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Description

The Apache Axiom™ library offers an implementation of an XML Infoset compliant object model that enables the on-demand construction of an object tree. It features an innovative "pull-through" model that permits users to disable tree construction and directly utilize the underlying pull event stream through the StAX API. Additionally, it incorporates support for XML Optimized Packaging (XOP) and MTOM, allowing XML to efficiently and transparently handle binary data. This combination results in an easy-to-use API backed by a highly efficient architecture. Originally developed as part of Apache Axis2, Apache Axiom serves as the foundation of Apache Axis2; nonetheless, it stands alone as a unique XML Infoset model with advanced functionalities, making it suitable for independent use without reliance on Apache Axis2. Overall, its design principles prioritize efficiency and flexibility for developers working with XML data.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acryl Data No 
Alteryx No 
Apache Avro No 
Apache Impala No 
Bytebase No 
Cloudera Data Warehouse No 
Data Sentinel No 
Datalogz No 
DbVisualizer No 
DigDash No 
IBM API Connect No 
IBM Cloud Pak for Integration No 
MLlib No 
Mode No 
Predibase No 
Progress DataDirect No 
Protegrity No 
RazorSQL No 
Rocket Data Replicate & Sync No 
Salesforce Data 360 No 

Integrations

Acryl Data Yes 
Alteryx Yes 
Apache Avro Yes 
Apache Impala Yes 
Bytebase Yes 
Cloudera Data Warehouse Yes 
Data Sentinel Yes 
Datalogz Yes 
DbVisualizer Yes 
DigDash Yes 
IBM API Connect Yes 
IBM Cloud Pak for Integration Yes 
MLlib Yes 
Mode Yes 
Predibase Yes 
Progress DataDirect Yes 
Protegrity Yes 
RazorSQL Yes 
Rocket Data Replicate & Sync Yes 
Salesforce Data 360 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 No 
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

The Apache Software Foundation

Founded

1999

Country

United States

Website

ws.apache.org/axiom/

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Product Features

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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