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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
TABEX4 is compatible with all major operating systems, making it a versatile solution for use across the entire organization, including both mainframe and server environments. It allows for the efficient and secure management of tables, regardless of the underlying platform or database utilized. With TABEX4, you can easily import table data from various software applications and memory forms using streamlined APIs. Additionally, exporting data is flexible, providing options such as PDF, email, and various storage formats. For those seeking answers, our TABEX4 FAQs deliver a comprehensive overview of essential topics related to the software. Meanwhile, the TABEX4 Wiki serves as a valuable resource for acquiring expert insights into technical issues and challenges you may face. To ensure a seamless experience during public audits, TABEX4 emphasizes utmost transparency and security in handling both master and control data. Furthermore, the TABEX4 Relational Bridge enhances the software by integrating interfaces with relational databases, thereby making all TABEX4 functionalities accessible to RDBs. With these features, TABEX4 stands out as a powerful tool for data management and compliance.
API Access
Has API
API Access
Has API
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Chromium
Cloudera Data Warehouse
E-MapReduce
Google Chrome
Hadoop
IBM AIX
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Chromium
Cloudera Data Warehouse
E-MapReduce
Google Chrome
Hadoop
IBM AIX
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
kudu.apache.org/overview.html
Vendor Details
Company Name
BOI Software
Founded
1979
Country
Austria
Website
www.boi.at/en/products/tabex4/
Product Features
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge