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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 Amazon MSK?

Amazon Managed Streaming for Apache Kafka (Amazon MSK) streamlines the creation and management of applications that utilize Apache Kafka for processing streaming data. As an open-source solution, Apache Kafka supports the development of real-time data pipelines and applications. By employing Amazon MSK, you can take advantage of Apache Kafka’s native APIs for a range of functions, including filling data lakes, enabling data interchange between databases, and supporting machine learning and analytical initiatives. Nevertheless, independently managing Apache Kafka clusters can be quite challenging, as it involves tasks such as server provisioning, manual setup, and addressing server outages. Furthermore, it requires you to manage updates and patches, design clusters for high availability, securely and durably store data, set up monitoring systems, and strategically plan for scaling to handle varying workloads. With Amazon MSK, many of these complexities are mitigated, allowing you to concentrate more on application development rather than the intricacies of infrastructure management. This results in enhanced productivity and more efficient use of resources in your projects.

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Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Datadog
Lenses
New Relic
Onehouse
Protegrity
Sumo Logic
Tenzir
Waterstream
kPow

Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Datadog
Lenses
New Relic
Onehouse
Protegrity
Sumo Logic
Tenzir
Waterstream
kPow

API Availability

Has API

API Availability

Has API

Pricing Information

$40/month
Free Trial Offered?
Free Version

Pricing Information

$0.0543 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

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/msk/

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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