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What is Xeotek?

Xeotek accelerates the creation and exploration of data applications and streams for organizations with its powerful desktop and web solutions. The Xeotek KaDeck platform is designed to serve the diverse needs of developers, operations personnel, and business stakeholders alike. By offering a common platform for these user groups, KaDeck promotes collaboration, reduces miscommunication, and lessens the frequency of revisions, all while increasing transparency within teams. With Xeotek KaDeck, users obtain authoritative control over their data streams, which leads to substantial time savings by providing insights at both the data and application levels throughout projects or daily activities. Users can easily export, filter, transform, and manage their data streams in KaDeck, facilitating the simplification of intricate processes. The platform enables users to run JavaScript (NodeV4) code, create and modify test data, monitor and adjust consumer offsets, and manage their streams or topics, as well as Kafka Connect instances, schema registries, and access control lists, all through a single, intuitive interface. This all-encompassing approach not only enhances workflow efficiency but also boosts productivity across a range of teams and initiatives, ensuring that everyone can work together more effectively. Ultimately, Xeotek KaDeck stands out as a vital tool for businesses aiming to optimize their data management and application development strategies.

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

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

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Xeotek

Company Website

www.xeotek.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/msk/

Categories and Features

Streaming Analytics

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

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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