Apache Hive

Apache Hive

Apache Software Foundation
+
+

Related Products

  • Google Cloud BigQuery
    1,851 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • Declarative Webhooks
    2 Ratings
    Visit Website
  • ActiveBatch Workload Automation
    353 Ratings
    Visit Website
  • Semarchy xDM
    63 Ratings
    Visit Website
  • dbt
    197 Ratings
    Visit Website
  • MEXC
    188,765 Ratings
    Visit Website
  • Google Cloud Run
    274 Ratings
    Visit Website
  • Twilio
    1,313 Ratings
    Visit Website
  • Quick Consols
    49 Ratings
    Visit Website

About

The Apache Hive data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage. A command line tool and JDBC driver are provided to connect users to Hive. Apache Hive is an open source project run by volunteers at the Apache Software Foundation. Previously it was a subproject of Apache® Hadoop®, but has now graduated to become a top-level project of its own. We encourage you to learn about the project and contribute your expertise. Traditional SQL queries must be implemented in the MapReduce Java API to execute SQL applications and queries over distributed data. Hive provides the necessary SQL abstraction to integrate SQL-like queries (HiveQL) into the underlying Java without the need to implement queries in the low-level Java API.

About

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and anyone looking for a data warehouse software that facilitates reading, writing, and managing large datasets using SQL

Audience

Testers, Data Architects, ETL Developers, BI Analysts, & Operations teams

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 4.9 / 5
features 4.9 / 5
design 4.5 / 5
support 5.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Apache Software Foundation
Founded: 1999
United States
hive.apache.org

Company Information

RTTS
Founded: 1996
United States
www.querysurge.com

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation

Alternatives

Apache HBase

Apache HBase

The Apache Software Foundation
Apache Hudi

Apache Hudi

Apache Corporation
DataBuck

DataBuck

FirstEigen
Eggplant

Eggplant

Keysight Technologies
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

ETL Features

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

Automated Testing Features

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Quality Features

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Warehouse Features

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Functional Testing Features

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Test Management Features

Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking

Integrations

Airtool
Amadea
Amazon EMR
Apache Iceberg
Apache Knox
Cloudera Data Warehouse
DataGrip
DataHub
Immuta
Inferyx
Jotform
Microsoft Excel
MySQL
Qlik Staige
SQL Server
StarRocks
TapData
WEBDEV
eQube®-DaaS

Integrations

Airtool
Amadea
Amazon EMR
Apache Iceberg
Apache Knox
Cloudera Data Warehouse
DataGrip
DataHub
Immuta
Inferyx
Jotform
Microsoft Excel
MySQL
Qlik Staige
SQL Server
StarRocks
TapData
WEBDEV
eQube®-DaaS
Claim Apache Hive and update features and information
Claim Apache Hive and update features and information
Claim QuerySurge and update features and information
Claim QuerySurge and update features and information