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Download CData Drivers for Databricks v23.0.8669 + License Key (Connect to Databricks Data from Anywhere)

Download CData Drivers for Databricks v23.0.8669 + License Key (Connect to Databricks Data from Anywhere)

Version: 23.0.8669
Product Release Date: September 26, 2023
Download Cdata Drivers For Databricks V23.0.8669 + License Key (Connect To Databricks Data From Anywhere)
CData Drivers for Databricks helps you Connect to Databricks from reporting tools, databases, and custom applications through standards-based drivers. CData Drivers for Databricks provide a virtual database abstraction on top of Databricks data.
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CData Drivers for Databricks help you Connect to Databricks from reporting tools, databases, and custom applications through standards-based drivers.

With CData Drivers for Databricks, you can Integrate with BI, Reporting, Analytics, ETL Tools, and Custom Solutions.

The CData Excel Add-In for Databricks provides the easiest way to connect to Databricks data from Excel. From the CData ribbon, you can select Get Data and choose From Databricks to import tables and columns into the spreadsheet. The spreadsheet will then be linked with the remote data. To update the data, edit the spreadsheet.

The CData JDBC Driver for Databricks offers the most natural way to connect to Databricks data from Java-based applications and developer technologies. The driver wraps the complexity of accessing Databricks data in an easy-to-integrate, 100%-Java JDBC driver. Applications can then access Databricks as a traditional database. The driver hides the complexity of accessing data and provides additional powerful security features, such as smart caching, batching, socket management, and more.

The CData SSIS Components for Databricks enables you to connect SQL Server with Databricks data through SSIS workflows. CData Drivers for Databricks wrap the complexity of accessing Databricks data in standard SSIS data flow components.

Cdata Drivers For Databricks

This package includes the following components:

  • Databricks ADO.NET Provider
  • Databricks Data Cmdlets
  • Databricks FireDAC Components
  • Databricks JDBC Driver
  • Databricks ODBC Driver
  • Databricks Power BI Connector
  • Databricks SSIS Components
  • Databricks Tableau Connector
  • Excel Add-In for Databricks

CData Drivers for Databricks Features:

  • Workflow & Automation Tools – Connect to Databricks from popular data migration, ESB, iPaaS, and BPM tools. CData Drivers for Databricks provide straightforward access to Databricks data from popular applications like BizTalk, MuleSoft, SQL SSIS, Microsoft Flow, Power Apps, Talend, and many more.
  • BI & AnalyticsCData Drivers for Databricks offer the fastest and easiest way to connect real-time Databricks data with BI, analytics, reporting, and data visualization technologies. They provide unmatched query performance, complete access to Databricks data and metadata, and seamlessly integrate with your favorite analytics tools.
  • Data Management – By supporting popular database protocols like ODBC, JDBC, and ADO.NET, as well as wire-protocol interfaces for SQL Server and MySQL, it is easy to connect to and manage Databricks data from a wide range of database management applications.
  • Data VirtualizationCData Drivers for Databricks provide a virtual database abstraction on top of Databricks data and support popular data virtualization features like query federation through advanced capabilities for query delegation/predicate pushdown.
  • ETL, Replication, & Warehousing – From drivers and adapters that extend your favorite ETL tools with Databricks connectivity to ETL/ELT tools for replication — our Databricks integration solutions provide robust, reliable, and secure data movement. Connect your RDBMS or data warehouse with Databricks to facilitate operational reporting, offload queries and increase performance, support data governance initiatives, and archive data for disaster recovery.
  • Developer Tools & Technologies – The easiest way to integrate with Databricks from anywhere. Our Databricks drivers offer a data-centric model for Databricks that dramatically simplifies integration — allowing developers to build higher-quality applications faster than ever before.