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Description
API7 Enterprise serves as a commercial API gateway and management platform that leverages the capabilities of Apache APISIX. This solution enables engineering teams to effectively manage, secure, and monitor API traffic throughout their systems.
Its notable features encompass:
- A unified control over gateway clusters, configurations, and API policies.
- Mechanisms for API authentication, access governance, and rate limiting.
- Advanced traffic routing and distribution tailored for canary and blue-green deployment strategies.
- Seamless integration with systems for metrics, logging, and tracing.
- Versatile deployment options including Kubernetes, virtual machines, bare metal, and cloud environments.
- Opportunities for extensibility through plugins, with professional support readily accessible from API7.ai.
It's important to note that API7 Enterprise is proprietary commercial software, whereas Apache APISIX, which it is based on, remains an independent open-source project. This distinction emphasizes the robust capabilities of API7 Enterprise while also acknowledging the foundational role of its open-source counterpart.
Description
Amazon EMR stands as the leading cloud-based big data solution for handling extensive datasets through popular open-source frameworks like Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. This platform enables you to conduct Petabyte-scale analyses at a cost that is less than half of traditional on-premises systems and delivers performance more than three times faster than typical Apache Spark operations. For short-duration tasks, you have the flexibility to quickly launch and terminate clusters, incurring charges only for the seconds the instances are active. In contrast, for extended workloads, you can establish highly available clusters that automatically adapt to fluctuating demand. Additionally, if you already utilize open-source technologies like Apache Spark and Apache Hive on-premises, you can seamlessly operate EMR clusters on AWS Outposts. Furthermore, you can leverage open-source machine learning libraries such as Apache Spark MLlib, TensorFlow, and Apache MXNet for data analysis. Integrating with Amazon SageMaker Studio allows for efficient large-scale model training, comprehensive analysis, and detailed reporting, enhancing your data processing capabilities even further. This robust infrastructure is ideal for organizations seeking to maximize efficiency while minimizing costs in their data operations.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
AWS App Mesh
No
AWS Lake Formation
No
AWS Step Functions
No
Amazon S3 Express One Zone
No
Apache Hive
No
Data Virtuality
No
Immuta
No
New Relic
No
Pepperdata
No
Presto
No
Integrations
AWS App Mesh
Yes
AWS Lake Formation
Yes
AWS Step Functions
Yes
Amazon S3 Express One Zone
Yes
Apache Hive
Yes
Data Virtuality
Yes
Immuta
Yes
New Relic
Yes
Pepperdata
Yes
Presto
Yes
Pricing Details
Contact Vendor
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
API7.ai
Founded
2019
Country
Singapore
Website
api7.ai/enterprise
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/emr/
Product Features
API Management
API Design
No
API Lifecycle Management
No
Access Control
No
Analytics
No
Dashboard
No
Developer Portal
No
Testing Management
No
Threat Protection
No
Traffic Control
No
Version Control
No
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No