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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.

Description

Apache Log4j is a powerful and adaptable Java logging framework that includes an API, its implementation, and a variety of components designed to support diverse applications. Maintained by a dedicated team of volunteers and backed by a large community, Log4j provides an extensive array of components tailored for different scenarios. It features appenders that can direct logs to files, network sockets, databases, and SMTP servers, among others. Additionally, it offers layouts capable of producing outputs in formats like CSV, HTML, JSON, and Syslog. The framework includes filters that can be based on log event rates, regular expressions, scripts, and timestamps, as well as lookups for accessing system properties, environment variables, and log event fields. Emphasizing reliability, Log4j is designed to automatically reload its configuration when changes are made, ensuring that log events are not lost during reconfiguration. With proper setup, Log4j is capable of delivering outstanding performance while placing minimal strain on the Java garbage collector, all without compromising on reliability, making it a top choice for developers. Furthermore, its flexible architecture allows for easy integration into various applications, enhancing its appeal across different development environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Airtool
Amazon EMR
Amundsen
Apache Doris
Apache Spark
ClicData
DataGrip
DbVisualizer
E-MapReduce
IBM Cloud Pak for Integration
JSON
Microsoft Excel
Mode
Precisely Connect
QueryPie
TapData
WebOrion Protector
Xtendlabs
jethro

Integrations

Airtool
Amazon EMR
Amundsen
Apache Doris
Apache Spark
ClicData
DataGrip
DbVisualizer
E-MapReduce
IBM Cloud Pak for Integration
JSON
Microsoft Excel
Mode
Precisely Connect
QueryPie
TapData
WebOrion Protector
Xtendlabs
jethro

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

logging.apache.org/log4j/2.x/index.html

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Product Features

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