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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 E-MapReduce?

EMR functions as a robust big data platform tailored for enterprise needs, providing essential features for cluster, job, and data management while utilizing a variety of open-source technologies such as Hadoop, Spark, Kafka, Flink, and Storm. Specifically crafted for big data processing within the Alibaba Cloud framework, Alibaba Cloud Elastic MapReduce (EMR) is built upon Alibaba Cloud's ECS instances and incorporates the strengths of Apache Hadoop and Apache Spark. This platform empowers users to take advantage of the extensive components available in the Hadoop and Spark ecosystems, including tools like Apache Hive, Apache Kafka, Flink, Druid, and TensorFlow, facilitating efficient data analysis and processing. Users benefit from the ability to seamlessly manage data stored in different Alibaba Cloud storage services, including Object Storage Service (OSS), Log Service (SLS), and Relational Database Service (RDS). Furthermore, EMR streamlines the process of cluster setup, enabling users to quickly establish clusters without the complexities of hardware and software configuration. The platform's maintenance tasks can be efficiently handled through an intuitive web interface, ensuring accessibility for a diverse range of users, regardless of their technical background. This ease of use encourages a broader adoption of big data processing capabilities across different industries.

Media

Media

Integrations Supported

Amazon S3
Causal
Freshpaint
GitHub
Heroku
Kixie PowerCall & SMS
Maxio
OpenShift Cloud Functions
Pure360
RudderStack
Runscope
Segment
Stackpile
Stripe
Twilio

Integrations Supported

Alibaba Cloud
Alibaba Log Service
Apache Flink
Apache Kudu
MaxCompute

API Availability

API Availability

Pricing Information

$149 per month
https://keen.io/pricing/
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
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

Alibaba

Date Founded

2009

Company Location

China

Company Website

alibabacloud.com/product/emapreduce

Categories and Features

Big Data

Not specified

Data Visualization

Not specified

Embedded Analytics

Ad hoc Query
Dashboard
Interactive Reports
Mobile Reporting
Multi-User Collaboration
Self Service Analytics
Streaming Analytics

Master Data Management

Data Source Integrations
Visualization

Product Analytics

Not specified

Categories and Features

Big Data

Not specified

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