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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 IBM StreamSets?
IBM® StreamSets empowers users to design and manage intelligent streaming data pipelines through a user-friendly graphical interface, making it easier to integrate data seamlessly in both hybrid and multicloud settings. Renowned global organizations leverage IBM StreamSets to manage millions of data pipelines, facilitating modern analytics and the development of smart applications. This platform significantly reduces data staleness while providing real-time information at scale, efficiently processing millions of records across thousands of pipelines within seconds. The drag-and-drop processors are designed to automatically identify and adapt to data drift, ensuring that your data pipelines remain resilient to unexpected changes. Users can create streaming pipelines to ingest structured, semi-structured, or unstructured data, efficiently delivering it to various destinations while maintaining high performance and reliability. Additionally, the system's flexibility allows for rapid adjustments to evolving data needs, making it an invaluable tool for data management in today's dynamic environments.
Media
No images available
Integrations Supported
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Cassandra
Apache Kafka
Azure Data Lake Storage
Azure Industrial IoT
Couchbase
CrateDB
Integrations Supported
Amazon Kinesis
Amazon Redshift
Amazon S3
Amazon Simple Queue Service (SQS)
Apache Cassandra
Apache Kafka
Azure Data Lake Storage
Azure Industrial IoT
Couchbase
CrateDB
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$1000 per month
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
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/streamsets
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
DevOps
Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
