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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
The software significantly reduces the effort, expenses, and risks associated with transferring data between various database formats, including Oracle, MySQL, MariaDB, SQL Server, PostgreSQL, IBM DB2, IBM Informix, InterSystems Caché, Teradata, Visual Foxpro, SQLite, FireBird, InterBase, Microsoft Access, Microsoft Excel, Paradox, Lotus, dBase, CSV/Text, and any ODBC DSN data source. By leveraging this tool, you can streamline the migration process for numerous data types, structures, and objects, ultimately leading to substantial savings in both time and financial resources. It seamlessly handles the automatic migration of table structures, data, schemas (for databases like Oracle, SQL Server 2000 or later, PostgreSQL, and IBM DB2), LOBs (Large Objects), primary and foreign keys, indexes, auto-increment values, comments, default values, and much more. Additionally, the software supports migrations between different character sets, such as UTF8 and CP1250, and it intelligently converts various data encodings. Users also have the flexibility to modify field names, data types, nullable options, precision, and numscale, as well as filter data during the migration process for enhanced customization and control. This versatility makes it an invaluable tool for any organization looking to optimize their data management strategies.
API Access
Has API
API Access
Has API
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
Integrations
Apache Flink
Apache NiFi
Apache Spark
BigBI
Cloudera Data Warehouse
E-MapReduce
Hadoop
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$219 per year
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
EasyFrom
Founded
2004
Country
China
Website
www.easyfrom.net
Product Features
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
