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What is SSuite MonoBase Database?

You have the ability to create both flat and relational databases with an unlimited number of fields, tables, and rows, and a custom report generator is provided to facilitate this process. By connecting to compatible ODBC databases, you can craft personalized reports tailored to your needs. Additionally, you have the option to develop your own databases. Here are some key features: - Instantly filter tables for quick data retrieval - User-friendly graphic interface that is incredibly easy to navigate - Create tables and data forms with a single click - Open up to five databases at the same time - Export your data effortlessly to comma-separated files - Generate custom reports for all connected databases - Comprehensive help documentation is available for creating database reports - Print tables and queries directly from the data grid with ease - Compatibility with any SQL standard required by your ODBC-compliant databases To ensure optimal performance and an enhanced user experience, please run this database application with full administrator privileges. System requirements include: - A display resolution of 1024x768 - Compatibility with Windows 98, XP, 8, or 10, available in both 32-bit and 64-bit versions No Java or DotNet installations are necessary, making it a lightweight option for users. This software is designed with green energy in mind, taking steps to contribute positively to the environment while providing powerful database solutions.

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

SQL
Amundsen
Apache Kylin
Apache Spark
Coginiti
DBeaver
DbVisualizer
E-MapReduce
Fosfor Decision Cloud
Hackolade
Hue
Immuta
Nucleon Database Master
OpenText Voltage Structured Data Manager
Oracle Machine Learning
Paradox Routing Tool
Qlik Staige
SQL Server
Salesforce Data Cloud
e6data

Integrations Supported

SQL
Amundsen
Apache Kylin
Apache Spark
Coginiti
DBeaver
DbVisualizer
E-MapReduce
Fosfor Decision Cloud
Hackolade
Hue
Immuta
Nucleon Database Master
OpenText Voltage Structured Data Manager
Oracle Machine Learning
Paradox Routing Tool
Qlik Staige
SQL Server
Salesforce Data Cloud
e6data

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

SSuite Office Software

Date Founded

2002

Company Location

Republic of South-Africa

Company Website

www.ssuiteoffice.com/categories/database.htm

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Spreadsheet

Analytics
Audit Trail
Calculators
Charting
Multi-User Collaboration
Templates

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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