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What is Condense?

Condense, a robust real-time data streaming solution by Zeliot, combines fully managed Apache Kafka with all essential components needed for the seamless creation and operation of event-driven applications. This unified platform eliminates the complexities of integrating various tools by offering managed Kafka clusters, customizable transformations, deployment pipelines, and monitoring features, all securely hosted within a selected cloud environment like AWS, Azure, or GCP to maintain data protection. Moreover, the platform incorporates Vapr, an autonomous AI supervisor that efficiently oversees specialized agents for tasks related to Kafka, Kubernetes, Grafana, and coding, thereby significantly alleviating the operational demands of maintaining streaming infrastructure. Demonstrated in high-pressure production environments, Condense supports a wide range of industries—including connected vehicle platforms, automotive OEM telematics, electric vehicle fleets, logistics, travel and hospitality, healthcare, and fintech—processing billions of events each day while proving its reliability and efficiency across varied applications. The platform's capacity to streamline event-driven workflows while prioritizing security makes it an essential tool for organizations looking to effectively leverage real-time data. By integrating advanced technology and user-friendly features, Condense positions itself as a leader in the data streaming space, catering to the growing needs of businesses in a data-driven world.

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.

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Integrations Supported

5X
Abstract Security
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Rocket Data Replicate & Sync
Samza
Sclera
TriggerMesh

Integrations Supported

5X
Abstract Security
Ascend
Azure Marketplace
Cogent DataHub
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Rocket Data Replicate & Sync
Samza
Sclera
TriggerMesh

API Availability

Has API

API Availability

Has API

Pricing Information

$40/month
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

Zeliot

Date Founded

2018

Company Location

India

Company Website

www.zeliot.in

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

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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