We are excited to introduce a new version of SecureBridge 10.7 – a suite of client and server components for SSH, SFTP, FTPS, HTTP/HTTPS, SSL, WebSocket, and SignalR protocols – packed with enhanced security, optimized performance, and extended functionality for secure data transmission.

Looking for simple ways to connect an SQL Server Linked Server to different data sources, such as an external database, its table, or a particular object in MySQL Server? The Linked Server configuration allows you to query data and use DML functions to access these external sources directly within SQL Server Management Studio (SSMS). With such a configuration, you are no longer required to move or duplicate data between different database systems to overcome OS barriers and complexities.

Many Python developers choose MongoDB for its speed, flexibility, and scalability. This NoSQL database adapts to different types of data, letting you build features regardless of data structure complexity. It’s a natural choice for applications that have to store lots of different information, handle constant changes, or manage large volumes of data. From this tutorial, you’ll learn how to connect MongoDB using Python Connector from Devart to create, read, update, and delete data.

SQL Server integration services is a powerful data integration and workflow platform provided by Microsoft. It can be used to automate data extraction, transformation, and other ETL processes. You can use SSIS to export data from various data sources like flat files, database servers, spreadsheets, etc. Due to these capabilities, SQL Server integration services are widely used in building data warehousing, business intelligence, and database migration tasks.

Database migration involves transferring data, schemas, and other database objects from one database system to another. How can you migrate data from SQL Server to Oracle with minimal disruption and maximum efficiency? In this article, we will explore the key reasons why companies might choose to migrate from SQL Server to Oracle and how to tackle migration challenges. Also, we’ll provide step-by-step guides on how to execute this migration using the following tools.

Need a reliable bridge between SQLite and any ODBC-compliant software, such as Excel, Power BI, or programming languages like Python and.NET, to execute SQL queries, retrieve data, and interact with SQLite databases? Devart ODBC driver for SQLite is a software interface that enables applications to interlink with SQLite databases using the universal ODBC standard.

Running an SSIS package with multiple parameters from a batch file might sound like a niche skill, but it’s a game-changer for anyone looking to streamline their workflows and enhance efficiency. This approach offers a simple yet powerful way to automate and control complex data integration processes without manually adjusting configurations every time.

Data copying and migration are essential database tasks that arise frequently. Fortunately, many tools are available to assist database users in performing these tasks, with dbForge Studio for MySQL standing out as one of the most versatile and reliable solutions on the market. This article explores the data migration options offered by dbForge Studio for MySQL, highlighting how they allow users to achieve their goals quickly and efficiently.

The ongoing debate between the users of GUI-powered tools and the devotees of command-line utilities is centered around the respective strengths of both approaches. The biggest strength of the former is, naturally, the smooth and easy experience of interaction with databases, which makes GUI tools so attractive to beginners and seasoned professionals alike. In this article, we’ll explore the most popular Windows-compatible GUI tools for MySQL.

Connecting Python projects to Oracle databases is an essential step for many workflows, but the process can feel unnecessarily tedious. Dependency-heavy setups, complex setup files like tnsnames.ora, and platform compatibility issues can make even straightforward projects frustratingly complex. To keep workflows running well, developers must discover a reliable and effective approach to connect Python to Oracle.