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What is Dr. DeeBee?

Are you interested in connecting your proprietary database with widely-used applications such as Access, Visual Basic, PowerBuilder, or Crystal Reports? The Dr. DeeBee® ODBC Driver Kit simplifies this task, making it both quick and efficient! This kit empowers you to easily develop ODBC database drivers, allowing seamless connectivity to your proprietary database without needing to delve into the intricate details of ODBC. The Dr. DeeBee ODBC Driver Kit includes the complete source code for a fully functional ODBC driver that you can tailor and distribute without incurring any royalties. Just implement essential functions like OpenTable, NextRecord, GetData, and PutData, and recompile the driver—it's truly that simple! Moreover, the Network Edition provides the entire source code for a fully operational network-enabled ODBC 3.0 driver, featuring Level 2 capabilities, which you can also customize and share freely. With these resources at your disposal, establishing database connectivity has never been easier or more straightforward, allowing you to focus on your core business activities.

What is Apache Impala?

Impala provides swift response times and supports a large number of simultaneous users for business intelligence and analytical queries within the Hadoop framework, working seamlessly with technologies such as Iceberg, various open data formats, and numerous cloud storage options. It is engineered for effortless scalability, even in multi-tenant environments. Furthermore, Impala is compatible with Hadoop's native security protocols and employs Kerberos for secure authentication, while also utilizing the Ranger module for meticulous user and application authorization based on the specific data access requirements. This compatibility allows organizations to maintain their existing file formats, data architectures, security protocols, and resource management systems, thus avoiding redundant infrastructure and unnecessary data conversions. For users already familiar with Apache Hive, Impala's compatibility with the same metadata and ODBC driver simplifies the transition process. Similar to Hive, Impala uses SQL, which eliminates the need for new implementations. Consequently, Impala enables a greater number of users to interact with a broader range of data through a centralized repository, facilitating access to valuable insights from initial data sourcing to final analysis without sacrificing efficiency. This makes Impala a vital resource for organizations aiming to improve their data engagement and analysis capabilities, ultimately fostering better decision-making and strategic planning.

Media

Media

Integrations Supported

Apache Hive
Apache Iceberg
Cloudera Data Warehouse
Data Sentinel
Hadoop
Inferyx
OpenMetadata
SQL
Salesforce Data 360

Integrations Supported

Apache Hive
Apache Iceberg
Cloudera Data Warehouse
Data Sentinel
Hadoop
Inferyx
OpenMetadata
SQL
Salesforce Data 360

API Availability

Has API

API Availability

Has API

Pricing Information

$9000
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Syware

Company Location

United States

Company Website

www.syware.com/prodlib/odbc

Company Facts

Organization Name

Apache

Company Location

United States

Company Website

impala.apache.org

Categories and 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

Categories and 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

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