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What is DataHive AI?

DataHive is a comprehensive data provider that specializes in generating high-quality, rights-cleared datasets for AI teams working across machine learning, analytics, and generative models. The company collects and labels data in text, audio, image, and video formats, drawing from a global contributor base to ensure diversity, relevance, and trustworthiness. Its product suite includes detailed e-commerce product listings with pricing and availability metadata, large-scale reviews datasets covering millions of consumer opinions, and multilingual speech corpora featuring native speakers across Europe. DataHive also produces professionally transcribed audio datasets ideal for ASR fine-tuning, accent modeling, and multilingual voice AI development. For video researchers, the platform offers thousands of hours of contributor-generated footage enriched with sentiment annotations and engagement metrics. Its global image library contains entirely original, human-created photos tagged with contextual categories suitable for computer vision training. Every dataset is fully IP-owned, eliminating the licensing and rights issues that often limit commercial AI deployment. DataHive serves customers across retail, entertainment, speech AI, analytics, and enterprise machine learning. Backed by notable investors, it has become a trusted partner for organizations seeking scalable, compliant, production-ready datasets. With an expanding catalog and contributor network, DataHive continues to empower teams building high-performance AI systems.

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.

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Integrations Supported

Apache Avro
Apache Iceberg
Apache Kylin
Aqua Data Studio
BigBI
Coginiti
DataGrip
DigDash
Ema
Mage Dynamic Data Masking
Mage Static Data Masking
PHEMI Health DataLab
RazorSQL
Rocket Data Replicate & Sync
Secoda
SecuPi
StreamFlux
Timbr.ai
Xtendlabs

Integrations Supported

Apache Avro
Apache Iceberg
Apache Kylin
Aqua Data Studio
BigBI
Coginiti
DataGrip
DigDash
Ema
Mage Dynamic Data Masking
Mage Static Data Masking
PHEMI Health DataLab
RazorSQL
Rocket Data Replicate & Sync
Secoda
SecuPi
StreamFlux
Timbr.ai
Xtendlabs

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

DataHive AI

Date Founded

2024

Company Location

Estonia

Company Website

datahive.ai

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

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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