Eclipse BIRT Reviews & Ratings

Eclipse BIRT

5.0 out of 5 stars
Apache Hive Reviews & Ratings

Apache Hive

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 3 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Eclipse BIRT?

BIRT empowers users to generate interactive data visualizations, dashboards, and reports that can be integrated effortlessly into both web applications and rich client environments. Transform your data into actionable insights! The name BIRT is an acronym for Business Intelligence Reporting Tool, aptly reflecting its mission. This robust tool can consolidate and analyze data from multiple sources, such as databases, files, Java, JavaScript, and web services, facilitating both textual and graphical reporting. As an open-source project, BIRT offers a solid technology framework for developing data visualizations and supports the incorporation of reports in desktop and web applications, especially those built on Java and Jakarta EE. It is a significant initiative under the Eclipse Foundation, serving various reporting needs across different sectors. Frequently, developers may construct reporting functionalities in a fragmented way, depending on inadequate technologies that do not address specific application requirements, which can impede both productivity and effectiveness. By utilizing BIRT, organizations can enhance their reporting workflows, promoting uniformity and dependability throughout their applications while also reducing the complexity associated with managing disparate reporting tools. Consequently, this leads to more informed decision-making and a clearer understanding of organizational data.

What is Apache Hive?

Apache Hive serves as a data warehousing framework that empowers users to access, manipulate, and oversee large datasets spread across distributed systems using a SQL-like language. It facilitates the structuring of pre-existing data stored in various formats. Users have the option to interact with Hive through a command line interface or a JDBC driver. As a project under the auspices of the Apache Software Foundation, Apache Hive is continually supported by a group of dedicated volunteers. Originally integrated into the Apache® Hadoop® ecosystem, it has matured into a fully-fledged top-level project with its own identity. We encourage individuals to delve deeper into the project and contribute their expertise. To perform SQL operations on distributed datasets, conventional SQL queries must be run through the MapReduce Java API. However, Hive streamlines this task by providing a SQL abstraction, allowing users to execute queries in the form of HiveQL, thus eliminating the need for low-level Java API implementations. This results in a much more user-friendly and efficient experience for those accustomed to SQL, leading to greater productivity when dealing with vast amounts of data. Moreover, the adaptability of Hive makes it a valuable tool for a diverse range of data processing tasks.

Media

Media

Integrations Supported

Datameer
IRI Voracity
IRI FieldShield

Integrations Supported

Datameer
IRI Voracity
Apache Kylin
ClicData
Datalogz
Flyte
Foundational
Hackolade
Jotform
Nightfall
Okera
Precisely Connect
RazorSQL
SAS Studio
StarfishETL
Xtendlabs
e6data

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Eclipse Foundation

Company Location

Canada

Company Website

eclipse.github.io/birt-website/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Business Intelligence

Data Analysis
Visual Analytics

Categories and Features

ETL

Not specified

Query Engines

Not specified

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