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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
Randtronics DPM Database Manager offers a robust solution for securing column-level data within databases, ensuring that no modifications to application-level code are necessary, thus remaining entirely invisible to users and applications interacting with the database. This software effectively safeguards data across various platforms, including Oracle, Microsoft SQL Server, and IBM DB for iSeries databases. Users can mask sensitive information in designated columns or opt for data tokenization by integrating with the DPM Token Manager. The system's rules are highly adaptable, providing protection regardless of a user's or application’s access level, which includes safeguarding against database administrators (DBAs) accessing sensitive information. Additionally, these rules can be modified on-the-fly through the console, allowing for immediate application to the data being protected. This innovative approach guarantees that column-level data remains secure without necessitating any changes to existing applications, ensuring seamless integration into current database environments. Ultimately, the DPM Database Manager empowers organizations to maintain data privacy and compliance effortlessly.
API Access
Has API
API Access
Has API
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
IBM Cloud
IBM Db2
Oracle Cloud Infrastructure
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
IBM Cloud
IBM Db2
Oracle Cloud Infrastructure
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
Randtronics
Country
United States
Website
www.randtronics.com/products/randtronics-dpm-db-manager