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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon Managed Streaming for Apache Kafka (Amazon MSK) simplifies the process of creating and operating applications that leverage Apache Kafka for handling streaming data. As an open-source framework, Apache Kafka enables the construction of real-time data pipelines and applications. Utilizing Amazon MSK allows you to harness the native APIs of Apache Kafka for various tasks, such as populating data lakes, facilitating data exchange between databases, and fueling machine learning and analytical solutions. However, managing Apache Kafka clusters independently can be quite complex, requiring tasks like server provisioning, manual configuration, and handling server failures. Additionally, you must orchestrate updates and patches, design the cluster to ensure high availability, secure and durably store data, establish monitoring systems, and strategically plan for scaling to accommodate fluctuating workloads. By utilizing Amazon MSK, you can alleviate many of these burdens and focus more on developing your applications rather than managing the underlying infrastructure.

Description

Debezium is a powerful open-source platform designed for capturing changes in data across distributed systems. By initiating the service and directing it towards your databases, your applications can seamlessly respond to every insert, update, and deletion made by other applications interacting with your databases. Known for its speed and reliability, Debezium ensures that your applications can quickly react to changes and remain resilient even in the face of failures. Since data is in a constant state of flux, Debezium empowers your applications to react to these alterations without requiring modifications to the applications responsible for the data changes. It continuously observes your databases, enabling your applications to stream every change at the row level in the exact order they were committed. This technology can be leveraged to refresh caches, update search indices, create derived views and datasets, synchronize other data sources, and much more. Moreover, you can extract this functionality from your core applications and build dedicated services to handle these tasks efficiently. Embracing Debezium allows for enhanced data management and improved application performance.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Artie
Datadog
GlassFlow
Kestra
Lenses
Materialize
New Relic
Onehouse
Protegrity
PubSub+ Platform
Sumo Logic
Tenzir
Waterstream
kPow

Integrations

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Artie
Datadog
GlassFlow
Kestra
Lenses
Materialize
New Relic
Onehouse
Protegrity
PubSub+ Platform
Sumo Logic
Tenzir
Waterstream
kPow

Pricing Details

$0.0543 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/msk/

Vendor Details

Company Name

Debezium

Founded

2014

Country

United States

Website

debezium.io

Product Features

Streaming Analytics

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

Product Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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