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What is CData Query Federation Drivers?

Embedded Data Virtualization empowers applications by offering seamless data connectivity. The CData Query Federation Drivers act as a comprehensive data access layer, simplifying the development of applications and facilitating data retrieval. With just one interface, users can execute SQL queries to access information from over 250 different applications and databases. This driver delivers robust features such as: a unified SQL language and API to interact with various SaaS, NoSQL, relational, and Big Data sources; the ability to merge data from multiple origins without the need for ETL processes; enhanced performance through intelligent push-down in federated queries; and support for more than 250 connections, thanks to the user-friendly CData Drivers. Overall, this solution streamlines the process of data management and integration for developers across diverse platforms.

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

Amundsen
Apache Doris
Apache Hudi
Apache Phoenix
Aqua Data Studio
DBeaver Community
Data Sentinel
Dataiku
IBM watsonx.data
LT Browser
Lyftrondata
MLlib
OpenText Structured Data Manager
SQLyog
Salesforce Data 360
Secoda
Stackable
Xtendlabs
jethro

Integrations Supported

Amundsen
Apache Doris
Apache Hudi
Apache Phoenix
Aqua Data Studio
DBeaver Community
Data Sentinel
Dataiku
IBM watsonx.data
LT Browser
Lyftrondata
MLlib
OpenText Structured Data Manager
SQLyog
Salesforce Data 360
Secoda
Stackable
Xtendlabs
jethro

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CData Software

Date Founded

2014

Company Location

United States

Company Website

www.cdata.com/queryfederation/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

ETL

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

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