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Description

Apache APISIX boasts a comprehensive suite of traffic management capabilities, including Load Balancing, Dynamic Upstream, Canary Release, Circuit Breaking, Authentication, and Observability. This open-source API Gateway is designed to effectively manage microservices, ensuring optimal performance, enhanced security, and a scalable infrastructure for all your APIs and microservices. Notably, Apache APISIX is the pioneering open-source API Gateway equipped with an integrated low-code Dashboard, offering a robust and adaptable user interface tailored for developers. The Dashboard simplifies the operation of Apache APISIX through an intuitive frontend, making it accessible for users. As an open-source project, it is continually evolving, and contributions are always welcome. Furthermore, the Apache APISIX Dashboard is highly responsive to user needs, allowing the creation of custom modules to meet specific requirements while still providing a comprehensive no-code toolchain. This adaptability ensures that users can enhance their experience while working with the platform.

Description

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acceldata No 
Acryl Data No 
Alteryx No 
Apache Kylin No 
Apache Spark No 
Astro by Astronomer No 
Casbin Yes 
CelerData Cloud No 
Dataiku No 
DigDash No 
Hue No 
IBM API Connect No 
Progress DataDirect No 
Protegrity No 
Python Yes 
RATH No 
SAS Federation Server No 
StreamFlux No 
e6data No 

Integrations

Acceldata Yes 
Acryl Data Yes 
Alteryx Yes 
Apache Kylin Yes 
Apache Spark Yes 
Astro by Astronomer Yes 
Casbin No 
CelerData Cloud Yes 
Dataiku Yes 
DigDash Yes 
Hue Yes 
IBM API Connect Yes 
Progress DataDirect Yes 
Protegrity Yes 
Python No 
RATH Yes 
SAS Federation Server Yes 
StreamFlux Yes 
e6data Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

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 Yes 

Vendor Details

Company Name

Apache APISIX

Website

apisix.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

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

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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