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Description
A vast number of users leverage Amazon Managed Service for Apache Flink to execute their stream processing applications. This service allows you to analyze and transform streaming data in real-time through Apache Flink while seamlessly integrating with other AWS offerings. There is no need to manage servers or clusters, nor is there a requirement to establish computing and storage infrastructure. You are billed solely for the resources you consume. You can create and operate Apache Flink applications without the hassle of infrastructure setup and resource management. Experience the capability to process vast amounts of data at incredible speeds with subsecond latencies, enabling immediate responses to events. With Multi-AZ deployments and APIs for application lifecycle management, you can deploy applications that are both highly available and durable. Furthermore, you can develop solutions that efficiently transform and route data to services like Amazon Simple Storage Service (Amazon S3) and Amazon OpenSearch Service, among others, enhancing your application's functionality and reach. This service simplifies the complexities of stream processing, allowing developers to focus on building innovative solutions.
Description
IBM Analytics Engine offers a unique architecture for Hadoop clusters by separating the compute and storage components. Rather than relying on a fixed cluster with nodes that serve both purposes, this engine enables users to utilize an object storage layer, such as IBM Cloud Object Storage, and to dynamically create computing clusters as needed. This decoupling enhances the flexibility, scalability, and ease of maintenance of big data analytics platforms. Built on a stack that complies with ODPi and equipped with cutting-edge data science tools, it integrates seamlessly with the larger Apache Hadoop and Apache Spark ecosystems. Users can define clusters tailored to their specific application needs, selecting the suitable software package, version, and cluster size. They have the option to utilize the clusters for as long as necessary and terminate them immediately after job completion. Additionally, users can configure these clusters with third-party analytics libraries and packages, and leverage IBM Cloud services, including machine learning, to deploy their workloads effectively. This approach allows for a more responsive and efficient handling of data processing tasks.
API Access
Has API
API Access
Has API
Integrations
Acquia CDP
Amazon OpenSearch Service
Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
MINT
Integrations
Acquia CDP
Amazon OpenSearch Service
Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Spark
Galileo
Hadoop
IBM Cloud Object Storage
MINT
Pricing Details
$0.11 per hour
Free Trial
Free Version
Pricing Details
$0.014 per hour
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/managed-service-apache-flink/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/analytics-engine
Product Features
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery