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What is Keen?

Keen operates as a comprehensive event streaming platform that is fully managed. By utilizing a real-time data pipeline built on Apache Kafka, it simplifies the process of gathering significant volumes of event data. The robust REST APIs and SDKs provided by Keen enable event data collection from any internet-connected device, enhancing versatility and accessibility. Additionally, our platform ensures the secure storage of your data, effectively minimizing operational and delivery risks associated with data handling. The use of Apache Cassandra's storage framework guarantees that your data remains secure during transit through HTTPS and TLS protocols. Furthermore, this data is safeguarded with multilayer AES encryption, reinforcing its protection. With Access Keys, you can present data in flexible formats without needing to overhaul or restructure the existing data model. The implementation of Role-based Access Control provides the ability to define customizable permission levels, allowing for granular control down to specific queries or individual data points. This level of flexibility in user access is crucial for maintaining both security and efficiency in data management.

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.

Media

Media

Integrations Supported

Amazon S3
Causal
EMnify
Freshpaint
GitHub
Heroku
Lenses
Onehouse
OpenShift Cloud Functions
Postman
Protegrity
Red Hat OpenShift
Runscope
Segment
Shift
Stackpile
Sumo Logic
Twilio
Waterstream
kPow

Integrations Supported

Amazon S3
Causal
EMnify
Freshpaint
GitHub
Heroku
Lenses
Onehouse
OpenShift Cloud Functions
Postman
Protegrity
Red Hat OpenShift
Runscope
Segment
Shift
Stackpile
Sumo Logic
Twilio
Waterstream
kPow

API Availability

Has API

API Availability

Has API

Pricing Information

$149 per 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

Keen.io

Date Founded

2011

Company Location

United States

Company Website

keen.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/msk/

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Embedded Analytics

Ad hoc Query
Application Development
Benchmarking
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics
Visual Workflow Management

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

Product Analytics

Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation

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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