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Average Ratings 0 Ratings

Total
ease
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support

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Description

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

Description

Dynamic and engaging visualizations enable the discovery of trends within user and business processes, offering comprehensive insight into the foundational computations. A concise collection of sequential operations delivers extensive functionality and meticulous control, all achievable in fewer than ten lines of code. An adaptive query engine allows users to effortlessly balance the trade-offs between query accuracy, processing speed, and costs to suit their specific requirements. Currently, Motif employs a specialized domain-specific language known as Sequence Operations Language (SOL), which we find to be more intuitive than SQL while providing greater capabilities than a simple drag-and-drop interface. Additionally, we have developed a bespoke engine designed to enhance the efficiency of sequence queries, while strategically sacrificing unnecessary precision that does not contribute to decision-making, in favor of improving query performance. This approach not only streamlines the user experience but also maximizes the effectiveness of data analysis.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Acryl Data Yes 
Amundsen Yes 
Apache Doris Yes 
Apache Kylin Yes 
Apache Sentry Yes 
Captain Compliance Yes 
DigDash Yes 
DreamFactory Yes 
IBM API Connect Yes 
Inferyx Yes 
Jotform Yes 
Mage Dynamic Data Masking Yes 
Mode Yes 
Occubee Yes 
Oracle Machine Learning Yes 
SQL Yes 
SQLyog Yes 
TapData Yes 
Union Cloud Yes 

Integrations

Acryl Data No 
Amundsen No 
Apache Doris No 
Apache Kylin No 
Apache Sentry No 
Captain Compliance No 
DigDash No 
DreamFactory No 
IBM API Connect No 
Inferyx No 
Jotform No 
Mage Dynamic Data Masking No 
Mode No 
Occubee No 
Oracle Machine Learning No 
SQL No 
SQLyog No 
TapData No 
Union Cloud No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Vendor Details

Company Name

Motif Analytics

Founded

2022

Country

United States

Website

www.motifanalytics.com

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Web Analytics

Campaign Management No 
Conversion Tracking No 
Form Analytics No 
Goal Tracking No 
Keyword Tracking No 
Multiple Site Management No 
Pageview Tracking No 
Referral Source Tracking No 
Site Search Tracking No 
Time on Site Tracking No 
User Interaction Tracking No 

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