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What is Simba?

Numerous popular dashboards, reporting, and ETL tools often struggle with connecting to particular data sources, resulting in considerable integration challenges for users. To mitigate this issue, Simba delivers ready-made, standards-compliant drivers that enable effortless connectivity, simplifying the integration process significantly. Organizations that provide data to clients often encounter difficulties in ensuring easy and direct access for their users. By utilizing Simba’s SDK, developers can craft custom, standards-based drivers that enhance data accessibility, surpassing traditional methods like CSV exports or API integrations. Additionally, specific backend requirements imposed by certain applications or internal workflows can complicate connectivity efforts even further. With the support of Simba’s SDK or its managed services, it is feasible to create drivers tailored to meet these distinct needs effectively. Moreover, Simba boasts extensive ODBC/JDBC compatibility that accommodates a wide variety of applications and data tools, boosting their overall performance. By integrating Simba Drivers into their platforms, organizations can significantly enhance their connectivity capabilities, thus broadening the spectrum of data sources available to their users. This enhancement ultimately fosters a more cohesive and efficient data environment for businesses, paving the way for improved decision-making and operational productivity.

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

Acryl Data
Apache Hudi
Aptean CRM
Astro by Astronomer
Datalogz
DbVisualizer
Google Cloud BigQuery
IBM App Connect
IBM Cloud Mass Data Migration
Jotform
LT Browser
Microsoft Excel
Qlik Staige
Secoda
TIMi
Tableau
Varada
e6data
jethro

Integrations Supported

Acryl Data
Apache Hudi
Aptean CRM
Astro by Astronomer
Datalogz
DbVisualizer
Google Cloud BigQuery
IBM App Connect
IBM Cloud Mass Data Migration
Jotform
LT Browser
Microsoft Excel
Qlik Staige
Secoda
TIMi
Tableau
Varada
e6data
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

insightsoftware

Company Location

United States

Company Website

insightsoftware.com/simba/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

hive.apache.org

Categories and Features

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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