|||
Reviews/
|
Reviews/
|
Reviews/
|
Reviews/
|
|||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||
Company InformationApache Ignite
Founded: 1999
United States
ignite.apache.org
|
Company InformationHazelcast
United States
hazelcast.com
|
Company InformationTurboSQL
United States
www.turbosql.co
|
Company InformationDevart
Founded: 1997
United States of America
devart.com
|
|||
Alternatives |
Alternatives |
Alternatives |
Alternatives |
|||
|
|
|
|||||
|
|
|
|
||||
|
|
|
|||||
|
|
|
|
|
|||
Categories |
Categories |
Categories |
Categories |
|||
Integrations
Apache Zeppelin
Diamanti
FF4J
Gentics
GridGain
Heimdall Data
IBM Cloud Pak for Watson AIOps
JHipster
MariaDB
MySQL
|
Integrations
Apache Zeppelin
Diamanti
FF4J
Gentics
GridGain
Heimdall Data
IBM Cloud Pak for Watson AIOps
JHipster
MariaDB
MySQL
|
Integrations
Apache Zeppelin
Diamanti
FF4J
Gentics
GridGain
Heimdall Data
IBM Cloud Pak for Watson AIOps
JHipster
MariaDB
MySQL
|
Integrations
Apache Zeppelin
Diamanti
FF4J
Gentics
GridGain
Heimdall Data
IBM Cloud Pak for Watson AIOps
JHipster
MariaDB
MySQL
|
|||
|
|
|
|
|