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What is Cogility Cogynt?

Achieve a new level of Continuous Intelligence solutions, marked by enhanced speed, efficiency, and cost-effectiveness, while reducing the engineering workload. The Cogility Cogynt platform furnishes a cloud-scalable event stream processing solution that is bolstered by advanced, AI-driven analytics. With a holistic and integrated toolset at their disposal, organizations can swiftly and effectively deploy continuous intelligence solutions tailored to their specific requirements. This comprehensive platform streamlines the deployment process by allowing users to construct model logic, customize data source intake, process data streams, analyze, visualize, and share intelligence insights, and audit and refine outcomes, all while ensuring seamless integration with other applications. Furthermore, Cogynt’s Authoring Tool offers a user-friendly, no-code design environment that empowers users to easily create, adjust, and deploy data models without technical barriers. In addition, the Data Management Tool from Cogynt enhances the publishing of models, enabling users to immediately apply them to stream data processing while efficiently abstracting the complexities associated with Flink job coding. As organizations leverage these innovative tools, they can quickly transform their data into actionable insights, thus positioning themselves for success in a dynamic market landscape. This capability not only accelerates decision-making but also fosters a culture of data-driven innovation.

What is Azure Event Hubs?

Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.

Media

Media

Integrations Supported

5X
Abstract Security
Ascend
Azure Marketplace
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
TriggerMesh

Integrations Supported

5X
Abstract Security
Ascend
Azure Marketplace
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
TriggerMesh

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.03 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cogility Software

Date Founded

2003

Company Location

United States

Company Website

cogility.com/cogynt/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/event-hubs/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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