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ease
features
design
support

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Description

A Kudu cluster comprises tables that resemble those found in traditional relational (SQL) databases. These tables can range from a straightforward binary key and value structure to intricate designs featuring hundreds of strongly-typed attributes. Similar to SQL tables, each Kudu table is defined by a primary key, which consists of one or more columns; this could be a single unique user identifier or a composite key such as a (host, metric, timestamp) combination tailored for time-series data from machines. The primary key allows for quick reading, updating, or deletion of rows. The straightforward data model of Kudu facilitates the migration of legacy applications as well as the development of new ones, eliminating concerns about encoding data into binary formats or navigating through cumbersome JSON databases. Additionally, tables in Kudu are self-describing, enabling the use of standard analysis tools like SQL engines or Spark. With user-friendly APIs, Kudu ensures that developers can easily integrate and manipulate their data. This approach not only streamlines data management but also enhances overall efficiency in data processing tasks.

Description

There are various strategies to reduce costs within an IT department, but one of the most effective and insightful approaches is to enhance employee productivity. By adopting streamlined work practices, organizations can ensure ongoing savings and improvements. Kal Admin is an essential tool utilized by numerous Analysts, Developers, QAs, and DBAs within Israel's public sector. The software features a Data Dictionary, which serves as a central repository for Business Analysts to document the definitions and descriptions of data elements crucial for fulfilling user requirements, and it also accommodates business terminology. This Dictionary plays a vital role in the subsequent development of database tables. With Kal Admin, users can outline tables without needing to create them in the database immediately, as the columns are specified through the Data Dictionary. Once these defined tables successfully clear quality assurance checks, they can be constructed in the database with just a single click, greatly simplifying the process. Ultimately, this efficiency not only reduces costs but also enhances overall project delivery in the IT sector.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Flink Yes 
Apache NiFi Yes 
Apache Spark Yes 
BigBI Yes 
Cloudera Data Warehouse Yes 
E-MapReduce Yes 
Hadoop Yes 

Integrations

Apache Flink No 
Apache NiFi No 
Apache Spark No 
BigBI No 
Cloudera Data Warehouse No 
E-MapReduce No 
Hadoop 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 No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kudu.apache.org/overview.html

Vendor Details

Company Name

Kalrom Systems

Founded

2008

Country

Israel

Website

www.kalromsystems.com

Product Features

Database

Backup and Recovery No 
Creation / Development Yes 
Data Migration No 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

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