Here comes an update of Devart ODBC Drivers, our high-performance connectivity solutions that enable access to a variety of data sources from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32-bit and 64-bit Windows, macOS, and Linux.
ODBC connection makes it easy for developers to access data stored in the Snowflake AI data cloud. Even if you aren’t familiar with Snowflake API or have never handled the specific formatting types of data this database supports, ODBC connectivity will still work for you. Using ODBC drivers to connect to Snowflake eliminates the need for manual interventions or finding workarounds.
Check the potential behind merging the strengths of HubSpot and Power BI, empowering marketers and analysts to extract deeper insights, streamline workflows, and make data-driven decisions that impact the bottom line.
This tutorial is explaining how to build Credit Card Analytics within leveraging Power BI Desktop, Devart ODBC for MongdoDB driver and MongoDB database.
There are many connectivity solutions on the market, but only some of them provide full compatibility with Snowflake data types, support Snowflake standard SQL expressions, or are fit for ETL. Even fewer tools partner with Snowflake. However, with Devart connectivity solutions, you don’t have to look elsewhere since our products have been built to work in perfect tune with Snowflake and are officially highlighted as technology partnership products.
New ODBC drivers make it easier for users to integrate their data from popular platforms into their workflows, reducing the time and effort required for data analysis and reporting.
New ODBC drivers make it easier for users to integrate their data from popular platforms into their workflows, reducing the time and effort required for data analysis and reporting.
It is necessary to have a reliable and efficient way to transfer data from databases to the BI tool. MySQL, one of the most popular open-source relational database management systems, comes in here. This article will explore how to connect MySQL to Tableau and share data seamlessly between the two.
Integrating MySQL with Excel can offer several advantages, including analyzing data in real-time and creating powerful reports. This article will show several methods to connect MySQL to Excel and import data into Excel.
New ODBC drivers make it easier for users to integrate their data from popular platforms into their workflows, reducing the time and effort required for data analysis and reporting.
Salesforce provides a centralized platform for businesses to manage customer interactions, track sales, and streamline operations.In this article, we will describe options for obtaining data from Salesforce for further processing.
A data specialist or a data analyst is the type of specialist who would need to import leads and contacts from Salesforce to Excel. This is because they have the technical skills and knowledge to handle and manipulate large amounts of data. They can use the data import tools and techniques to extract the necessary information from Salesforce and export it to Excel, where it can be further analyzed, processed, and used for reporting purposes.
Connecting to a PostgreSQL database via ODBC (Open Database Connectivity) drivers allows for greater flexibility regarding the programming languages and tools used to interact with the database. ODBC is a widely supported, platform-independent API that allows for communication between an application and a database management system.
Connecting Excel, Power BI, Tableau, and Python to Amazon Redshift using an ODBC (Open Database Connectivity) driver is one way to establish a connection between these tools and the Redshift data warehouse. ODBC is a widely supported, open-source standard for connecting to databases, and Redshift provides an ODBC driver that can be used to connect these tools to Redshift.
In diesem Tutorial erfahren Sie, wie Sie 32-Bit- und 64-Bit-ODBC-Treiber auf Windows 10 installieren und einen DSN für eine ODBC-Datenquelle erstellen können.
Was ist ein...
We are pleased to announce the release of macOS and Linux support for the BigCommerce ODBC driver — a high-performance connectivity tool with enterprise-level...
We are pleased to inform you about the release of all our ODBC drivers for cloud data sources and databases.
With Devart ODBC drivers, you can access various data sources to view and...
We are pleased to announce the release of ODBC Driver for HubSpot that provides access to HubSpot inbound marketing, sales, and customer service data...
We are pleased to announce the availability of MSI installers for all Devart ODBC drivers. The new installer format provides better corporate deployment, thereby...
Devart announced the release of ODBC Driver for Google BigQuery.
The driver is intended for use in various analytics, database management and reporting...
This article provides a comprehensive guide on installing and configuring Devart ODBC drivers on macOS. Understanding this process is crucial for macOS users who need to establish reliable and efficient database connectivity in their applications, ensuring seamless data access and integration across diverse database systems.
This article explains how to install, configure, and test Devart ODBC drivers on Debian-based or RPM-based Linux distributions.
Table of contents
What is an ODBC Driver?...
New versions of ODBC drivers for Oracle, PostgreSQL, QuickBooks were released with improved compatibility with Power Pivot, Visual Basic, and RStudio.
The compatibility with...
Devart announced a release of ODBC Driver for NexusDB. The NexusDB database engine is a client/server and embedded database system for Delphi, C++ Builder,...