Average Ratings 1 Rating
Average Ratings 1 Rating
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
BIRT allows users to create dynamic data visualizations, dashboards, and reports that can seamlessly integrate into web applications as well as rich client environments. Transform your data into meaningful insights! The acronym BIRT stands for Business Intelligence Reporting Tool, which perfectly encapsulates its purpose. This powerful tool can aggregate and synthesize data from a variety of sources, including databases, files, Java, JavaScript, and web services, enabling both textual reporting and visual charting. As an open-source initiative, BIRT provides a robust technology platform for developing data visualizations and facilitates the embedding of reports in both desktop and web applications, particularly those utilizing Java and Jakarta EE. It stands as a prominent project under the Eclipse Foundation, catering to diverse reporting requirements. Often, developers implement reporting features in a piecemeal manner, relying on suboptimal technologies for unique application needs, which can hinder efficiency and effectiveness. With BIRT, organizations can streamline their reporting processes, ensuring consistency and reliability across their applications.
API Access
Has API
API Access
Has API
Integrations
Datameer
IRI Voracity
Alteryx
Apache Avro
Apache Hudi
Apache Iceberg
Aqua Data Studio
Ascend
Baidu Sugar
IBM App Connect
Integrations
Datameer
IRI Voracity
Alteryx
Apache Avro
Apache Hudi
Apache Iceberg
Aqua Data Studio
Ascend
Baidu Sugar
IBM App Connect
Pricing Details
No price information available.
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
Apache Software Foundation
Founded
1999
Country
United States
Website
hive.apache.org
Vendor Details
Company Name
Eclipse Foundation
Country
Canada
Website
eclipse.github.io/birt-website/
Product Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics