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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 Azure Data Explorer?
Azure Data Explorer offers a swift and comprehensive data analytics solution designed for real-time analysis of vast data streams originating from various sources such as websites, applications, and IoT devices. You can pose questions and conduct iterative data analyses on the fly, enhancing products and customer experiences, overseeing device performance, optimizing operations, and ultimately boosting profitability. This platform enables you to swiftly detect patterns, anomalies, and trends within your data. Discovering answers to your inquiries becomes a seamless process as you delve into new subjects. With a cost-effective structure, you can execute an unlimited number of queries without hesitation. Efficiently uncover new opportunities within your data, all while utilizing a fully managed and user-friendly analytics service that allows you to concentrate on deriving insights rather than managing infrastructure. The ability to quickly adapt to dynamic and rapidly changing data environments is a key feature of Azure Data Explorer, making it a vital tool for simplifying analytics across all forms of streaming data. This capability not only enhances decision-making but also empowers organizations to stay ahead in an increasingly data-driven landscape.
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Integrations Supported
Amazon Kinesis
Apache Kafka
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
Microsoft Azure
Integrations Supported
Amazon Kinesis
Apache Kafka
Azure Marketplace
Azure Monitor
Azure Time Series Insights
Blink
Microsoft Azure
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.11 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
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/data-explorer/
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
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards