Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Yes
API Access
Has API
No
Integrations
Apache Flink
Yes
Apache NiFi
Yes
Apache Spark
Yes
BigBI
Yes
Cloudera Data Warehouse
Yes
E-MapReduce
Yes
Hadoop
Yes
IBM Cloud
No
IBM Db2
No
Oracle Cloud Infrastructure
No
Integrations
Apache Flink
No
Apache NiFi
No
Apache Spark
No
BigBI
No
Cloudera Data Warehouse
No
E-MapReduce
No
Hadoop
No
IBM Cloud
Yes
IBM Db2
Yes
Oracle Cloud Infrastructure
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
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)
No
In Person
Yes
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