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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
API Access
Has API
Screenshots View All
No images available
Integrations
AWS App Mesh
AWS Lake Formation
Amazon SageMaker Data Wrangler
Apache Hive
Apache Spark
CopperEgg
EC2 Spot
Feast
Hadoop
New Relic
Integrations
AWS App Mesh
AWS Lake Formation
Amazon SageMaker Data Wrangler
Apache Hive
Apache Spark
CopperEgg
EC2 Spot
Feast
Hadoop
New Relic
Pricing Details
Contact Vendor
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
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
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates